**Join a high-scale consumer platform team as a Senior Backend Engineer, building the services behind digital experiences used by millions of people every day.**

# 1\. Overview

We're partnering with a large enterprise technology organization to place a Senior Software Engineer on a platform team that powers its core customer-facing experiences across web and mobile. The team works across Engineering, UX, Product, Business, and Analytics to ship fast, iterate through continuous experimentation and customer feedback, and integrate advanced capabilities such as Generative AI into production services. We're seeking senior backend engineers with hands-on Node.js, TypeScript, and Rust experience and a deep understanding of how the web works at scale. This is a full-time commitment of 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed within a leading enterprise client's engineering organization as part of their extended workforce.

# 2\. Key Responsibilities

- Lead delivery of scoped features through collaborative engineering teams, keeping work aligned with platform and system objectives.
    
- Design, develop, test, and maintain high-quality, efficient services in Node.js, TypeScript, and Rust, across the full software lifecycle and CI/CD.
    
- Build and optimize server-to-server integrations and API layers (REST and GraphQL) that serve high-traffic, customer-facing applications.
    
- Integrate AI/ML capabilities into product services and use generative AI tools to improve engineering productivity.
    
- Contribute to solution design, conduct code reviews, and apply best practices for scalable, secure, and maintainable systems.
    
- Monitor application performance, support defect resolution, and drive continuous improvement.
    
- Mentor peers and contribute to knowledge sharing and engineering excellence across the team.
    

# 3\. Core Qualifications

- 5+ years of professional software engineering experience (or a Bachelor's degree in Computer Science or a related field and 3+ years), building production systems at a recognized, high-scale organization.
    
- Hands-on production coding experience in Node.js and TypeScript on the backend.
    
- Hands-on coding experience in Rust, in production services, performance-critical modules, or substantial systems work.
    
- Strong web fundamentals: HTTP semantics, cookies, headers, caching, sessions, and server-to-server communication patterns (auth between services, timeouts, retries).
    
- Experience building or operating high-traffic, consumer-facing web platforms.
    
- Experience with GraphQL on Node.js (schema design, resolvers, federation) is a plus.
    
- Familiarity with web accessibility standards is a plus.
    
- Demonstrable career progression to senior-level ownership.
    
- Ability to engage reliably for at least 40 hours/week during weekdays.
    
- Excellent written and verbal communication skills, and the ability to explain complex technical concepts clearly to broad audiences.
    

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Senior Software Engineer, Backend (Node.js, TypeScript, Rust)

Mercor is seeking experienced Spanish (Spain) Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Peninsular Spanish-language tasks and on curating high-quality Spanish linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**

- Evaluate the quality and accuracy of LLM-generated Spanish text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
    
- Edit, refine, or rewrite Spanish content to meet linguistic and cultural standards for Spain.
    
- Annotate Spanish text for grammatical, syntactic, and semantic features.
    
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
    
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.
    

**You're a strong fit if you have:**

- Native or near-native fluency in Spanish (Spain), with excellent command over grammar, syntax, and stylistics.
    
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Spanish.
    
- Strong understanding of Peninsular Spanish nuances, regional variations, register, and context-appropriate usage, including how it differs from Latin American Spanish.
    
- Professional fluency in English.
    
- Interest in AI and LLM-driven language technologies (preferred but not required).
    
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
    
- Clear communication skills and experience working in distributed, remote teams.
    

**Why Join**

- Contribute to cutting-edge AI research in partnership with a leading research lab.
    
- Work on high-impact projects that directly support the development of advanced AI systems.
    
- Gain hands-on exposure to state-of-the-art AI research and development.
    
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

Spanish (Spain) Linguistic Expert

Mercor is hiring practicing orthodontists (DDS and DMD) to help build rigorous evaluations of how well AI reads real dental imaging, in partnership with a leading AI lab.

This is not image labeling. You will read de-identified cephalometric and panoramic radiographs and CBCT studies, write the reference finding, and review AI-drafted reads to mark what is inaccurate, unsupported, or unsafe. Your clinical judgment becomes the reference standard that trains and tests frontier models, work that improves outcomes for millions of patients around the world.

**Key Responsibilities**

- Read de-identified orthodontic imaging (cephalometric and panoramic radiographs, CBCT, intraoral scans) and record the reference finding
- Apply the diagnostic conventions and treatment-planning reasoning you use in practice
- Review AI-generated reads and flag errors that are inaccurate, unsupported, or could compromise patient care
- Write structured rationales on clinical rigor, completeness and clarity

**Required Qualifications**

- **DDS or DMD** from a dental school in the United States
- Completed an accredited orthodontics residency (certificate or MS in orthodontics)
- Active, unrestricted US dental license
- **Currently treating patients** as an orthodontist in the US, with at least 5 years of independent practice after residency
- Resident in the US, outside California
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the imaging models clinicians and patients will rely on.

Orthodontist

Mercor is hiring fellowship-trained breast imaging radiologists (MDs and DOs) to help build rigorous evaluations of how well AI reads real imaging studies, in partnership with a leading AI lab.

This is not image labeling. You will read de-identified studies, write the reference finding or report, and review AI-drafted reads to mark what is inaccurate, unsupported, or unsafe. Your clinical judgment becomes the reference standard that trains and tests frontier models, work that improves outcomes for millions of patients around the world.

**Key Responsibilities**

- Read de-identified screening and diagnostic mammography, tomosynthesis, breast ultrasound and breast MRI studies and record the reference finding
- Apply the structured systems and measurement conventions you use in practice (BI-RADS and related standards)
- Review AI-generated reads and flag errors that are inaccurate, unsupported, or could compromise patient safety
- Write structured rationales on clinical rigor, completeness and clarity

**Required Qualifications**

- **MD or DO** from a medical school in the United States
- Board certified in **ABR Diagnostic Radiology** through an ABMS member board or the AOA
- Completed a breast imaging or women's imaging fellowship
- Active, unrestricted US medical license
- **Currently practicing** and reading breast imaging in the US, with at least 5 years of independent practice after training
- Resident in the US, outside California
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the imaging models clinicians and patients will rely on.

Breast Imaging Radiologist

Mercor is working with a leading AI research lab on a project to improve how AI systems do real-world software engineering work. We're looking for senior software engineers who have deep experience at top technology, quantitative or financial firms. You'll use that expertise to train and evaluate frontier AI models.
This role is open to candidates based in the United States, United Kingdom, Canada, Australia or New Zealand.
**Key Responsibilities**

- Designing realistic, challenging software engineering tasks drawn from real-world work, including but not limited to:
    
    - feature changes in large codebases
        
    - debugging and root-cause analysis
        
    - code review
        
    - system design and architecture decisions
        
    - codebase Q&A
        
    - technical documentation and planning
        
- Writing clear task proposals that explain why each task is realistic, how it is verified and what makes it hard for current AI models
    
- Illustrating "what good looks like" by writing reference solutions, tests and precise, task-specific criteria covering correctness, architecture, maintainability, style and scope
    
- Assessing AI-generated code and engineering work, and working alongside AI coding agents to judge where they succeed and fail
    
- Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
    
- Taking structured feedback from senior reviewers and iterating on submitted work
    

**Ideal Profile**

- 4+ years of professional software engineering experience in one of these settings:
    
    - A leading technology or quantitative firm (such as FAANG+, Magnificent 7+, top-tier quant funds or equivalent) with a Mid-senior level title. Machine Learning, Infrastructure, Data, Security and Quant Developer engineering roles may also qualify.
        
    - A top financial institution (a leading bank, hedge fund or trading firm), working as a software engineer
        
    - A high-growth technology company that is a household name, with a senior-level title
        
    - Experience may be split across more than one qualifying employer
        
- Strong command of at least one major language (such as Python, Java, C++, Go, TypeScript or Rust), along with system design, testing, debugging and code review
    
- Proven ability to work in large, complex production codebases and to judge code quality beyond "it passes the tests"
    
- Excellent written English, including the ability to explain technical decisions and trade-offs clearly
    
- Bachelor's degree from an English-speaking country
    
- A detail-oriented, consistent approach to evaluating complex work
    
- Comfortable receiving feedback and calibrating judgment against set standards

Senior Software Engineering Experts

**Role Overview**
Mercor is working with a leading AI research lab on a project to improve how AI systems do real-world data science and data engineering work. We’re looking for senior data scientists and data engineers who have deep experience at top technology, quantitative or financial firms. You’ll use that expertise to train and evaluate frontier AI models.
This role is open to candidates based in the United States, United Kingdom, Canada, Australia or New Zealand.
**Key Responsibilities**

- Designing realistic, challenging data science and data engineering tasks, including but not limited to exploratory analyses, statistical modeling, machine learning pipelines, ETL and data pipeline design, SQL and Python workflows, and experimentation or A/B test write-ups
    
- Illustrating "what good looks like" by writing precise, task-specific criteria for data science and data engineering deliverables
    
- Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
    
- Taking structured feedback from senior reviewers and iterating on submitted work
    

**Ideal Profile**

- 4+ years of professional data science, data engineering or machine learning experience in one of these settings:
    
    - A leading technology or quantitative firm (such as FAANG+, Magnificent 7+, top-tier quant funds or equivalent) with a Mid-senior level title. Applied Scientist, Research Scientist and Machine Learning Engineer/Scientist roles also qualify.
        
    - A top financial institution (a leading bank, hedge fund or trading firm)
        
    - A top-tier consulting firm, working as a data scientist
        
    - A Fortune 100 company, with a senior or manager-level title
        
    - Experience may be split across more than one qualifying employer
        
- Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference
    
- Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines
    
- Excellent written English, including the ability to explain technical findings clearly
    
- Bachelor's degree from an English-speaking country
    
- A detail-oriented, consistent approach to evaluating complex work
    
- Comfortable receiving feedback and calibrating judgment against set standards

Senior Data Scientist and Data Engineering Experts

Mercor is hiring on behalf of a leading AI research lab developing next-generation clinical AI systems. We're seeking experienced Certified Pharmacy Technicians (CPhT) to support the development of AI-powered prior authorisation workflows by reviewing medication-related clinical content and evaluating AI-generated responses for accuracy, safety, clarity, and completeness. This role is ideal for pharmacy technicians with strong medication management and pharmacy operations experience who are interested in contributing to cutting-edge healthcare AI.

**What You'll Do**

- Answer medication-related clinical questions using patient context, source materials, and labelling guidelines.
    
- Review AI-generated responses for clinical accuracy, safety, clarity, completeness, and evidence support.
    
- Correct inaccurate or incomplete responses and provide structured annotations and written feedback.
    
- Identify and escalate cases involving insufficient evidence, conflicting guidance, unclear clinical context, or patient safety concerns.
    
- Apply project rubrics and quality standards consistently while participating in calibration and feedback sessions.
    

**Representative topics include:**

- Medication history
    
- Prior authorisation requirements
    
- Medication indications
    
- Dosing information
    
- Contraindications
    
- Drug interactions
    
- Supporting clinical documentation
    
- Pharmacy workflows
    

**Qualifications**

- Certified Pharmacy Technician (CPhT) or equivalent pharmacy technician experience.
    
- Hands-on experience with medications, prescriptions, pharmacy operations, and prior authorisation workflows.
    
- Strong understanding of medication safety, drug interactions, and pharmacy best practices.
    
- Excellent written communication skills and strong attention to detail.
    
- Comfortable following structured annotation guidelines.
    
- Available for 30–40 hours per week during the project.
    

**Preferred Experience**

- Prior authorisation or speciality pharmacy
    
- Medication access programs
    
- Epic, Cerner, or other electronic health record (EHR) systems
    
- Clinical quality assurance
    
- AI evaluation, clinical content review, or healthcare data annotation
    
- 340B or medication assistance programs
    

**What Success Looks Like**

- Consistently accurate, evidence-based clinical annotations and reviews.
    
- High agreement with project quality standards.
    
- Reliable throughput and timely delivery.
    
- Clear identification and escalation of safety-critical or ambiguous cases.
    
- Rapid incorporation of calibration feedback.

Certified Pharmacy Technician (CPhT)

Mercor is hiring on behalf of a leading AI research lab developing next-generation clinical AI systems. We're seeking experienced, licensed US Pharmacists to help improve AI-powered prior authorisation workflows by answering medication-related clinical questions and reviewing AI-generated responses for clinical accuracy, safety, clarity, and completeness. This is an opportunity to apply your clinical expertise to real-world healthcare AI while helping build safer, more reliable clinical decision-support systems.

**What You'll Do**

- Answer medication-related clinical questions using patient context, source materials, and labelling guidelines.
    
- Review AI-generated responses for clinical accuracy, safety, clarity, completeness, and evidence support.
    
- Correct inaccurate or incomplete responses and provide structured annotations and written feedback.
    
- Identify and escalate cases involving insufficient evidence, conflicting guidance, unclear clinical context, or patient safety concerns.
    
- Apply project rubrics and quality standards consistently while participating in calibration and feedback sessions.
    

**Representative topics include:**

- Medication indications
    
- Dosing recommendations
    
- Contraindications
    
- Drug interactions
    
- Treatment history
    
- Prior authorisation criteria
    
- Supporting clinical documentation
    

**Qualifications**

- Active US Pharmacist licence (PharmD or equivalent).
    
- Strong experience with medications, pharmacy workflows, and clinical decision-making.
    
- Excellent understanding of drug interactions, contraindications, and prescribing guidelines.
    
- Strong written communication skills and attention to detail.
    
- Comfortable following structured annotation guidelines.
    
- Available for 30–40 hours per week during the project.
    

**Preferred Experience**

- Prior authorisation or speciality pharmacy
    
- Managed care or medication access
    
- Epic, Cerner, or other electronic health record (EHR) systems
    
- Clinical quality assurance
    
- AI evaluation, clinical content review, or healthcare data annotation
    
- 340B or medication assistance programs
    

**What Success Looks Like**

- Consistently accurate, evidence-based clinical reviews.
    
- High agreement with project quality standards.
    
- Reliable throughput and timely delivery.
    
- Clear identification and escalation of safety-critical or ambiguous cases.
    
- Rapid incorporation of calibration feedback.

Licensed US Pharmacist

Mercor is seeking experienced Vietnamese Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Vietnamese-language tasks and on curating high-quality Vietnamese linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated Vietnamese text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite Vietnamese content to meet linguistic and cultural standards.
- Annotate Vietnamese text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in Vietnamese, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Vietnamese.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

Vietnamese Linguistic Experts

Mercor is seeking experienced Indonesian Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Indonesian-language tasks and on curating high-quality Indonesian linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated Indonesian text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite Indonesian content to meet linguistic and cultural standards.
- Annotate Indonesian text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in Indonesian, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Indonesian.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

Indonesian Linguistic Experts

Mercor is seeking experienced Japanese Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Japanese-language tasks and on curating high-quality Japanese linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated Japanese text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite Japanese content to meet linguistic and cultural standards.
- Annotate Japanese text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in Japanese, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Japanese.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

Japanese Linguistic Experts

Mercor is seeking experienced Hindi Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Hindi-language tasks and on curating high-quality Hindi linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated Hindi text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite Hindi content to meet linguistic and cultural standards.
- Annotate Hindi text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in Hindi, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Hindi.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

Hindi Linguistic Experts

Mercor is seeking experienced Arabic Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Arabic-language tasks and on curating high-quality Arabic linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated Arabic text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite Arabic content to meet linguistic and cultural standards.
- Annotate Arabic text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in Arabic, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Arabic.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

Arabic Linguistic Experts

Mercor is seeking experienced Portuguese Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Portuguese-language tasks and on curating high-quality Portuguese linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated Portuguese text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite Portuguese content to meet linguistic and cultural standards.
- Annotate Portuguese text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in Portuguese, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Portuguese.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

Portuguese Linguistic Experts

Mercor is seeking experienced English Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in English-language tasks and on curating high-quality English linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated English text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite English content to meet linguistic and cultural standards.
- Annotate English text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in English, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in English.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

English Linguistic Experts

Mercor is seeking experienced French Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in French-language tasks and on curating high-quality French linguistic data to train and improve the model's understanding and generation capabilities.

**Key Responsibilities:**
- Evaluate the quality and accuracy of LLM-generated French text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite French content to meet linguistic and cultural standards.
- Annotate French text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

**You're a strong fit if you have:**
- Native or near-native fluency in French, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in French.
- Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.

**Why Join**
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.

French Linguistic Experts

Mercor is hiring board-certified radiologists (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will read de-identified patient charts and judge AI answers to clinical questions in radiology.

**Key Responsibilities**

- Evaluate AI answers to radiology questions for clinical accuracy, safety and alignment with current standards of care
- Check each answer against the patient chart and decide which of two responses is stronger
- Write structured rationales on clinical rigor, completeness and clarity
- Flag errors that could compromise patient safety

**Required Qualifications**

- **MD or DO** from an accredited medical school
- Board certified in **ABR Diagnostic Radiology** through an ABMS member board or the AOA
- Active, unrestricted US medical license
- Residency complete, plus fellowship where your specialty requires one
- **Currently practicing** and seeing patients in the US, with at least 1 year of independent practice after training
- 3+ years of post-training experience strongly preferred
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

Radiologist

Mercor is hiring board-certified dermatologists (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will read de-identified patient charts and judge AI answers to clinical questions in dermatology.

**Key Responsibilities**

- Evaluate AI answers to dermatology questions for clinical accuracy, safety and alignment with current standards of care
- Check each answer against the patient chart and decide which of two responses is stronger
- Write structured rationales on clinical rigor, completeness and clarity
- Flag errors that could compromise patient safety

**Required Qualifications**

- **MD or DO** from an accredited medical school
- Board certified in **ABD Dermatology** through an ABMS member board or the AOA
- Active, unrestricted US medical license
- Residency complete, plus fellowship where your specialty requires one
- **Currently practicing** and seeing patients in the US, with at least 1 year of independent practice after training
- 3+ years of post-training experience strongly preferred
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

Dermatologist

Mercor is hiring board-certified infectious disease physicians (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will read de-identified patient charts and judge AI answers to clinical questions in infectious disease.

**Key Responsibilities**

- Evaluate AI answers to infectious disease questions for clinical accuracy, safety and alignment with current standards of care
- Check each answer against the patient chart and decide which of two responses is stronger
- Write structured rationales on clinical rigor, completeness and clarity
- Flag errors that could compromise patient safety

**Required Qualifications**

- **MD or DO** from an accredited medical school
- Board certified in **ABIM Infectious Disease** through an ABMS member board or the AOA
- Active, unrestricted US medical license
- Residency complete, plus fellowship where your specialty requires one
- **Currently practicing** and seeing patients in the US, with at least 1 year of independent practice after training
- 3+ years of post-training experience strongly preferred
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

Infectious Disease Physician

Mercor is hiring board-certified endocrinologists (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will read de-identified patient charts and judge AI answers to clinical questions in endocrinology.

**Key Responsibilities**

- Evaluate AI answers to endocrinology questions for clinical accuracy, safety and alignment with current standards of care
- Check each answer against the patient chart and decide which of two responses is stronger
- Write structured rationales on clinical rigor, completeness and clarity
- Flag errors that could compromise patient safety

**Required Qualifications**

- **MD or DO** from an accredited medical school
- Board certified in **ABIM Endocrinology, Diabetes and Metabolism** through an ABMS member board or the AOA
- Active, unrestricted US medical license
- Residency complete, plus fellowship where your specialty requires one
- **Currently practicing** and seeing patients in the US, with at least 1 year of independent practice after training
- 3+ years of post-training experience strongly preferred
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

Endocrinologist

Mercor is hiring board-certified otolaryngologists (ENT) (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will read de-identified patient charts and judge AI answers to clinical questions in otolaryngology.

**Key Responsibilities**

- Evaluate AI answers to otolaryngology questions for clinical accuracy, safety and alignment with current standards of care
- Check each answer against the patient chart and decide which of two responses is stronger
- Write structured rationales on clinical rigor, completeness and clarity
- Flag errors that could compromise patient safety

**Required Qualifications**

- **MD or DO** from an accredited medical school
- Board certified in **ABOto Otolaryngology – Head and Neck Surgery** through an ABMS member board or the AOA
- Active, unrestricted US medical license
- Residency complete, plus fellowship where your specialty requires one
- **Currently practicing** and seeing patients in the US, with at least 1 year of independent practice after training
- 3+ years of post-training experience strongly preferred
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

Otolaryngologist (ENT)

Mercor is hiring board-certified geriatricians (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will read de-identified patient charts and judge AI answers to clinical questions in geriatric medicine.

**Key Responsibilities**

- Evaluate AI answers to geriatric medicine questions for clinical accuracy, safety and alignment with current standards of care
- Check each answer against the patient chart and decide which of two responses is stronger
- Write structured rationales on clinical rigor, completeness and clarity
- Flag errors that could compromise patient safety

**Required Qualifications**

- **MD or DO** from an accredited medical school
- Board certified in **ABIM or ABFM Geriatric Medicine** through an ABMS member board or the AOA
- Active, unrestricted US medical license
- Residency complete, plus fellowship where your specialty requires one
- **Currently practicing** and seeing patients in the US, with at least 1 year of independent practice after training
- 3+ years of post-training experience strongly preferred
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

Geriatrician

Mercor is hiring board-certified psychiatrists (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will read de-identified patient charts and judge AI answers to clinical questions in psychiatry.

**Key Responsibilities**

- Evaluate AI answers to psychiatry questions for clinical accuracy, safety and alignment with current standards of care
- Check each answer against the patient chart and decide which of two responses is stronger
- Write structured rationales on clinical rigor, completeness and clarity
- Flag errors that could compromise patient safety

**Required Qualifications**

- **MD or DO** from an accredited medical school
- Board certified in **ABPN Psychiatry** through an ABMS member board or the AOA
- Active, unrestricted US medical license
- Residency complete, plus fellowship where your specialty requires one
- **Currently practicing** and seeing patients in the US, with at least 1 year of independent practice after training
- 3+ years of post-training experience strongly preferred
- Clear written communication and close attention to detail

**Project Details**

- Remote and hourly, with flexible part-time hours
- Start date: immediate

**Application & Onboarding**

- Upload your resume
- Complete a 25-minute conversational interview on your background, experience and motivations
- Credential verification: license status, board certification, training and current practice setting
- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

Psychiatrist

## About the work

We are building a dataset of real retail trading behavior: complete brokerage trade histories, paired with the trader's own explanation of how they trade and why they made their biggest decisions. The data is used to study and model how individual traders make decisions.

This is a one-time task, paid a flat **$400** on completion.

## What you will do

1. **Upload your trade history.** Export your complete transaction history from your U.S. brokerage account using the broker's standard export, and upload it to our platform. It must cover at least 24 months and include every trade, with none removed. Remove your name, account numbers, address and other personal details before uploading.
    
2. **Describe your trading style.** Write a short summary (about 100 to 250 words) of your strategy, typical holding period, the instruments you trade and the platforms you use.
    
3. **Explain your 5 biggest trades.** Pick at least 5 of your most significant or influential trades, such as large gains, large losses or high-conviction calls, with stocks preferred. For each, explain your reasoning at entry or exit and what information drove the decision. Keep any reflection on how it turned out separate from your original reasoning. Each explanation must name a specific trade in your history, with the symbol, date, side and quantity matching that trade.
    

The writing takes up to about 1.5 hours.

## Pay

- **$400, paid once** you have uploaded your full history and fully annotated at least 5 trades.
    
- Partial submissions are not paid: the upload and all 5 annotations are required.
    

## Who we are looking for

- **Location:** United States only.
    
- **Trading experience:** at least 2 years of active trading on your own account, and at least 1,000 trades over that period (about 2 per trading day).
    
- **Instruments:** stocks; options count too.
    
- **Broker:** your account is with a U.S. retail broker, such as Robinhood, Schwab, Fidelity, E\*TRADE, Webull or Interactive Brokers.
    
- **Background:** any. No minimum education and any field of study, from current college students to graduate-degree holders. Non-finance professionals, finance professionals and full-time traders all qualify. Current or former professional traders can take part using their own personal account only.
    
- **Age:** 18 or older.
    
- **Willing to** share your complete brokerage trade history, with no trades removed.
    

## Not a fit

- Fewer than 2 years of history, or fewer than 1,000 trades
    
- Trading only through an account you don't own, such as a managed, employer or prop-firm account
    
- Trading mostly crypto or futures
    

## Data license agreement

Taking part requires signing Mercor's Expert Content License Agreement, which covers how your trading history and annotations are licensed and used. You sign it as part of applying.

Retail Trader

**About the Role**
Mercor is partnering with a leading AI lab to train frontier models on high-quality legal reasoning data. This is an **evergreen talent pool** for experienced **US Litigation attorneys** — by applying, you join a standing bench and are considered for ongoing and upcoming legal-AI projects as they launch. We review applications on a rolling basis and reach out when work that fits your background comes up.

Typical work includes recurring side-by-side evaluations and legal dataset generation: you'll compare AI-generated legal work, judge which response is stronger and why, and create realistic litigation tasks and reference answers.

**What You'll Do**

- Compare pairs of responses to litigation tasks (research memos, pleadings, motions, briefs, discovery and case strategy) and decide which is stronger, with clear reasoning
    
- Write concise justifications grounded in the source documents and applicable US law
    
- Create realistic legal prompts, fact patterns and model answers drawn from your litigation experience
    
- Flag errors, gaps and risky advice in AI-generated legal content
    
- Attend onboarding and calibration sessions
    

**You're a Good Fit If You**

- Are admitted to practice in at least one US state (active bar membership)
    
- Have 3+ years of US litigation practice, such as civil or commercial litigation, motion practice, discovery and trial preparation
    
- Hold a J.D. from an ABA-accredited law school
    
- Write clearly and pay close attention to detail
    

**Bonus Qualifications**

- 2+ years of experience at an AmLaw 100 firm (strongly preferred)
    
- Prior work on legal AI projects with Mercor
    
- Prior data annotation, AI evaluation or legal-benchmark experience
    

**Role Highlights**

- Evergreen talent pool — apply once and be considered for ongoing projects as they launch
    
- Fully remote, flexible hours; recurring tasks as new work comes up
    
- Applications reviewed on a rolling basis

US Contract Attorney — Litigation

**About the Role**
Mercor is partnering with a leading AI lab to train frontier models on high-quality legal reasoning data. This is an **evergreen talent pool** for experienced **US In-House Counsel** — by applying, you join a standing bench and are considered for ongoing and upcoming legal-AI projects as they launch. We review applications on a rolling basis and reach out when work that fits your background comes up.

Typical work includes recurring side-by-side evaluations and legal dataset generation: you'll compare AI-generated legal work, judge which response is stronger and why, and create realistic in-house legal tasks and reference answers.

**What You'll Do**

- Compare pairs of responses to in-house legal tasks (contract review, policy and compliance questions, risk assessments and business-facing legal advice) and decide which is stronger, with clear reasoning
    
- Write concise justifications grounded in the source documents and applicable US law
    
- Create realistic legal prompts, fact patterns and model answers drawn from your in-house experience
    
- Flag errors, gaps and risky advice in AI-generated legal content
    
- Attend onboarding and calibration sessions
    

**You're a Good Fit If You**

- Are admitted to practice in at least one US state (active bar membership)
    
- Have 3+ years of legal practice, including in-house experience advising a business on contracts, compliance, employment, risk or disputes
    
- Hold a J.D. from an ABA-accredited law school
    
- Write clearly and pay close attention to detail
    

**Bonus Qualifications**

- 2+ years of experience at an AmLaw 100 firm (strongly preferred)
    
- Prior work on legal AI projects with Mercor
    
- Prior data annotation, AI evaluation or legal-benchmark experience
    

**Role Highlights**

- Evergreen talent pool — apply once and be considered for ongoing projects as they launch
    
- Fully remote, flexible hours; recurring tasks as new work comes up
    
- Applications reviewed on a rolling basis

US Contract Attorney — In-House Counsel

**About the Role**
Mercor is partnering with a leading AI lab to train frontier models on high-quality legal reasoning data. This is an **evergreen talent pool** for experienced **US Transactional attorneys** — by applying, you join a standing bench and are considered for ongoing and upcoming legal-AI projects as they launch. We review applications on a rolling basis and reach out when work that fits your background comes up.

Typical work includes recurring side-by-side evaluations and legal dataset generation: you'll compare AI-generated legal work, judge which response is stronger and why, and create realistic transactional tasks and reference answers.

**What You'll Do**

- Compare pairs of responses to transactional tasks (contract drafting, redlines, issues lists, due diligence summaries and deal analyses) and decide which is stronger, with clear reasoning
    
- Write concise justifications grounded in the source documents and applicable US law
    
- Create realistic legal prompts, fact patterns and model answers drawn from your transactional experience
    
- Flag errors, gaps and risky advice in AI-generated legal content
    
- Attend onboarding and calibration sessions
    

**You're a Good Fit If You**

- Are admitted to practice in at least one US state (active bar membership)
    
- Have 3+ years of US transactional practice, such as M&A, finance, capital markets, commercial contracts or corporate matters
    
- Hold a J.D. from an ABA-accredited law school
    
- Write clearly and pay close attention to detail
    

**Bonus Qualifications**

- 2+ years of experience at an AmLaw 100 firm (strongly preferred)
    
- Prior work on legal AI projects with Mercor
    
- Prior data annotation, AI evaluation or legal-benchmark experience
    

**Role Highlights**

- Evergreen talent pool — apply once and be considered for ongoing projects as they launch
    
- Fully remote, flexible hours; recurring tasks as new work comes up
    
- Applications reviewed on a rolling basis

US Contract Attorney — Transactional

**About the Role**
Mercor is partnering with a leading AI lab to train frontier models on high-quality legal reasoning data. We're hiring US litigators with federal court experience for a focused motion-brief evaluation project. For each review, you'll read two motion briefs written for the same case, decide which one you prefer, score both on several quality dimensions and mark errors directly in the PDFs.

**What You'll Do**

- Read two motion briefs for the same case and pick the stronger one, with clear reasoning
    
- Score each brief on a set of defined dimensions
    
- Annotate the brief PDFs inline, flagging legal, factual, citation and drafting errors
    
- Complete all the review as per the requirements
    
- Attend a short onboarding session before kickoff
    

**You're a Good Fit If You**

- Are admitted to practice in at least one US state (active bar membership)
    
- Have 3+ years of US litigation practice with substantial federal court experience, including drafting or opposing motions
    
- Practice primarily in areas governed by federal law or litigated in federal court (practices focused mainly on state law, such as family law, are not a fit)
    
- Hold a J.D. from an ABA-accredited law school
    
- Write clearly and pay close attention to detail
    

**Bonus Qualifications**

- 2+ years of experience at an AmLaw 100 firm (strongly preferred)
    
- Prior work on legal AI projects with Mercor
    
- Prior data annotation, AI evaluation or legal-benchmark experience
    

**Role Highlights**

- Time commitment: about 30–40 hours total, all within a one-week review window
    
- Immediately required
    
- You must complete all required reviews, as the project design depends on every attorney finishing the full set

US Contract Attorney — Federal Litigation

Mercor is hiring Senior Software Engineers to work on a project with a leading AI research lab. You'll apply your open-source engineering experience to real software engineering work.

**You're a good fit if you:**

- Work as a Senior, Staff or Principal Software Engineer (or equivalent senior individual contributor)
- Actively contribute to open-source projects, with merged pull requests or commits in the last 6 months
- Maintain or contribute to projects with real adoption, such as 100+ GitHub stars or clear package usage

Senior Software Engineer

Mercor is seeking experienced **software engineers at companies that serve retail investors** for a short, paid expert interview on behalf of a leading AI company building financial intelligence products. In a single **45–60 minute conversation**, you will share how engineering teams like yours evaluate, choose, and integrate third-party APIs and AI vendors. This is a good fit for backend, integrations, or platform engineers (or hands-on tech leads and engineering managers) at online brokerages, investing apps, robo-advisors, neobanks with investing, wealth platforms, or brokerage infrastructure providers.

* * *

### What You'll Do

- Join one 45–60 minute remote interview at a time that works for you.
    
- Walk through how your team evaluated or shortlisted an outside API or AI vendor (e.g. market data, news/research, identity, or AI chat), and what drove the final decision.
    
- Share what made integrations go well or badly: documentation, reliability, pricing, security and compliance review, and support.
    
- Give candid feedback on what you would want from vendors serving retail-investing products.
    

Please share only your own experience and opinions. You will **not** be asked for confidential or proprietary information about your employer.

* * *

### Requirements

- Currently employed **in-house** (not freelancing or consulting) as a software engineer, backend or integrations engineer, platform engineer, tech lead, or engineering manager who is still hands-on.
    
- Work at a company that reaches **retail investors**, such as an online brokerage, investing app, robo-advisor, neobank with investing, wealth platform, or brokerage infrastructure provider.
    
- Work on the **retail product side**, not institutional, hedge fund, or asset management desks.
    
- Evaluated or integrated a **third-party API or AI vendor in the past 12 months** (or will soon).
    
- **Involved in choosing** the vendor (helped evaluate or shortlist), not only building it after the decision was made.
    

* * *

### Nice to Have

- Integrated market data, news, research, or AI chat features.
    
- Experience across different company sizes or seniority levels.
    

* * *

### Why Join?

- Paid for your time, with a flexible, one-time commitment that fits alongside your current role.
    
- Share your perspective to help shape AI and data products built for retail investors.

Software Engineer – Retail Investing Platforms (Paid Expert Interview)

**Join a leading AI lab's cutting-edge research team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced LLMs.**

# 1\. Overview

Join a leading AI lab's cutting-edge research team and help build foundational AI models for science from the ground up. We're seeking talented Genomics and Cell Biology subject-matter experts (SMEs), including molecular biologists, cell biologists, geneticists and synthetic biologists working at the bench or computationally, to bring recent, hands-on laboratory expertise to the design and evaluation of advanced AI models for biology.

This is a part-time position through Cincinnatus LLC (or an appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in molecular cloning, primer and CRISPR design, functional genomics, sequence analysis and cell-based assays.
- Design challenging, non-searchable biology tasks, benchmarks and training data, and write accurate, well-structured solutions to problems such as construct design, protocol planning and assay troubleshooting.
- Evaluate AI model outputs and step-by-step reasoning on biology tasks, judging the biological feasibility of proposed protocols and computational workflows, and provide clear, written technical feedback.
- Develop specifications, grading rubrics and verification processes for biology data produced by external technical teams, and act as the domain authority on data quality.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

# 3\. Core Qualifications

- PhD in molecular biology, cell biology, genetics, genomics, synthetic biology, biochemistry or a closely related discipline. Strong recent PhD graduates and postdoctoral researchers are encouraged to apply.
- Recent, hands-on experience (bench or computational) with workflows such as PCR / qPCR, molecular cloning, CRISPR, cell-based assays, sequence analysis or functional genomics.
- Broad experience across organisms, model systems and methods, rather than a single narrow technique.
- Comfortable using scientific software and AI tools (no coding required).
- Ability to engage reliably for at least 20 hours/week during weekdays.
- Strong written communication and collaboration skills, and the ability to explain complex technical decisions clearly.
- Nice to have: 1 to 3 years of post-PhD experience, or experience evaluating AI models or agents, designing benchmarks, or writing grading rubrics.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus, or an appropriate international entity, serves as the employer of record for these engagements, providing employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Genomics & Cell Biology Specialist

**Join a leading AI lab's cutting-edge research team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced LLMs.**

# 1\. Overview

Join a leading AI lab's cutting-edge research team and help build foundational AI models for science from the ground up. We're seeking talented Drug Discovery subject-matter experts (SMEs), including pharmacologists, DMPK / ADME scientists and toxicologists from pharma, biotech, contract research or academic settings, to bring deep, hands-on discovery expertise to the design and evaluation of advanced AI models for drug discovery.

This is a part-time position through Cincinnatus LLC (or an appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in mechanism of action, target and cellular pharmacology, ADME/Tox, and PK/PD.
- Design challenging, non-searchable drug discovery tasks, benchmarks and training data, and write accurate, well-structured solutions to problems such as interpreting assay readouts, identifying compound liabilities and planning optimization strategy.
- Evaluate AI model outputs and step-by-step reasoning on drug discovery tasks, diagnosing errors in scientific logic, tool usage and factual accuracy, and provide clear, written technical feedback.
- Develop specifications, grading rubrics and verification processes for drug discovery data produced by external technical teams, and act as the domain authority on data quality.
- Advise on assay design and quality control, experimental failure modes, and the biological and pharmacological validity of model outputs.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

# 3\. Core Qualifications

- PhD in pharmacology, pharmaceutical sciences, toxicology, DMPK, biochemistry or a closely related discipline, or equivalent research experience.
- 3+ years of experience in early-to-mid stage drug discovery, pharmacology, DMPK / ADME or toxicology at a recognized organization, such as a pharmaceutical or biotech company, a contract research organization, or an academic drug discovery group.
- Hands-on experience analyzing experimental drug discovery data, such as in vitro ADME and safety assays, PK/PD studies, CRO assay readouts or LC-MS bioanalysis, and using it to guide compound decisions.
- Comfortable using PK/PD or data analysis software and scientific AI tools (no coding required).
- Ability to engage reliably for at least 20 hours/week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
- Nice to have: experience with PK/PD or ADME modeling, writing grading rubrics, designing benchmark tasks, or evaluating scientific AI models.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus, or an appropriate international entity, serves as the employer of record for these engagements, providing employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Drug Discovery Specialist, Pharmacology & ADME/Tox

**Join a leading AI lab's cutting-edge research team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced LLMs.**

# 1\. Overview

Join a leading AI lab's cutting-edge research team and help build foundational AI models for science from the ground up. We're seeking talented Chemistry subject-matter experts (SMEs), including synthetic, organic, medicinal, analytical and physical chemists from academia or industry, to bring deep, hands-on laboratory expertise to the design and evaluation of advanced AI models for chemistry.

This is a part-time position through Cincinnatus LLC (or an appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in synthetic chemistry, reaction mechanisms, structure elucidation, and physical-chemical property reasoning.
- Design challenging, non-searchable chemistry tasks, benchmarks and training data, and write accurate, well-structured solutions to problems such as multi-step route design, reaction optimization and spectroscopic characterization.
- Evaluate AI model outputs and step-by-step reasoning on chemistry tasks, diagnosing errors in chemical logic, tool usage and factual accuracy, and provide clear, written technical feedback.
- Develop specifications, grading rubrics and verification processes for chemistry data produced by external technical teams, and act as the domain authority on data quality.
- Advise on experimental design, common lab failure modes, and the chemical validity of model outputs, including molecular representations such as SMILES.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

# 3\. Core Qualifications

- PhD in chemistry (synthetic, organic, medicinal, analytical, physical or a closely related discipline), or equivalent research experience.
- 3+ years of hands-on chemistry experience at a recognized organization, such as a pharmaceutical, biotech, chemical or materials company, a contract research organization, or a university research group.
- Hands-on experience in small-molecule synthesis, including designing and running multi-step routes and optimizing reactions.
- Practical experience characterizing compounds with analytical techniques such as NMR, mass spectrometry, IR and HPLC / LC-MS, and interpreting the resulting data.
- Comfortable using cheminformatics and scientific AI tools (no coding required).
- Ability to engage reliably for at least 20 hours/week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
- Nice to have: experience with cheminformatics representations (SMILES / SMARTS), writing grading rubrics, designing benchmarks, or evaluating scientific AI models or agents.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus, or an appropriate international entity, serves as the employer of record for these engagements, providing employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Chemistry Specialist, Synthetic & Analytical Chemistry

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.**

# 1\. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking MLOps and ML systems engineers with hands-on experience in large language model infrastructure across any of four areas: accelerator kernel programming, performance profiling and trace analysis, debugging accelerated and distributed workloads, and high-throughput inference serving. Experience with JAX, XLA or TPUs is especially valuable. This role involves AI model training and evaluation work, including writing and assessing ML systems tasks and solutions to generate high-quality training data for frontier AI systems.

This is a fully remote role open to candidates worldwide. Depending on where you are based, your engagement will be arranged through Cincinnatus LLC or one of its trusted employer-of-record partners in your country, with the opportunity to be placed at a leading AI lab as part of their extended workforce. **This is a 40-hour full-time engagement, with no conflicts/no other engagements.**

# 2\. Key Responsibilities

- Design challenging tasks across kernels, profiling, debugging and inference serving, including adversarial problems that expose where frontier models fail on accelerator code (for example Pallas kernels on TPU), and write accurate, well-structured solutions to them.
    
- Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems, compilers and training infrastructure topics.
    
- Evaluate ML systems tasks and solutions, and provide clear written technical feedback that stands up to expert review.
    
- Develop guidelines and detailed rubrics covering kernel optimization, profiler output interpretation, distributed systems reasoning, and serving throughput and latency trade-offs.
    
- Collaborate with other subject matter experts to keep training data consistent and accurate.
    

# 3\. Core Qualifications

- 2+ years of hands-on professional experience in ML systems, ML infrastructure, model serving, or accelerator performance engineering. This is a hands-on systems role rather than an applied modelling or data science one.
    
- Practical experience in at least one of the following, with more than one a strong plus: writing or optimizing custom kernels (Pallas, Triton, CUDA, CUTLASS); performance profiling and trace analysis (JAX/XLA profiler, Kineto, torch.profiler, Nsight); debugging distributed or accelerator-bound workloads; serving large language models at scale (vLLM, SGLang, TensorRT-LLM, JetStream, KV cache, paged attention, continuous batching).
    
- Working production experience with JAX and/or PyTorch. Framework-level depth is a strong plus: custom operators, sharding and distributed training (pjit/shard_map, FSDP, Megatron, MaxText), or compiler and graph-level work (XLA/StableHLO, torch.compile, MLIR).
    
- Experience with modern accelerators such as TPU (v4 to v6e), H100, B200, Trainium or MI300, and the ability to reason about throughput, latency and memory trade-offs.
    
- Demonstrable career progression.
    
- Ability to engage reliably for at least 40 hours/week during weekdays.
    
- Strong written communication skills and the ability to explain complex technical decisions clearly.
    

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and engage highly skilled professionals for contingent and contract-based opportunities. Working directly or through local employer-of-record partners, Cincinnatus handles the employment or contracting relationship, payroll, benefits where applicable, and compliance in each country, while placing professionals directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

MLOps Engineer, LLM Performance (Kernels, Profiling, Serving)

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.**

# 1\. Overview

A leading AI lab is building generative video models that aim for theatrical-grade finishing: consistent color across shots, accurate skin tones, multi-shot pacing, clean scene cuts and HDR-ready deliverables. We're looking for experienced colorists, finishing and online editors, narrative editors and post-production specialists to help define what excellent finishing looks like, and to judge where the models get it right or wrong. This is a full-time role of approximately 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- **Set the quality bar:** Define clear standards for color consistency, skin tones, multi-shot pacing, scene cuts and HDR preparation, critique current evaluations, and help build a taxonomy of the ways generated footage fails.
- **Curate benchmarks:** Identify, grade, edit and curate strong examples of excellent and genuinely hard color grades and multi-shot edits, and test early model capabilities against them.
- **Critique model outputs:** Review generated sequences and write precise, actionable notes on color shifts, contrast, banding and compression, and editorial rhythm.
- **Shape the reviewer pool and captions:** Help define how human reviewers are vetted and calibrated, and review captioning guidelines so color and editorial detail is described accurately.
- **Collaborate with other experts** to keep evaluations consistent and accurate.

# 3\. Core Qualifications

- 7+ years of professional experience in post-production, color grading and editorial finishing.
- Credits on 2+ professional films.
- A background in at least one of: Senior Digital Intermediate (DI) or Finishing Colorist (Resolve or Baselight, shot matching, HDR and Dolby Vision); Finishing or Online Editor (conform, color pipelines, mastering deliverables); Lead Narrative Film or Television Editor; or Post-Production Supervisor or Color Science and Pipeline Specialist (ACES, Rec.709, Rec.2020, P3).
- A meticulous eye for color shifts, skin tones, contrast, banding and compression, and editorial rhythm.
- Hands-on use of generative tools to create and finish test visual samples.
- Nice to have: reliable access to a color-accurate 4K/HDR display for pixel-level review.
- Ability to engage reliably for approximately 40 hours/week during weekdays.
- Strong written communication and the ability to turn color and editorial detail into precise language for captions and evaluation templates.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Colorist & Finishing Editor

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.**

# 1\. Overview

A leading AI lab is building generative video models that aim for feature-quality visual effects and preproduction: micro detail, physically plausible simulation, clean multi-layer integration, previs and concept art, carried into a new output. We're looking for experienced VFX and compositing supervisors, FX and CG specialists, previs supervisors and concept artists to help define what excellent VFX work looks like, and to judge where the models get it right or wrong. This is a full-time role of approximately 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- **Set the quality bar:** Define clear standards and an artifact taxonomy for micro detail, multi-layer integration, physics, previs and concept art, and critique current evaluations.
- **Curate benchmarks:** Identify, generate and curate strong examples of excellent and genuinely hard VFX, simulation, previs and concept work, and test early model capabilities against them.
- **Critique model outputs:** Review generated footage frame by frame and write precise, actionable notes on temporal instability, compositing seams, spill, physics and fine detail.
- **Shape the reviewer pool and captions:** Help define how human reviewers are vetted and calibrated, and review captioning guidelines so VFX, physics and preproduction detail is described accurately.
- **Collaborate with other experts** to keep evaluations consistent and accurate.

# 3\. Core Qualifications

- 7+ years of professional experience in feature VFX, animation or virtual production.
- Credits on 2+ professional films.
- A background in at least one of: VFX Supervisor, Compositing Supervisor or Lead Nuke or Flame Compositor; FX Technical Director or CG Supervisor (fluids, pyro, cloth, hair); Previs or Postvis Supervisor; or Senior Concept Artist, Matte Painter or Visual Development Artist.
- A meticulous eye for temporal instability, compositing seams, spill, physics and micro detail.
- Hands-on use of generative tools to create concept art, previs and test samples for comparison.
- Nice to have: reliable access to a 4K display for pixel-level review.
- Ability to engage reliably for approximately 40 hours/week during weekdays.
- Strong written communication and the ability to turn VFX, physics and preproduction detail into precise language for captions and evaluation templates.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

VFX & Compositing Supervisor

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.**

# 1\. Overview

A leading AI lab is building generative video models that aim to capture human performance and staging faithfully: acting realism, blocking, screen direction, eyelines, continuity and emotional nuance, carried into a new output. We're looking for experienced directors, assistant directors, animation supervisors and performance specialists to help define what a convincing, well staged performance looks like, and to judge where the models get it right or wrong. This is a full-time role of approximately 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- **Set the quality bar:** Define clear standards for acting realism, blocking, screen direction (the 180-degree rule and eyelines) and continuity, critique current evaluations, and help build a taxonomy of the ways generated performances fail.
- **Curate benchmarks:** Identify, generate and curate strong examples of excellent and genuinely hard dramatic performances and staging, and test early model capabilities against them.
- **Critique model outputs:** Review generated scenes the way you would in dailies, and write precise, actionable notes on performance, staging and continuity.
- **Shape the reviewer pool and captions:** Help define how human reviewers are vetted and calibrated, and review captioning guidelines so performance and directing nuance is described accurately.
- **Collaborate with other experts** to keep evaluations consistent and accurate.

# 3\. Core Qualifications

- 7+ years of professional experience in film, television, theater or animation.
- Credits on 2+ professional films.
- A background in at least one of: Film or Television Director or 1st Assistant Director; Animation Director or Character Animation Supervisor; Script Supervisor; or Performance Capture Director, Acting Teacher or Coach (film or theater).
- A meticulous eye for micro expressions, emotional beats, eyelines, continuity and staging.
- Hands-on use of generative image and video tools (e.g., Runway, Midjourney, Sora, Kling) to create your own samples for testing and comparison.
- Nice to have: reliable access to a 4K display for pixel-level review.
- Ability to engage reliably for approximately 40 hours/week during weekdays.
- Strong written communication and the ability to turn acting, blocking and directing detail into precise language for captions and evaluation templates.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Performance & Directing Supervisor

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.**

# 1\. Overview

A leading AI lab is building generative video models that aim to capture true cinematic fidelity: lens choices, sensor behavior, camera motion, motivated lighting, exposure and color, carried faithfully into a new output. We're looking for experienced cinematographers and camera and lighting specialists to help define what excellent camera and lighting work looks like, and to judge where the models get it right or wrong. This is a full-time role of approximately 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- **Set the quality bar:** Define clear standards for optics, sensor behavior, camera motion, lighting motivation and exposure, critique current evaluations, and help build a taxonomy of the ways generated footage fails.
- **Curate benchmarks:** Identify, generate and curate strong examples of excellent and genuinely hard camera and lighting setups, and test early model capabilities against them.
- **Critique model outputs:** Review generated footage shot by shot and write precise, actionable notes on lensing, movement, lighting and exposure.
- **Shape the reviewer pool and captions:** Help define how human reviewers are vetted and calibrated, and review captioning guidelines so optical and lighting detail is described accurately.
- **Collaborate with other experts** to keep evaluations consistent and accurate.

# 3\. Core Qualifications

- 7+ years of professional experience in film, television or virtual production.
- Credits on 2+ professional films.
- A background in at least one of: Director of Photography / Cinematographer (film, TV or commercial); Gaffer / Chief Lighting Technician; Camera Operator, 1st AC or Digital Imaging Technician (DIT); or Virtual Production / CG Lighting & Camera Layout Supervisor.
- A meticulous eye for lens optics, sensor behavior, motivated lighting, exposure and color spaces.
- Hands-on use of generative image and video tools (e.g., Runway, Midjourney, Sora, Kling) to create your own samples for testing and comparison.
- Nice to have: reliable access to a calibrated 4K display for pixel-level review.
- Ability to engage reliably for approximately 40 hours/week during weekdays.
- Strong written communication and the ability to turn optical and lighting detail into precise language for captions and evaluation templates.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Cinematographer

# **About the Role**

We're hiring Writers on a contract basis for Project Sisyphus, a PII anonymization program. You work through business documents and structured records (CRM exports, email, tickets, chat logs, accounting data), deciding what is and isn't personal information, catching anything that was missed, and grouping related entities so the same person or organization is handled consistently. Reviewers check your work before it ships.

**We are working to build a lasting team.** This is an internal project that will run long into the future, and we want writers we can build lasting teams and structures around. Strong writers are the pool we promote reviewers from.

# What You'll Do

- Confirm, reject, add and correctly type PII across tasks that contain dozens to hundreds of individual decisions
    
- Group related entities (people, organizations, contact details) into the right clusters
    
- Find personal information that automated detection missed, and avoid tagging things that aren't personal
    
- Apply guidelines that are updated several times a week, using the version in force on the day you work
    
- Act on reviewer feedback quickly, and apply it across your other tasks rather than fixing one instance
    
- Work asynchronously with a distributed team, and raise ambiguous cases in the project channel rather than guessing
    

# What We're Looking For

- Able to commit 30+ hours per week, with this as your main project
    
- Prior experience with AI data work (labelling, rating AI responses, or QA/review of AI outputs)
    
- A sharp eye for detail across long, repetitive material, and the patience to double-check your own work
    
- A track record in detail-heavy work such as operations, accounting, editing, design, compliance or account management
    
- Comfort with rules that change frequently, and a habit of checking the current guideline before relying on memory
    
- Takes feedback well and adjusts quickly
    
- Ability to work entirely without AI assistance on task data
    
- Excellent written English; reliable internet and a quiet, focused workspace (US-based preferred)
    

# Nice to Have

- Familiarity with PII, privacy or data-protection concepts (what counts as an identifier, direct versus indirect identification)
    
- Experience with medical record de-identification, copy-editing or paralegal work
    
- Experience reading structured business data such as CRM, ticketing, email or accounting exports
    

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

[LONG PROJECT] Anonymization Writer

Mercor is seeking experienced **Clinical Research and Survey Methodology Experts** to support the development and refinement of physician-focused healthcare market research surveys. The ideal candidate combines **deep clinical expertise in specific diseases or therapeutic areas** with **hands-on experience in healthcare market research, survey design, and questionnaire development**. You will help ensure that surveys administered to healthcare professionals are clinically accurate, scientifically credible, appropriately structured, and relevant to real-world clinical practice. This is an opportunity for an ongoing collaboration across multiple therapeutic areas and research initiatives over the coming months.

## Key Responsibilities

- Design, develop, and refine physician-facing surveys across various diseases and therapeutic areas.
    
- Review survey questions for clinical accuracy, medical relevance, clarity, and appropriateness for the intended physician audience.
    
- Translate complex clinical concepts and research objectives into well-structured, unbiased survey questions.
    
- Apply established market research methodologies to improve questionnaire design, response options, survey flow, and data quality.
    
- Evaluate surveys for clinical terminology, treatment pathways, diagnostic criteria, patient management practices, and therapeutic relevance.
    
- Collaborate with research teams to incorporate feedback and maintain consistency across survey projects.
    
- Provide expert recommendations to improve survey validity, physician engagement, and overall research quality.
    

## Required Qualifications

- **Advanced clinical or scientific degree:** MD, DO, PhD, PharmD, or equivalent qualification in medicine, clinical research, or a closely related discipline.
    
- **Clinical expertise:** Strong understanding of specific diseases, therapeutic areas, treatment guidelines, and real-world clinical decision-making.
    
- **Healthcare market research experience:** Demonstrated experience designing, writing, reviewing, or validating healthcare professional (HCP) surveys.
    
- **Survey methodology:** Familiarity with questionnaire design, survey logic, response scales, question bias, and research best practices.
    
- Experience working with pharmaceutical companies, healthcare market research agencies, life sciences consulting firms, or clinical research organisations.
    
- Strong written communication skills and the ability to translate complex medical information into clear, actionable survey questions.
    

## Preferred Qualifications

- 3+ years of experience in healthcare market research, clinical survey development, or related research activities.
    
- Previous experience developing surveys targeting physicians, specialists, or other healthcare professionals.
    
- Familiarity with platforms such as Qualtrics, Forsta, Decipher, Alchemer, or SurveyMonkey.
    
- Experience in therapeutic-area-specific market research, including treatment journeys, prescribing behaviour, clinical decision-making, and unmet medical needs.
    
- Experience supporting multiple research studies across different disease areas.
    

## Why Join Mercor?

- **Ongoing Collaboration:** Opportunity to participate in multiple healthcare research projects over the coming months.
    
- **Apply Your Expertise:** Combine your clinical knowledge and research methodology experience to improve the quality of physician-focused surveys.
    
- **Meaningful Research:** Contribute to projects that help healthcare and life sciences organisations better understand clinical practices and physician perspectives.

Clinical Survey Research & Methodology Expert (Physician / PhD)

**This is a full-time internal role at Mercor, open to candidates based in India only.** You will work directly as part of Mercor's team.

## About the role

Mercor is looking for a Customer Experience Operations specialist to own how experts experience our platform end to end. You will be required to get things done by coordinating several owners across Engineering, Operations, Product and Talent Success, and making sure problems that cross teams actually get fixed.

## What you'll do

- Own cross-functional workstreams that affect the expert experience, from onboarding and support to payments and project matching
    
- Coordinate several owners across Engineering, Operations and other teams: set priorities, run check-ins, unblock work and hold people to deadlines
    
- Spot expert friction in feedback, support tickets and data, then turn it into clear, prioritized asks with respective teams across timezones
    
- Build and run lightweight processes, dashboards and playbooks that keep work moving without heavy overhead
    
- Use AI tools every day to automate repetitive work, summarize feedback, draft processes and speed up sprint cycles
    
- Report progress and risks clearly to product managers & leadership
    

## Who you are

- An operator who gets things done: you have founded or run a startup, or held a high-ownership operations, product ops or chief-of-staff style role
    
- Comfortable leading through influence and coordinating engineers, operators and other stakeholders without formal authority
    
- Fluent with AI tools (Claude, agents, automation tools) and keen to find new ways to use them
    
- Organized and structured, with sound judgment on what matters most
    
- A clear, concise writer and communicator
    
- Comfortable with ambiguity and a fast-moving startup environment
    

## Nice to have

- Experience with marketplaces, gig or contractor platforms, or customer or talent experience functions
    
- Comfort with data: SQL, spreadsheets or BI tools
    
- Experience building internal tools or workflows with no-code or AI tooling

Customer Experience Operations (India)

### Role Overview:

Mercor is looking for computer power users and automation builders with 2-3 years of relevant experience, or currently enrolled postgrad students, to support a research project with a leading AI lab. You will work through real productivity and automation workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Deep familiarity with macOS and its apps, keyboard-driven workflows, and system settings
    
- Experience building automations with tools such as Shortcuts, Automator, AppleScript, Keyboard Maestro, Raycast, Alfred, Zapier, Make, or shell scripting
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your reasoning while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real multi-app productivity and automation tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Computer Power Users & Automation Builders (Must own MacBook)

### Role Overview:

Mercor is looking for STEM researchers who hold or are currently pursuing an MSc or PhD to support a research project with a leading AI lab. You will work through real research workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Currently pursuing or have completed an MSc or PhD in a STEM field (e.g., physics, chemistry, biology, mathematics, computer science, engineering)
    
- Hands-on research experience with tools such as Python/Jupyter, MATLAB, R, LaTeX, reference managers, or lab/data analysis software
    
- Strong online research skills and ability to gather and clearly summarize information from diverse sources
    
- Ability to clearly explain your reasoning while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real research tasks (literature review, data analysis, modeling, technical writing) on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

STEM Researchers - MSc/PhD (Must own MacBook)

### Role Overview:

Mercor is looking for industrial and manufacturing engineers with 2-3 years of professional experience, or currently enrolled postgrad engineering students, to support a research project with a leading AI lab. You will work through real process, operations, and production engineering workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Degree in Industrial, Manufacturing, or Systems Engineering, or a related field
    
- Experience with process design, lean/Six Sigma, production planning, quality control, or supply chain analysis using spreadsheets, CAD, process-mapping, or statistical tools
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your engineering decisions while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real industrial and manufacturing engineering tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Industrial & Manufacturing Engineers (Must own MacBook)

### Role Overview:

Mercor is looking for civil engineers and architects with 2-3 years of professional experience, or currently enrolled postgrad students in civil engineering or architecture, to support a research project with a leading AI lab. You will work through real design and drafting workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Degree in Civil Engineering, Architecture, or a related field
    
- Proficiency in Mac-compatible tools such as AutoCAD for Mac, ArchiCAD, Vectorworks, SketchUp, or Rhino; experience with structural, site, or building design is a plus
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your design decisions while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real civil engineering and architectural tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Civil Engineers & Architects (Must own MacBook)

### Role Overview:

Mercor is looking for mechanical and CAD engineers with 2-3 years of professional experience, or currently enrolled postgrad engineering students, to support a research project with a leading AI lab. You will work through real engineering design workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Degree in Mechanical Engineering or a related field, with hands-on 3D modeling and drafting experience
    
- Proficiency in Mac-compatible CAD tools such as Fusion 360, Onshape, Shapr3D, or FreeCAD; familiarity with GD&T and engineering drawings is a plus
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your engineering decisions while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real mechanical design and CAD tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Mechanical & CAD Engineers (Must own MacBook)

### Role Overview:

Mercor is looking for 3D artists and video editors with 2-3 years of professional or freelance experience, or currently enrolled postgrad students in film, animation, or digital media, to support a research project with a leading AI lab. You will work through real 3D and video production workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Proficiency in tools such as Blender, Cinema 4D, Maya, Final Cut Pro, Premiere Pro, DaVinci Resolve, or After Effects
    
- Experience with modeling, texturing, animation, editing, color grading, or motion graphics; a reel or portfolio is a plus
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your creative decisions while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real 3D and video editing tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

3D Artists & Video Editors (Must own MacBook)

### Role Overview:

Mercor is looking for UI/UX designers with 2-3 years of professional experience, or currently enrolled postgrad HCI/design students, to support a research project with a leading AI lab. You will work through real product design workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Proficiency in tools such as Figma, Sketch, Framer, or Adobe XD
    
- Experience designing web or mobile interfaces, wireframes, prototypes, and design systems; familiarity with user research and usability testing is a plus
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your design decisions while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real UI/UX design tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

UI/UX Designers (Must own MacBook)

### Role Overview:

Mercor is looking for graphic designers with 2-3 years of professional or freelance experience, or currently enrolled postgrad design students, to support a research project with a leading AI lab. You will work through real design workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Proficiency in design tools such as Adobe Photoshop, Illustrator, InDesign, Affinity, or Canva
    
- Experience with branding, layout, typography, and visual communication; a portfolio is a plus
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your creative decisions while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real graphic design tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Graphic Designers (Must own MacBook)

### Role Overview:

Mercor is looking for data analysts and spreadsheet specialists with 2-3 years of experience, or currently enrolled postgrad students in a quantitative field, to support a research project with a leading AI lab. You will work through real data analysis workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Advanced proficiency in Excel, Numbers, and/or Google Sheets (pivot tables, lookups, charts, data cleaning, financial or operational models)
    
- Experience with SQL, Python/R, or BI tools (e.g., Tableau, Power BI) is a plus
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your reasoning while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real data analysis and spreadsheet tasks on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Data Analysts & Spreadsheet Specialists (Must own MacBook)

### Role Overview:

Mercor is looking for software developers with 2-3 years of professional coding experience, or currently enrolled postgrad Computer Science students, to support a research project with a leading AI lab. You will work through real development workflows on your own Mac to help benchmark and improve cutting-edge AI models.

### Qualifications:

- **Required: You must own a MacBook or Mac with an Apple M-series chip or Intel processor, running macOS 15 or higher. Applicants without a Mac cannot be considered.**
    
- Hands-on experience with one or more programming languages (e.g., Python, JavaScript/TypeScript, Swift, Java, Go)
    
- Comfortable with everyday developer tools on macOS such as VS Code, Xcode, Terminal, Git, and package managers
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Ability to clearly explain your reasoning while you work
    
- Excellent written and verbal communication skills
    

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include completing and narrating real software development tasks (building, debugging, refactoring, reviewing code) on your Mac to create high-quality training data for advanced AI models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (3-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Software Developers (Must own MacBook)

We're looking for everyday users of Meta Muse or Instinct who have used the app for at least 2 weeks. Each week you'll keep using the assistant across different parts of your life (at least 3, e.g. work, health, errands, social), then log and rate the proactive messages it sends you. You'll also export your weekly conversations with personal details removed. This is an ongoing study with the same group of raters each week.

AI Assistant User – Weekly Feedback Study

**Join a leading AI lab's cutting-edge research team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.**

# 1\. Overview

Join a leading AI lab's cutting-edge research team and help shape how its next generation of video models is judged. We're seeking film, theater and visual effects professionals who understand how a shot is built, from lighting and grade to framing, camera movement, continuity, texture and performance, to compare AI-generated video side by side and explain which result holds up to a professional eye. This work is ongoing, with new rounds as new models are released.

This is a W-2 employment position with Cincinnatus LLC (or appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- Evaluate pairs of AI-generated videos made from the same prompt and choose the stronger result on specific craft axes: lighting and grade, framing and composition, camera and lens direction, texture and physical realism, shot continuity, and acting and dialogue delivery.
- Write short, precise reasons for each judgment that name what worked and what broke, in the language a supervisor would use in dailies.
- Check each video against its prompt, including whether the requested camera move, lens, framing or performance was actually delivered.
- Take part in calibration rounds with other raters so judgments stay consistent across the pool, and flag prompts or guidelines that are unclear.
- Collaborate with other subject matter experts to ensure consistency and accuracy in evaluation data.

# 3\. Core Qualifications

- Professional or graduate experience in at least one of the following: film or theater (including current graduate students), character animation focused on human performance, character technical direction, acting coaching or teaching, directing (especially crowd and background action), assistant directing, compositing, lighting, texture or surfacing, render wrangling, color or digital imaging (assistant colorist or DIT), camera department (1st AC or camera operator), editing, or display and AV quality assurance.
- Either training at a respected film, theater or animation program plus 2+ years of practical experience, or 4+ years of practical experience including at least two projects with a theatrical release.
- A trained eye for detail on screen and the ability to put it into clear, specific words.
- Fluency in English. Proficiency in a second dubbing language (French, Italian, German, Spanish, Portuguese, Korean or Hindi) is a strong plus.
- Access to a good quality display and headphones for reviewing video and dialogue.
- Ability to engage reliably for at least 20 hours/week during weekdays.
- Strong written communication skills and the ability to explain creative judgments clearly.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Film & Video Craft Expert (Camera, VFX, Editing & Performance)

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.**

# 1\. Overview

A leading AI lab is building a performance transfer model: one that takes an actor's original performance and carries it faithfully into a new output, keeping the timing, the emotion and the small physical choices that make it feel real. We're looking for senior character animators who have spent their careers bringing acting to life on feature films, VFX and games, to help define what a well transferred performance looks like and judge where the model gets it right or wrong.

This is a part-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- **Set the quality bar:** Define clear standards for when a performance has been carried over well, in body mechanics, facial nuance, timing and emotional intent, and point out where current evaluations fall short.
    
- **Critique model outputs:** Review generated performances shot by shot, the way you would in dailies, and write precise, actionable notes.
    
- **Build benchmarks:** Choose reference performances that range from easy to genuinely hard to capture, so the model is tested on what matters.
    
- **Shape the reviewer pool:** Help define the profile, rubric and calibration for the human reviewers who score outputs at scale.
    
- **Collaborate with other experts** to keep evaluations consistent and accurate.
    

# 3\. Core Qualifications

- 10+ years as a hands-on character animator focused on human and character acting, at Senior, Lead or Principal level.
    
- Animator credits on several feature films, VFX features or AAA game cinematics at recognized studios (e.g., Sony Pictures Imageworks, ILM, Animal Logic, Laika, Pixar, Disney, DreamWorks, Framestore, MPC, DNEG, Weta FX).
    
- A sharp eye for micro expressions, lip sync, weight and timing, and the small acting choices that make a performance feel authentic.
    
- Strongly preferred: facial animation experience, and recent work in real-time engines (Unreal or Unity), VR/XR, or performance capture pipelines.
    
- Hands-on use of generative image and video tools (e.g., Sora, Veo, Midjourney, Runway, Kling) to create your own samples for testing and comparison.
    
- Able to work on-site in Playa Vista (Los Angeles), CA or New York, NY for in-person working sessions once or twice a month.
    
- Strong written communication and the ability to turn visual detail into clear, precise language for evaluation templates.
    

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Senior Character Animator

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.**

# 1\. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Electrical Engineers with deep, hands-on industry experience in circuit design, power systems, or embedded hardware to bring real engineering judgment and elevate the quality of our AI training data. This is a full-time commitment of 40 hours per week for an initial engagement of 3 to 4 months, with a strong possibility of extension.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

**Location:** Remote within the United States; San Francisco Bay Area-based candidates strongly preferred.

# 2\. Key Responsibilities

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in electrical engineering, including circuit analysis and design, power systems and power electronics, and embedded and control systems.
- Design challenging, domain-relevant tasks, and write accurate and well-structured reference solutions to electrical engineering problems.
- Evaluate electrical engineering tasks and model outputs and provide clear, written technical feedback, catching incorrect assumptions, unit and sign errors, violated design constraints, and unsafe design choices.
- Develop guidelines and detailed rubrics to assess the quality of reasoning across areas such as analog and mixed-signal design, RF, PCB and board-level design, power distribution, signal processing, and controls.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

# 3\. Core Qualifications

- Bachelor's degree or higher in Electrical Engineering, Electrical and Computer Engineering, or a closely related engineering discipline.
- 5+ years of hands-on professional electrical engineering experience in industry, for example in semiconductors, consumer electronics, power and utilities, aerospace and defense, automotive and EV, robotics, telecommunications, or medical devices.
- Genuine ownership of real engineering work, for example designing and bringing up circuits or boards, running circuit simulations, specifying power systems, or taking hardware through design reviews, validation, and production.
- Working fluency with common tools (for example SPICE/LTspice, Cadence, Altium, KiCad, MATLAB/Simulink, or ETAP) and familiarity with relevant codes and standards (for example IEEE, NEC, IPC, or UL).
- Demonstrable career progression toward senior or lead engineering responsibility. A Professional Engineer (PE) license is a plus but not required.
- Hands-on working use of large language models in professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
- Ability to engage reliably for at least 40 hours/week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Electrical Engineer

Mercor is hiring **physicians (MD) with pediatric emergency department or pediatric urgent care experience** on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you will apply your pediatric acute-care expertise to **review, annotate, and evaluate clinical documentation**, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.

## Key Responsibilities

**Clinical Documentation Review**

- Review pediatric emergency and urgent care documentation and patient charts for accuracy, completeness, and clinical soundness
    
- Evaluate AI-generated clinical summaries against what a practicing pediatric acute-care physician would expect to see
    

**Annotation & Structured Feedback**

- Annotate clinical encounter data against detailed guidelines
    
- Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output
    
- Provide structured, written feedback that engineering and product teams can act on
    

**Knowledge Contribution**

- Contribute expert input on annotation guidelines and edge-case definitions
    
- Raise clarifying questions where guidance is ambiguous and help refine the guidelines
    

## Required Qualifications

- **MD** with a background in **pediatric emergency medicine or pediatric urgent care**
    
- **US-based**
    
- Available for a **minimum of 10 hours/week** through mid-November
    

## Preferred Qualifications

- Prior **AI/ML annotation or model evaluation** experience (with positive performance reviews)
    

## Work Arrangement

- Remote, part-time
    
- Flexible scheduling, designed around an active clinical practice

Pediatric Emergency / Urgent Care Physician (MD)

We're looking for experienced HR professionals who are native or fluent in Mandarin Chinese to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
    
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
    
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
    
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.
    

**Requirements:**

- Experience in HR (business partnering, employee relations, compensation or talent)
    
- Native or fluent in Mandarin Chinese
    
- Bachelor's degree from a recognized institution in mainland China
    
- Knowledge of the PRC Labor Contract Law, the social insurance and housing fund system, and Chinese payroll practice
    

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Human Resources Expert, Mandarin Chinese (mainland China)

We're looking for experienced scientists and engineers who are native or fluent in Mandarin Chinese to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience as a scientist or engineer in research or industry (master's or PhD a plus)
- Native or fluent in Mandarin Chinese
- Bachelor's degree from a recognized institution in mainland China
- Comfortable with quantitative analysis, technical documentation and data-heavy problem solving

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

STEM Expert, Mandarin Chinese (mainland China)

We're looking for experienced physicians who are native or fluent in Mandarin Chinese to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
    
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
    
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
    
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.
    

**Requirements:**

- Experience in clinical practice
    
- Native or fluent in Mandarin Chinese
    
- Bachelor's degree from a recognized institution in mainland China
    
- Holds the PRC Medical Practitioner Qualification Certificate, familiar with Chinese clinical guidelines and hospital practice
    

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Medical Expert, Mandarin Chinese (mainland China)

We're looking for experienced lawyers who are native or fluent in Mandarin Chinese to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
    
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
    
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
    
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.
    

**Requirements:**

- Experience in legal practice
    
- Native or fluent in Mandarin Chinese
    
- Bachelor's degree from a recognized institution in mainland China
    
- Passed the PRC National Unified Legal Professional Qualification Exam, with deep knowledge of the PRC Civil Code and company, contract or employment law
    

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Legal Expert, Mandarin Chinese (mainland China)

We're looking for experienced management and strategy consultants who are native or fluent in Mandarin Chinese to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
    
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
    
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
    
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.
    

**Requirements:**

- Experience in management or strategy consulting
    
- Native or fluent in Mandarin Chinese
    
- Bachelor's degree from a recognized institution in mainland China
    
- Experience with market entry, operations and growth strategy work for companies operating in China
    

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Consulting Expert, Mandarin Chinese (mainland China)

We're looking for experienced finance professionals who are native or fluent in Mandarin Chinese to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
    
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
    
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
    
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.
    

**Requirements:**

- Experience in corporate finance, banking, investment or audit
    
- Native or fluent in Mandarin Chinese
    
- Bachelor's degree from a recognized institution in mainland China
    
- Strong knowledge of Chinese financial practice (Chinese Accounting Standards, CSRC regulation, A-share markets, Chinese tax filings)
    

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Finance Expert, Mandarin Chinese (mainland China)

We're looking for experienced HR professionals who are native or fluent in German to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in HR (business partnering, employee relations, compensation or talent)
- Native or fluent in German
- Bachelor's degree from a recognized institution in Germany
- Knowledge of German labor law, works councils (BetrVG), Tarifverträge and German payroll and social insurance

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Human Resources Expert, German (Germany)

We're looking for experienced scientists and engineers who are native or fluent in German to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience as a scientist or engineer in research or industry (master's or PhD a plus)
- Native or fluent in German
- Bachelor's degree from a recognized institution in Germany
- Comfortable with quantitative analysis, technical documentation and engineering problem solving

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

STEM Expert, German (Germany)

We're looking for experienced physicians who are native or fluent in German to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in clinical practice
- Native or fluent in German
- Bachelor's degree from a recognized institution in Germany
- Licensed physician in Germany (Approbation), ideally Facharzt, familiar with AWMF guidelines and GKV practice

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Medical Expert, German (Germany)

We're looking for experienced lawyers who are native or fluent in German to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in legal practice
- Native or fluent in German
- Bachelor's degree from a recognized institution in Germany
- Fully qualified German lawyer (Volljurist) with deep knowledge of BGB, HGB, GmbHG and German court procedure

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Legal Expert, German (Germany)

We're looking for experienced management and strategy consultants who are native or fluent in German to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in management or strategy consulting
- Native or fluent in German
- Bachelor's degree from a recognized institution in Germany
- Experience with strategy, operations and restructuring work for clients in Germany / DACH, incl. Mittelstand and industrial clients

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Consulting Expert, German (Germany)

We're looking for experienced finance professionals who are native or fluent in German to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in corporate finance, banking, investment or audit
- Native or fluent in German
- Bachelor's degree from a recognized institution in Germany
- Strong knowledge of German financial practice (HGB / IFRS, BaFin regulation, German tax rules)

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Finance Expert, German (Germany)

We're looking for experienced HR professionals who are native or fluent in Spanish to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in HR (business partnering, employee relations, compensation or talent)
- Native or fluent in Spanish
- Bachelor's degree from a recognized institution in Spain
- Knowledge of the Estatuto de los Trabajadores, collective agreements, Social Security and Spanish payroll

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Human Resources Expert, Spanish (Spain)

We're looking for experienced scientists and engineers who are native or fluent in Spanish to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience as a scientist or engineer in research or industry (master's or PhD a plus)
- Native or fluent in Spanish
- Bachelor's degree from a recognized institution in Spain
- Comfortable with quantitative analysis, technical documentation and data-heavy problem solving

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

STEM Expert, Spanish (Spain)

We're looking for experienced physicians who are native or fluent in Spanish to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in clinical practice
- Native or fluent in Spanish
- Bachelor's degree from a recognized institution in Spain
- Licensed physician in Spain (colegiado), typically after MIR residency, familiar with SNS protocols and Spanish clinical guidelines

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Medical Expert, Spanish (Spain)

We're looking for experienced lawyers who are native or fluent in Spanish to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in legal practice
- Native or fluent in Spanish
- Bachelor's degree from a recognized institution in Spain
- Practicing in Spain, ideally a member of a Spanish bar association (colegiado), with deep knowledge of Spanish civil, commercial or employment law

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Legal Expert, Spanish (Spain)

We're looking for experienced management and strategy consultants who are native or fluent in Spanish to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in management or strategy consulting
- Native or fluent in Spanish
- Bachelor's degree from a recognized institution in Spain
- Experience with strategy, operations and transformation work for clients in Spain

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Consulting Expert, Spanish (Spain)

We're looking for experienced finance professionals who are native or fluent in Spanish to help train and evaluate AI agents on realistic professional tasks.

**What you'll do:**

You'll work in realistic digital workspaces, with documents, spreadsheets, email, chat and industry tools, to create and review the kinds of tasks you handle in your own job. Your work will include:

- Building workspaces: reviewing files, memos and records a real team would have for a project or case.
- Writing tasks: drafting realistic requests in your language that a colleague or client might send, grounded in local practice, regulations and terminology.
- Defining what good looks like: writing clear grading criteria and checking whether an AI agent's work would meet your professional standard.
- Reviewing AI work: going through an agent's step-by-step work, spotting mistakes such as wrong calculations, missed details or incorrect local rules, and correcting them.

**Requirements:**

- Experience in corporate finance, banking, investment or audit
- Native or fluent in Spanish
- Bachelor's degree from a recognized institution in Spain
- Strong knowledge of Spanish financial practice (PGC / IFRS, CNMV regulation, Spanish tax filings)

Details: Remote, about 21 hours per week, hourly, pilot running Oct 23 to Nov 19.

Finance Expert, Spanish (Spain)

**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.**

# 1\. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Program Leads with deep, hands-on experience running AI training data, human data and model evaluation programs to lead large pools of domain experts day to day, turn research inputs into clear guidelines, and elevate the quality and throughput of our AI training data. This is a full-time commitment of 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

# 2\. Key Responsibilities

- Lead and coordinate a large pool of domain experts day to day, including onboarding new experts, running calls and weekly reviews, and keeping work moving against deadlines and quality bars.
    
- Guide research and product partners to close gaps between program goals and expert output, translating research and leadership inputs into clear, actionable guidelines and task instructions.
    
- Track deliverables, throughput and quality metrics in spreadsheets such as Sheets or Excel, and report program status clearly to stakeholders.
    
- Evaluate expert submissions and quality trends, identify root causes of quality issues, and provide clear, written feedback that raises the bar across the team.
    
- Flag risks and blockers early, propose fixes, and drive them to resolution with research, product and operations partners.
    
- Collaborate with research and product partners and other subject matter experts to ensure consistency and accuracy in training data.
    

# 3\. Core Qualifications

- Experience as an Expert Program Manager (EPM), program lead or team lead on AI training data, human data or model evaluation projects, at Mercor or at another AI training or data company (e.g., Scale AI, Surge, Micro1, Turing, Outlier, Appen, TELUS, or an internal AI data operations team at a large technology company).
    
- 3+ years of experience leading or coordinating large contributor or expert teams against deadlines and quality bars.
    
- Demonstrable career progression (e.g., Expert Contributor to Reviewer to Team Lead to Program Lead or Expert Program Manager).
    
- Ability to engage reliably for at least 40 hours/week during weekdays.
    
- Strong written communication skills and the ability to explain complex guidelines and quality decisions clearly.
    

**Preferred Qualifications:**

- Prior experience on Mercor projects.
    
- A degree in a STEM field.
    
- Advanced spreadsheet skills (Sheets or Excel), working knowledge of SQL, and some coding experience.
    
- People leadership experience, including managing large groups of contributors or experts.
    

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Program Lead

**Overview**
We're looking for audio engineers with strong experience editing and quality-checking **voice recordings for speech and text-to-speech (TTS) applications**, specifically for **Brazilian Portuguese-language audio**. This role focuses on preparing high-quality audio datasets for machine learning systems, ensuring clarity, consistency, and technical compliance across large volumes of Brazilian Portuguese speech data. **Native or near-native Brazilian Portuguese fluency is required** to accurately assess speech quality, pronunciation, and naturalness.

* * *

## **What You'll Do**

- Edit and process **Brazilian Portuguese voice recordings** for use in TTS and speech AI systems
    
- Perform **audio cleanup** including silence trimming, breath reduction/removal, de-clicking, de-essing, and noise reduction
    
- Conduct detailed **quality assurance checks** for:
    
    - Clipping and distortion
        
    - Background noise and artifacts
        
    - Loudness consistency and level balancing
        
- Ensure audio meets **strict technical specifications** for ML training pipelines
    
- Evaluate recordings for **Brazilian Portuguese pronunciation accuracy, naturalness, and fluency**
    
- Work with large batches of recordings, maintaining **consistency and throughput**
    
- Collaborate with teams working on **Brazilian Portuguese speech datasets, voice talent recordings, and model training workflows**
    

* * *

## **Basic Qualifications**

- **Native or near-native Brazilian Portuguese speaker** with strong listening intuition for Brazilian Portuguese speech nuances
    
- Experience editing **speech or voice recordings** (not just music production)
    
- Strong understanding of **speech audio quality standards** and common issues in recorded dialogue
    
- Hands-on experience with tools like **iZotope RX, Pro Tools, or similar audio restoration software**
    
- Ability to identify and fix **artifacts, inconsistencies, and technical defects** in audio
    
- Experience working with **high-volume audio datasets or structured workflows**
    

* * *

## **Preferred Qualifications**

- Experience working with **TTS vendors or platforms**
    
- Prior involvement in **speech ML, voice AI, or dataset creation/annotation workflows**
    
- Familiarity with **audio QA pipelines, labeling, or evaluation processes**
    
- Experience directing or editing **Brazilian Portuguese voice talent recordings**
    

* * *

## **Ideal Candidate Profile**

- Detail-oriented with strong **critical listening skills in Brazilian Portuguese**
    
- Comfortable working with **repetitive, high-precision tasks at scale**
    
- Able to balance **speed and quality** in production environments
    
- Familiar with the nuances of **human Brazilian Portuguese speech vs synthetic voice requirements**

Audio Engineer (Speech / TTS Audio Specialist) – Brazilian Portuguese

Mercor is recruiting Atomistic Materials Modelling Experts with strong backgrounds in computational materials science, quantum mechanical simulations, and molecular modelling to support advanced AI research. Experts will evaluate technically demanding problems involving atomistic simulations, materials properties, computational methodologies, and scientific reasoning. The ideal candidate has extensive hands-on experience with density functional theory (DFT), molecular dynamics (MD), and other atomistic modelling techniques, alongside a strong understanding of the underlying physical principles.

### Key Responsibilities

- Evaluate advanced scientific problems involving atomistic simulations and computational materials science.
    
- Review and validate AI-generated answers involving DFT calculations, molecular dynamics, and materials property predictions.
    
- Assess the appropriateness of computational methods, simulation parameters, convergence criteria, and physical assumptions.
    
- Analyse atomic structures, electronic properties, reaction energetics, diffusion mechanisms, and materials stability.
    
- Evaluate surface and interface phenomena, adsorption energies, defect formation, and chemical reaction pathways.
    
- Develop high-quality reference solutions, evaluation rubrics, and technically rigorous scientific explanations.
    
- Identify computational inaccuracies, methodological limitations, and errors in scientific reasoning.
    
- Apply computational expertise to improve AI performance on complex materials science problems.
    

### Required Qualifications

- PhD in Computational Materials Science, Materials Science and Engineering, Computational Chemistry, Condensed Matter Physics, Chemical Engineering, or a closely related field. Exceptional MSc candidates with substantial relevant experience may be considered.
    
- Demonstrated hands-on experience with at least one of the following:
    
    - Density Functional Theory (DFT)
        
    - Ab initio Molecular Dynamics (AIMD)
        
    - Classical Molecular Dynamics (MD)
        
    - Monte Carlo simulations
        
    - Atomistic or first-principles materials modelling
        
- Proficiency with one or more computational tools, such as VASP, Quantum ESPRESSO, CP2K, GPAW, LAMMPS, or similar software.
    
- Strong understanding of electronic structure, interatomic interactions, thermodynamics, statistical mechanics, and materials properties.
    
- Experience interpreting simulation results and validating computational predictions.
    
- Strong Python skills for scientific computing, data analysis, or workflow automation.
    

### Preferred Qualifications

- Experience with ASE, pymatgen, or computational materials workflow tools.
    
- Expertise in surface and interface modelling, heterogeneous catalysis, semiconductor materials, or reaction energetics.
    
- Experience with high-throughput computational materials screening.
    
- Familiarity with machine-learned interatomic potentials and AI-assisted materials discovery.
    
- Peer-reviewed publications demonstrating computational materials research.
    
- Experience integrating experimental materials characterisation with atomistic simulations.
    

### Engagement Details

- Commitment: Minimum 10 hours per week, with potential for up to 40 hours per week.
    

### Why Join Mercor?

- Apply advanced computational expertise to frontier AI research.
    
- Help develop AI systems capable of understanding and solving sophisticated materials science problems.
    
- Work on challenging scientific evaluations involving quantum mechanics, atomistic simulations, and materials discovery.
    
- Collaborate with teams working at the intersection of AI and scientific research.

Atomistic Materials Modeling Expert

Mercor is hiring experienced Medical Practitioners (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab.

You will assess model outputs across diagnosis, clinical reasoning, and care workflows.

Key Responsibilities

\- Evaluate AI model outputs for clinical accuracy, safety, and alignment with medical standards

\- Score diagnoses, case reasoning, and care recommendations against expert judgment

\- Write structured feedback on clarity, safety, and clinical rigor

\- Flag failure modes that compromise patient safety

\- Collaborate asynchronously with AI researchers to improve model performance

Required Qualifications

\- **MD or DO** from an accredited medical school

\- Active, unrestricted US medical license

\- Residency complete

\- **Currently practicing** and seeing patients

\- 3+ years of post-residency experience in your current role strongly preferred

\- Practice in primary care, internal medicine, and hospital-based specialties (Primary Care, General Internal Medicine, Family Medicine, Emergency Medicine, Critical Care)

\- Sharp attention to detail and clear written communication

\- Located in the US

Project Timeline

\- Start Date: Immediate

\- Duration: 6 weeks

\- Commitment: Part-time, 20+ hours per week

Application & Onboarding

\- Upload your resume and application form

\- Complete a 25-minute conversational interview on your background, experience, and motivations

\- Credential verification: license status, residency completion, and current practice setting

\- Final roster placement is confirmed with the project team before your start date

\- Receive next steps and onboarding details within a few days

Apply today and put your clinical expertise to work shaping the health models clinicians and patients will rely on.

General Physician

**Mercor** connects exceptional technical talent with leading organisations working on ambitious technology and AI initiatives. We are looking for experienced **Infrastructure / Site Reliability Engineers (SREs)** to join a full-time engagement focused on building and operating complex, enterprise-grade infrastructure. We are seeking engineers with strong hands-on experience building, operating, debugging, and scaling sophisticated production systems. The ideal candidate has worked extensively with **Kubernetes, AWS, observability platforms such as Datadog, and modern infrastructure tooling**.

This is a **full-time opportunity**, and candidates must be able to commit to full-time engagement.

## What You'll Do

- Build, operate, and improve highly available and scalable production infrastructure.
    
- Manage and optimise **Kubernetes-based production environments**.
    
- Design and maintain cloud infrastructure, primarily across **AWS**.
    
- Improve system reliability, availability, scalability, and operational efficiency.
    
- Build and maintain observability across infrastructure and applications using **Datadog** or similar platforms.
    
- Investigate production incidents, perform root-cause analysis, and implement durable fixes.
    
- Improve monitoring, alerting, logging, tracing, and overall production visibility.
    
- Develop automation and internal tooling to reduce manual operational work.
    
- Partner closely with software engineering teams on deployments, infrastructure, and production reliability.
    
- Contribute to infrastructure architecture and technical decisions for complex distributed systems.
    

## Ideal Background

- Professional experience in **Infrastructure Engineering, Site Reliability Engineering (SRE), Platform Engineering, DevOps, or Production Engineering**.
    
- Hands-on experience operating **complex, enterprise-grade production systems**.
    
- Strong production experience with **Kubernetes**.
    
- Strong experience with **AWS** and cloud-native infrastructure.
    
- Experience with **Datadog**, Prometheus, Grafana, or comparable observability platforms.
    
- Experience with Infrastructure as Code using **Terraform, Pulumi, or equivalent technologies**.
    
- Strong understanding of distributed systems, networking, containers, Linux, and cloud architecture.
    
- Experience building or maintaining CI/CD and production deployment infrastructure.
    
- Strong debugging, troubleshooting, and incident-response capabilities.
    
- Proficiency in at least one programming or scripting language, such as **Python, Go, or Bash**.
    

## Strong Signals

- Experience operating Kubernetes and cloud infrastructure at significant production scale.
    
- Experience supporting high-traffic or mission-critical applications.
    
- Experience building infrastructure or platform tooling used by large engineering organisations.
    
- Ownership of production reliability, on-call operations, incident response, or capacity planning.
    
- Experience working within sophisticated, large-scale distributed systems.
    
- Demonstrated improvements to **SLOs/SLIs, observability, deployment reliability, infrastructure performance, or operational efficiency**.
    

### Why Join

- Solve challenging reliability, scalability, and performance problems across enterprise-grade production systems.
    
- Work extensively with technologies such as **Kubernetes, AWS, Datadog, Terraform/Pulumi**, and modern cloud-native tooling.
    
- Take meaningful ownership of production reliability, observability, infrastructure architecture, and operational improvements.
    
- Competitive hourly compensation reflecting your experience and technical expertise.
    
- Join a network of highly skilled engineers working on ambitious projects with leading technology and AI organisations.

Infrastructure / Site Reliability Engineer (SRE)

**About the Role**

Mercor is hiring experienced **Property, Real Estate, and Community Association Managers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated property management content and workflows, leveraging your real-world expertise in operating and maintaining residential, commercial, and industrial properties and managing community associations.

**Key Responsibilities**

- Evaluate AI-generated property operating budgets, lease analyses, maintenance plans, association governance documents, and other property management artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on financial soundness, regulatory and lease compliance, and operational feasibility.
    
- Review scenarios involving tenant and owner relations, rent collection, vendor contracts, capital improvements, and association board matters and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Property Manager, Real Estate Manager, Community Association Manager, HOA Manager, Leasing Manager, or another closely related property or association management role.
    
- Experience planning, directing, or coordinating the leasing, operation, maintenance, or governance of residential, commercial, or industrial real estate properties or community associations.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

- Start date: Immediate
    
- Duration: Approximately 4–6 weeks
    
- Payment: task-based (payment upon first task approval). Experts who complete their first task within the required timeline will then be qualified to be paid hourly for the remainder of the project.

Property, Real Estate, and Community Association Managers

**About the Role**

Mercor is hiring experienced **Administrative Services Managers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated administrative operations content and workflows, leveraging your real-world expertise in planning, directing, and coordinating an organization's supportive services, such as facilities, records management, procurement, and office operations.

**Key Responsibilities**

- Evaluate AI-generated office operations plans, facilities and vendor management documents, records-management procedures, and other administrative artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on operational soundness, policy compliance, and cost-effectiveness.
    
- Review administrative scenarios involving budgeting, procurement, space planning, support-services staffing, and process improvement and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as an Administrative Services Manager, Office Manager, Facilities Manager, Administrative Director, Business Operations Manager, or another closely related administrative management role.
    
- Experience planning, directing, or coordinating an organization's supportive services, such as recordkeeping, mail distribution, facilities planning and maintenance, procurement, and other office support services.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

- Start date: Immediate
    
- Duration: Approximately 4–6 weeks
    
- Payment: task-based (payment upon first task approval). Experts who complete their first task within the required timeline will then be qualified to be paid hourly for the remainder of the project.

Administrative Services Managers

**About the Role**

Mercor is hiring experienced **Private Detectives and Investigators** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated investigative content and workflows, leveraging your real-world expertise in gathering, analyzing, and reporting facts on legal, financial, and personal matters.

**Key Responsibilities**

- Evaluate AI-generated investigation plans, background research summaries, surveillance reports, and other investigative artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on investigative rigor, legal and ethical compliance, and soundness of conclusions.
    
- Review investigative scenarios involving evidence gathering, source verification, records research, and case reporting and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Private Investigator, Private Detective, Licensed Investigator, Fraud Investigator, Insurance Investigator, or another closely related investigative role.
    
- Experience gathering, analyzing, and compiling information on legal, financial, or personal matters, including background checks, surveillance, interviews, and records research, for clients, attorneys, or businesses.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

- Start date: Immediate
    
- Duration: Approximately 4–6 weeks
    
- Payment: task-based (payment upon first task approval). Experts who complete their first task within the required timeline will then be qualified to be paid hourly for the remainder of the project.

Private Detectives and Investigators

Applications close Friday, October 16, 2026 at 12:00 p.m. Pacific. We are selecting the first three applicants who qualify for the initial pilot.

## About the work

Build real-world tasks that test how well AI agents handle database engineering. Depending on your specialty, your task may cover database-engine implementation, production diagnosis, or application migration.

Each task should include a clear problem statement, a reproducible repository or environment, a working reference solution, tests, and grading criteria that distinguish a robust engineering solution from one that only appears correct.

## What you'll do

- Design one challenging, self-contained database engineering task.
    
- Build checks for correctness, failure handling, concurrency, retries, and regressions where relevant.
    
- Evaluate performance measures such as latency, throughput, and memory use.
    
- Write clear grading criteria for engineering judgment.
    
- Work with technical reviewers to refine and validate the task.
    

## Who we're looking for

- At least **five years** of hands-on database-engine internals experience, or a **database-systems PhD.**
    
- Deep experience with storage engines, query execution, optimization, transactions, replication, or related low-latency systems.
    
- Strong implementation skills and clear explanations of correctness and performance tradeoffs.
    
- Experience with Go is preferred.
    

DBA, SQL analytics, ETL, or application-only database experience does not qualify on its own. You do not need to specialize in every task area.

## Application process

Complete a self-paced technical assessment with written responses and a coding exercise. You control when to advance between sections. (~35 min)

Use a laptop or desktop with a camera, microphone, and entire-screen sharing. Have your own editor and terminal ready, along with Python 3.8+ and a compiler for C, C++, Rust, Go, or Java. The assessment includes a starter kit and public tests. Complete the assessment independently, without outside AI assistance.

Please apply as soon as possible. We will select the first three qualifying applicants. If the pilot fills, completed assessments may be considered for future work if the project expands.

## Paid task after selection

Selected experts will complete one task, with approximately 25 hours of work, followed by technical review and feedback.

Task deadline: Friday, October 30, 2026.

Database Systems Evaluation Expert

**Help a leading AI lab ensure its models respond to people with care, balance and sound judgment.**

# 1\. Overview

A leading AI lab is seeking behavioral health experts to help evaluate and improve how its AI models handle sensitive, everyday conversations. People increasingly turn to AI for support with relationships, family dynamics, emotional wellbeing, personal beliefs and difficult life decisions. These conversations rarely involve crisis content, but they are exactly where a model's judgment matters most: whether it stays balanced, avoids taking sides, resists telling people what they want to hear, respects a person's beliefs without endorsing or dismissing them, and understands the limits of its role. You'll review these interactions, assess whether the model's responses are appropriate, neutral and safe, and help the lab's researchers define what good looks like. If you bring professional experience in mental health, counseling, social work or behavioral science, and you can articulate clearly why one response serves a person better than another, this role is for you. This is a part-time commitment of at least 20 hours per week, with the option to increase to up to 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce.

# 2\. Key Responsibilities

- Evaluate conversations between users and AI models across topics such as relationship and family advice, emotional wellbeing, spiritual and metaphysical questions, and unconventional or unfounded beliefs, and assess whether responses are neutral, appropriate and safe.

- Identify patterns of concern, including excessive agreement, taking sides, reinforcing distorted or unfounded beliefs, moralizing, or overstepping into clinical or directive advice, and document them with clear written rationale.

- Develop rubrics, guidelines and reference responses that define a balanced, supportive and appropriately bounded reply, grounded in established practice from counseling and behavioral health.

- Design test scenarios and conversations that probe how models handle sensitive but non crisis topics.

- Collaborate with the lab's researchers and fellow experts to keep evaluation standards consistent, calibrated and well documented.

# 3\. Core Qualifications

- A degree in psychology, counseling, social work, behavioral health, behavioral science, human services or a closely related field, or equivalent professional experience in the mental health field.

- 3+ years of professional experience supporting people in a mental health, counseling or social services setting, for example as a therapist, counselor, clinical social worker, psychologist, psychiatric nurse, case manager, crisis counselor, peer support specialist or mental health advocate. Clinical licensure (for example LMFT, LCSW, LPC, LMHC, PsyD or PhD) is valued but not required.

- Demonstrated ability to remain neutral and nonjudgmental across diverse perspectives, relationships, belief systems and worldviews, and to explain the reasoning behind a professional judgment.

- Working familiarity with concepts such as sycophancy, cognitive distortions, healthy boundaries and client centered approaches such as motivational interviewing.

- Ability to engage reliably for at least 20 hours/week during weekdays.

- Strong written communication skills and the ability to deliver precise, well structured written feedback.

**Nice to have:** a background in AI safety, applied ethics, trust and safety or content policy; experience in couples, family or relationship counseling; familiarity with spiritual care, religious or alternative belief communities, or the psychology of misinformation and conspiracy belief; prior experience evaluating, annotating or red teaming AI systems. You don't need all of these to apply.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Behavioral Health Expert, AI Safety and Model Evaluation

**Help a leading AI lab teach its models to write real, machine-checked mathematics in Lean.**

# 1\. Overview

A leading AI lab is looking for Lean engineers, formal mathematicians and proof engineers to help its AI models state and prove mathematics correctly. You'll write and review Lean 4 proofs, turn informal math into precise formal statements, and help the lab's researchers judge whether a model's proof is not just accepted by the checker but actually proves the right thing. If you enjoy writing Lean, know your way around mathlib, and can explain why a formalization is faithful or subtly wrong, this role is for you. This is a part-time commitment of at least 20 hours per week, with the option to increase to up to 40 hours per week.

This is a W-2 employment position with Cincinnatus LLC (or appropriate international entity), with the opportunity to be placed at a leading AI lab as part of their extended workforce.

# 2\. Key Responsibilities

- Write correct, idiomatic Lean 4 statements and proofs that compile against current mathlib, across areas such as algebra, analysis, number theory, combinatorics and logic.
    
- Formalize natural-language mathematics, from competition problems and textbook results to research-level lemmas, paying close attention to whether the formal statement matches the original.
    
- Review AI-generated Lean statements and proofs, find where they fail or prove the wrong thing, and give clear, specific written feedback.
    
- Help define guidelines and rubrics for proof quality, statement fidelity and mathlib conventions.
    
- Collaborate with other Lean engineers and the lab's researchers to keep standards consistent and keep raising the quality bar.
    

# 3\. Core Qualifications

- Hands-on experience writing formal proofs in Lean 4, for example mathlib contributions, a formalization project, a Lean library or tool, or autoformalization work.
    
- Comfort with mathlib and Lean 4 tactics, and with finding and using the right lemmas.
    
- A strong background in proof-based mathematics, theoretical computer science or logic, through a degree or a research record.
    
- The ability to turn a written statement and proof into a correct formal statement and a proof that checks.
    
- Ability to engage reliably for at least 20 hours/week during weekdays.
    
- Clear written communication and the ability to explain proof strategy and formalization choices precisely.
    

**Nice to have:** experience with other proof assistants or dependently typed languages (Coq/Rocq, Isabelle, Agda, Haskell), Lean metaprogramming, or AI-for-math work such as LLM provers, Lean agent environments, or benchmarks like miniF2F, ProofNet or PutnamBench. You don't need all of these to apply.

**About Cincinnatus LLC:**
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

**Equal Employment Opportunity:**
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Lean Engineer, Formal Mathematics (Lean 4, Mathlib, Theorem Proving)

Mercor is seeking **Clinical Mental Health Experts** to support an AI research initiative focused on evaluating the realism and quality of simulated clinical conversations. This is a **short-term, fully remote evaluation task** designed for mental health professionals who can apply their clinical experience and professional judgment to assess realistic conversational scenarios. **The task will take up to 30 minutes to complete.**

## What You’ll Do

- Review pairs of simulated conversations involving clinical mental health scenarios.
    
- Evaluate the conversations based on their **realism and authenticity**.
    
- Determine which conversation more closely reflects a realistic clinical interaction.
    
- Apply your clinical experience and professional judgment when making evaluations.
    
- Complete the evaluation independently through an online interface.
    

## Ideal Background

We welcome professionals with a **relevant degree and clinical mental health expertise**. Suitable backgrounds may include:

- Clinical Psychology
    
- Counselling Psychology
    
- Mental Health Counselling
    
- Clinical Social Work
    
- Psychiatry
    
- Psychotherapy
    
- Behavioural Health
    
- Marriage and Family Therapy
    
- Other closely related clinical mental health disciplines
    

**Candidates should have:**

- A relevant degree or professional qualification in a mental health-related field.
    
- Practical experience working in a clinical mental health or behavioural health setting.
    
- Familiarity with real-world conversations between mental health professionals and patients or clients.
    
- Strong professional judgment and the ability to identify whether clinical interactions feel realistic and authentic.
    
- Strong attention to detail and the ability to make independent qualitative assessments.
    

## Why Join

- Apply your clinical expertise to the evaluation of advanced AI systems.
    
- Contribute to research aimed at improving the realism and quality of AI-generated interactions.
    
- Be considered for future AI evaluation and research opportunities requiring clinical mental health expertise.

Clinical Mental Health Expert — AI Conversation Evaluation

We are looking for experienced **U.S.-based Pharmacists and Pharmacy Technicians** to support an AI-focused healthcare project. This opportunity is ideal for pharmacy professionals with strong familiarity with prescription medications, generic and brand drug names, and standard U.S. medication terminology.

### What You’ll Do

- Review short audio samples containing spoken medication names.
    
- Evaluate whether medication names are pronounced accurately and clearly.
    
- Score audio samples using a structured evaluation rubric.
    
- Identify pronunciation errors, ambiguities, or inconsistencies.
    
- Apply evaluation standards consistently across review tasks.
    
- Participate in an initial calibration exercise to align on scoring expectations.
    
- Complete additional review batches as project needs arise.
    
- Provide concise feedback where clarification or correction is required.
    

### Ideal Background

- Licensed **Pharmacist (PharmD/RPh)** or experienced **Pharmacy Technician**.
    
- Professional pharmacy experience in the **United States**.
    
- Strong familiarity with generic and brand-name medications commonly encountered in U.S. pharmacy practice.
    
- Comfortable recognising and assessing medication terminology when spoken aloud.
    
- High attention to detail and ability to distinguish subtle pronunciation differences.
    
- Able to follow detailed rubrics and apply scoring criteria consistently.
    
- Strong written and spoken **U.S. English** proficiency.
    
- Experience in retail, hospital, speciality, mail-order, or other pharmacy settings is welcome.
    

### Preferred Qualifications

- Several years of hands-on pharmacy experience.
    
- Regular experience communicating medication names verbally with patients, pharmacists, physicians, or other healthcare professionals.
    
- Familiarity with a broad range of therapeutic areas and medication classes.
    
- Experience with quality assurance, annotation, clinical review, transcription review, or structured evaluation work is helpful but not required.
    

### Why Join

- Apply your pharmacy expertise to the development and evaluation of advanced AI systems.
    
- Contribute specialised healthcare knowledge without providing direct patient care.
    
- Opportunity to participate in additional projects as new review work becomes available.

Pharmacist / Pharmacy Technician — Medication Pronunciation Reviewer

Mercor is conducting a paid research study in collaboration with a leading AI research lab focused on improving healthcare. We are seeking **physicians specializing in Neurology in the United States who treat adult patients with migraine** to take part in a short online survey.

## Responsibilities

Participants will be asked to:

- Complete a structured ~30-minute online survey

- Share perspectives on how you treat and manage adult patients with migraine

- Submit all responses within the given timeline

## Requirements

- **18 years of age or older**

- **MD or DO physician specializing in Neurology**

- **Currently licensed and providing patient care in the United States**

- Have **personally prescribed or renewed treatment for adult migraine patients in the past 3 months**

- Able to independently complete a ~30-minute online survey in English

## Engagement Details

- **Format:** Online survey (no voice-recorded responses)

- **Duration:** Approximately 30 minutes

- **Language:** English

- **Compensation:** One-time payment upon successful verification of the submission

- **Location:** Remote (United States)

## Why Participate

- Contribute to research shaping the next generation of healthcare AI tools

- Share your real-world clinical expertise treating patients with migraine

Neurologists (MD/DO) – Paid Research Study (Migraine)

Mercor is conducting a paid research study in collaboration with a leading AI research lab focused on improving healthcare. We are seeking **board-certified urologists and medical oncologists in the United States who manage patients with metastatic prostate cancer** to take part in a short online survey about treatment decision-making.

## Responsibilities

Participants will be asked to:

- Complete a structured ~30-minute online survey

- Share perspectives on how you evaluate and select systemic treatments for patients with prostate cancer

- Submit all responses within the given timeline

## Requirements

- **Urologist or medical oncologist** with an **MD or DO**

- **Board certified** in your specialty

- Hold an **active, unrestricted US medical license** and practice primarily in the **United States**

- Spend **at least 25% of your professional time in direct patient care**

- Have cared for **prostate-cancer patients in the past 12 months**, including at least one patient with **metastatic hormone-sensitive (mHSPC) or castration-resistant (mCRPC) prostate cancer**

- **Regularly manage metastatic prostate cancer**, with primary or shared responsibility for selecting systemic treatment

- Able to independently complete a ~30-minute online survey

Please note: this study is not open to anyone who has taken part in prostate-cancer market research in the past 3 months, or who (or whose immediate family) works for a pharmaceutical, diagnostics, market research, or advertising company, a wholesaler, or a specialty pharmacy.

## Engagement Details

- **Format:** Online survey

- **Duration:** Approximately 30 minutes

- **Compensation:** One-time payment upon successful verification of the submission

- **Location:** Remote (United States)

## Why Participate

- Contribute to research shaping the next generation of healthcare AI tools

- Share your real-world clinical expertise in managing advanced prostate cancer

Urologists & Medical Oncologists (Prostate Cancer) – Paid Research Study

**Mercor is seeking experienced Systems & Integration Engineers** to support an advanced engineering and AI research initiative with a leading technology organization. We are looking for deeply hands-on engineers who have integrated, tested, validated, debugged, qualified, or analyzed complex real-world hardware and electromechanical systems in production environments.

Relevant backgrounds include:

- **Systems Engineering**
    
- **Integration & Test Engineering**
    
- **Reliability / Failure Analysis Engineering**
    
- **Manufacturing Test Engineering**
    

This role is particularly well suited for engineers who have worked directly on complex physical products and can bring practical engineering judgment to system integration, verification and validation, reliability, root-cause analysis, manufacturing test, and cross-functional hardware troubleshooting.

### Key Responsibilities

- Apply hands-on systems, integration, reliability, and test engineering expertise to technically complex problems involving real physical products and hardware systems.
    
- Review and evaluate **system requirements, interfaces, integration plans, verification strategies, test procedures, qualification approaches, reliability analyses, and manufacturing test workflows**.
    
- Analyze system-level interactions across **electrical, mechanical, firmware/software, thermal, controls, and manufacturing domains**.
    
- Assess the technical correctness and practical feasibility of engineering solutions, test strategies, troubleshooting approaches, and system-level decisions.
    
- Diagnose integration failures and identify **root causes, interface issues, design deficiencies, reliability risks, manufacturing defects, and test coverage gaps**.
    
- Develop or review technically rigorous engineering problems, reference solutions, test cases, verification criteria, failure analyses, and technical documentation.
    
- Draw on practical experience with **prototype integration, bring-up, verification and validation, qualification, environmental testing, reliability testing, production test, and field failure investigation**.
    
- Provide clear technical feedback grounded in real-world hardware development, testing, and production experience.
    

### You’re a Strong Fit If You Have

- **5+ years of professional systems, integration, reliability, or test engineering experience**, including at least **3 years of recent, actively hands-on experience** with hardware integration, test, validation, qualification, failure analysis, manufacturing test, or troubleshooting—not solely program or people management.
    
- Demonstrated experience as the **responsible engineer for complex physical systems or hardware products**, owning meaningful portions of the lifecycle from requirements and interface definition through integration, verification, qualification, production readiness, and field support.
    
- Deep technical expertise in at least one core domain: **systems engineering and requirements/V&V; hardware integration and test; reliability engineering and failure analysis; or manufacturing/production test engineering**.
    
- Strong practical command of **requirements traceability, interface management, verification and validation, test planning, FMEA/FMECA, fault isolation, root-cause analysis, reliability, qualification, environmental testing, design-for-test, manufacturing yield, and system-level failure modes**, as applicable to the candidate's specialization.
    
- Extensive hands-on experience **integrating, instrumenting, testing, debugging, and characterizing physical hardware**, using relevant laboratory equipment, data-acquisition systems, automated test infrastructure, environmental test equipment, diagnostic tools, and structured failure-analysis methodologies.
    
- Proven experience developing and validating hardware in **real-world product or manufacturing environments**, ideally across aerospace/defense, space, automotive/EV, semiconductors, consumer electronics, robotics/eVTOL, industrial/energy, or medical devices—e.g., **Lockheed Martin, RTX, Boeing, Blue Origin, Rocket Lab, Tesla, Rivian, NVIDIA, Qualcomm, Intel, Apple, Google, Meta, Skydio, Shield AI, Joby, Boston Dynamics, Siemens, GE Aerospace, ABB, Medtronic, or Intuitive Surgical**—with the ability to clearly explain system decisions, integration trade-offs, test results, root causes, and failure mechanisms.
    

### Preferred Background

Experience working for a company that **designs, builds, integrates, tests, and manufactures complex physical hardware systems** is strongly preferred. Relevant organizations may include, but are not limited to:

- **Aerospace & Defense:**
    Lockheed Martin, Northrop Grumman, RTX, Boeing, General Atomics, L3Harris, BAE Systems, General Dynamics, Honeywell Aerospace, Textron
    
- **Space:**
    Blue Origin, Rocket Lab, Relativity Space, Firefly Aerospace, Sierra Space, Astranis, Planet, Maxar, Axiom Space
    
- **Automotive & EV:**
    Tesla, Rivian, General Motors, Ford, Lucid, Waymo, Zoox, Aptiv, Bosch
    
- **Semiconductors:**
    NVIDIA, Qualcomm, Intel, Analog Devices, Texas Instruments, Broadcom, Marvell, Micron, NXP, Infineon
    
- **Consumer Electronics & Computing:**
    Apple, Google Hardware, Meta Reality Labs, Microsoft Devices, Amazon, Samsung, Garmin, Sonos
    
- **Drones, eVTOL & Robotics:**
    Skydio, Shield AI, Zipline, Joby Aviation, Archer Aviation, Boston Dynamics, Figure, Agility Robotics, Wing
    
- **Industrial, Energy & Medical Devices:**
    Siemens, GE Aerospace, GE Vernova, ABB, Schneider Electric, Rockwell Automation, Enphase, Medtronic, Intuitive Surgical
    

Candidates from comparable hardware-focused organizations are equally encouraged to apply.

### Why Join

- Apply your systems and integration expertise to technically challenging problems at the intersection of **advanced hardware engineering and AI research**.
    
- Work on projects where practical experience with **real hardware integration, verification, reliability, failure analysis, and production testing** is highly valued.
    
- Help improve how advanced AI systems reason about **complex systems, interfaces, verification and validation, troubleshooting, reliability, manufacturing, and hardware failures**.
    
- Contribute remotely with flexible engagement structures alongside experienced engineers and researchers.
    
- Work on problems requiring genuine engineering judgment and hands-on industry experience rather than purely theoretical systems knowledge.

Systems & Integration Engineering Experts

**Mercor is seeking experienced Software and Firmware Engineers** to support an advanced engineering and AI research initiative with a leading technology organization. We are looking for deeply hands-on engineers who have designed, implemented, integrated, tested, debugged, or validated software and firmware that directly interfaces with real-world hardware systems.

Relevant backgrounds include:

- **Embedded Firmware Engineering**
    
- **FPGA / RTL Engineering**
    
- **Flight Software Engineering**
    
- **Hardware Test Automation Engineering**
    

This role is particularly well suited for engineers who have worked directly on complex physical products and can bring practical engineering judgment to evaluating embedded systems, firmware, digital hardware, flight software, hardware-in-the-loop testing, and real-world debugging workflows.

### Key Responsibilities

- Apply hands-on software, firmware, and digital hardware expertise to technically complex engineering tasks involving real physical systems.
    
- Review and evaluate **embedded firmware, FPGA/RTL designs, flight software, test automation frameworks, hardware interfaces, and system-level engineering workflows**.
    
- Analyze architecture and implementation trade-offs involving **real-time performance, timing, memory, compute resources, interfaces, reliability, fault handling, concurrency, and hardware/software integration**.
    
- Assess the technical correctness, robustness, and practical feasibility of engineering solutions for real-world embedded and hardware-connected systems.
    
- Identify implementation errors, incorrect assumptions, race conditions, timing issues, interface failures, resource constraints, and other system-level failure modes.
    
- Develop or review technically rigorous engineering problems, reference implementations, test cases, evaluation criteria, and supporting technical documentation.
    
- Draw on practical experience with **development, integration, hardware bring-up, debugging, verification, validation, test automation, and deployment**.
    
- Provide clear technical feedback grounded in real-world engineering experience and production hardware constraints.
    

### You’re a Strong Fit If You Have

- **5+ years of professional software, firmware, FPGA, or embedded systems engineering experience**, including at least **3 years of recent, actively hands-on experience** developing, integrating, testing, bringing up, or troubleshooting software/firmware on real hardware—not solely program or people management.
    
- Demonstrated experience as the **responsible engineer for production hardware-connected software or firmware**, owning meaningful portions of the lifecycle from requirements and architecture through implementation, integration, hardware bring-up, verification, validation, debugging, and deployment.
    
- Deep technical expertise in at least one core domain: **embedded firmware and real-time systems; FPGA/RTL design and verification; flight software and safety/mission-critical systems; or hardware test automation and hardware-in-the-loop infrastructure**.
    
- Strong practical command of relevant technologies such as **C/C++, Python, RTOS/bare-metal development, device drivers, bootloaders, embedded Linux, SPI/I²C/UART/CAN/Ethernet, Verilog/SystemVerilog/VHDL, FPGA toolchains, hardware interfaces, telemetry, and automated test systems**, as applicable to the candidate's specialization.
    
- Extensive hands-on experience **debugging software-hardware interactions and physical systems** using tools such as JTAG/SWD debuggers, logic analyzers, oscilloscopes, hardware simulators/emulators, HIL/SIL environments, automated test equipment, CI infrastructure, and structured root-cause analysis.
    
- Proven experience developing systems in **real-world product or hardware manufacturing environments**, ideally across aerospace/defense, space, automotive/EV, semiconductors, consumer electronics, robotics/eVTOL, industrial/energy, or medical devices—e.g., **Lockheed Martin, RTX, Boeing, Blue Origin, Rocket Lab, SpaceX, Tesla, Rivian, NVIDIA, Qualcomm, Intel, AMD, Apple, Google, Meta, Amazon, Skydio, Shield AI, Joby, Boston Dynamics, Siemens, ABB, Medtronic, or Intuitive Surgical**—with the ability to clearly explain architectural decisions, implementation trade-offs, test results, and failure mechanisms.
    

### Preferred Background

Experience working for a company that **designs, builds, tests, and manufactures physical hardware or embedded systems** is strongly preferred. Relevant organizations may include, but are not limited to:

- **Aerospace & Defense:**
    Lockheed Martin, Northrop Grumman, RTX, Boeing, General Atomics, L3Harris, BAE Systems, General Dynamics, Honeywell Aerospace, Textron
    
- **Space:**
    Blue Origin, Rocket Lab, Relativity Space, Firefly Aerospace, Sierra Space, Astranis, Planet, Maxar, Axiom Space
    
- **Automotive & EV:**
    Tesla, Rivian, General Motors, Ford, Lucid, Waymo, Zoox, Aptiv, Bosch
    
- **Semiconductors:**
    NVIDIA, Qualcomm, Intel, Analog Devices, Texas Instruments, Broadcom, Marvell, Micron, NXP, Infineon
    
- **Consumer Electronics & Computing:**
    Apple, Google Hardware, Meta Reality Labs, Microsoft Devices, Amazon, Samsung, Garmin, Sonos
    
- **Drones, eVTOL & Robotics:**
    Skydio, Shield AI, Zipline, Joby Aviation, Archer Aviation, Boston Dynamics, Figure, Agility Robotics, Wing
    
- **Industrial, Energy & Medical Devices:**
    Siemens, GE Aerospace, GE Vernova, ABB, Schneider Electric, Rockwell Automation, Enphase, Medtronic, Intuitive Surgical
    

Candidates from comparable hardware-focused organizations are equally encouraged to apply.

### Why Join

- Apply your software and firmware expertise to technically challenging problems at the intersection of **advanced hardware systems and AI research**.
    
- Work on projects where practical experience with **real hardware, embedded systems, FPGA/RTL, flight software, and test infrastructure** is highly valued.
    
- Help improve how advanced AI systems reason about **embedded development, hardware/software integration, digital design, real-time systems, testing, and debugging**.
    
- Contribute remotely with flexible engagement structures alongside experienced engineers and researchers.
    
- Work on problems requiring genuine engineering judgment and production experience rather than purely theoretical software knowledge.

Software & Firmware Engineering Experts

**Mercor is seeking experienced Mechanical Engineers** to support an advanced engineering and AI research initiative with a leading technology organisation. We are looking for deeply hands-on engineers who have designed, analysed, built, tested, validated, or troubleshot real-world mechanical and electromechanical systems in production environments.

Relevant backgrounds include:

- **Structural / Stress Engineering**
    
- **Thermal Engineering**
    
- **Mechanical Design Engineering**
    
- **Dynamics & Controls Engineering**
    

This role is particularly well suited for engineers who have worked directly on complex physical products and can bring practical engineering judgment to evaluating technical designs, analyses, testing workflows, failure modes, and real-world engineering problems.

### Key Responsibilities

- Apply hands-on mechanical engineering expertise to technically complex engineering tasks involving real physical systems and products.
    
- Review and evaluate mechanical designs, engineering analyses, simulation results, test methodologies, and troubleshooting approaches.
    
- Analyse engineering trade-offs involving **structures, materials, thermal performance, mechanical design, dynamics, vibration, controls, reliability, and manufacturability**.
    
- Assess the technical correctness and practical feasibility of engineering solutions generated for real-world mechanical engineering problems.
    
- Identify incorrect assumptions, unrealistic boundary conditions, design deficiencies, failure modes, and potential implementation or reliability risks.
    
- Develop or review technically rigorous engineering problems, reference solutions, evaluation criteria, and supporting technical documentation.
    
- Draw on practical experience with **design, simulation, prototyping, hardware integration, test, validation, qualification, debugging, and manufacturing**.
    
- Provide clear technical feedback grounded in real-world engineering experience and established engineering principles.
    

### You’re a Strong Fit If You Have

- **5+ years of professional mechanical engineering experience**, including at least **3 years of recent, actively hands-on experience** in hardware development, analysis, testing, validation, integration, bring-up, or troubleshooting—not solely program or people management.
    
- Demonstrated experience as the **responsible engineer for real hardware or physical systems**, owning meaningful portions of the engineering lifecycle from requirements and analysis through design, prototype development, testing, validation, qualification, and manufacturing readiness.
    
- Deep technical expertise in at least one core domain: **structural/stress analysis and FEA; thermal analysis, heat transfer, and thermal management; mechanical design and product development; or dynamics, vibration, mechanisms, and controls**.
    
- Strong practical command of **materials, loads and boundary conditions, structural margins, fatigue, thermal constraints, tolerances/GD&T, component selection, reliability, manufacturability, system integration, and engineering failure-mode analysis**.
    
- Extensive hands-on experience **analyzing, testing, debugging, and validating physical hardware**, using relevant engineering tools such as CAD/CAE, FEA, CFD/thermal simulation, dynamic or controls simulation, test instrumentation, data acquisition, and structured root-cause analysis.
    
- Proven experience developing hardware in **real-world product or manufacturing environments**, ideally across aerospace/defense, space, automotive/EV, semiconductors, consumer electronics, robotics/eVTOL, industrial/energy, or medical devices—e.g., **Lockheed Martin, RTX, Boeing, Blue Origin, Rocket Lab, Tesla, Rivian, NVIDIA, Qualcomm, Apple, Google, Meta, Skydio, Shield AI, Joby, Boston Dynamics, Siemens, GE Aerospace, ABB, Medtronic, or Intuitive Surgical**—with the ability to clearly explain technical decisions, design trade-offs, test results, and failure mechanisms.
    

### Preferred Background

Experience working for a company that **designs, builds, tests, and manufactures physical hardware products or systems** is strongly preferred. Relevant organisations may include, but are not limited to:

- **Aerospace & Defense:**
    Lockheed Martin, Northrop Grumman, RTX, Boeing, General Atomics, L3Harris, BAE Systems, General Dynamics, Honeywell Aerospace, Textron
    
- **Space:**
    Blue Origin, Rocket Lab, Relativity Space, Firefly Aerospace, Sierra Space, Astranis, Planet, Maxar, Axiom Space
    
- **Automotive & EV:**
    Tesla, Rivian, General Motors, Ford, Lucid, Waymo, Zoox, Aptiv, Bosch
    
- **Semiconductors:**
    NVIDIA, Qualcomm, Intel, Analog Devices, Texas Instruments, Broadcom, Marvell, Micron, NXP, Infineon
    
- **Consumer Electronics & Computing:**
    Apple, Google Hardware, Meta Reality Labs, Microsoft Devices, Amazon, Samsung, Garmin, Sonos
    
- **Drones, eVTOL & Robotics:**
    Skydio, Shield AI, Zipline, Joby Aviation, Archer Aviation, Boston Dynamics, Figure, Agility Robotics, Wing
    
- **Industrial, Energy & Medical Devices:**
    Siemens, GE Aerospace, GE Vernova, ABB, Schneider Electric, Rockwell Automation, Enphase, Medtronic, Intuitive Surgical
    

Candidates from comparable hardware-focused organisations are equally encouraged to apply.

### Why Join

- Apply your mechanical engineering expertise to technically challenging problems at the intersection of **advanced hardware engineering and AI research**.
    
- Work on projects where practical, real-world engineering experience and first-principles technical judgment are highly valued.
    
- Help improve how advanced AI systems reason about **mechanical design, structural analysis, thermal systems, dynamics, controls, testing, and hardware troubleshooting**.
    
- Contribute remotely with flexible engagement structures alongside experienced engineers and researchers.
    
- Work on problems that require genuine engineering judgment and hands-on industry expertise rather than purely theoretical knowledge.

Mechanical Engineering Experts

**Mercor is seeking experienced Electrical and Hardware Engineers** to support an advanced engineering and AI research initiative with a leading technology organisation. We are looking for deeply hands-on engineers who have designed, built, tested, brought up, debugged, or validated real-world hardware systems in production environments.

Relevant backgrounds include:

- **RF / Antenna Engineering**
    
- **Power Electronics Engineering**
    
- **Analog / Mixed-Signal Engineering**
    
- **Hardware / PCB Design Engineering**
    
- **Signal Integrity Engineering**
    

This role is particularly well suited for engineers who have worked directly on complex physical products and can bring practical engineering judgment to evaluating technical designs, troubleshooting workflows, and real-world hardware problems.

### Key Responsibilities

- Apply hands-on electrical and hardware engineering expertise to technically complex engineering tasks.
    
- Review and evaluate hardware designs, engineering workflows, technical analyses, and troubleshooting approaches.
    
- Analyse design trade-offs, failure modes, measurements, test results, and system-level engineering decisions.
    
- Assess the technical correctness and practicality of engineering solutions generated for real-world hardware problems.
    
- Identify errors, missing assumptions, unrealistic recommendations, and potential design or implementation risks.
    
- Develop or review technically rigorous engineering problems, reference solutions, evaluation criteria, or supporting documentation.
    
- Draw on practical experience with hardware development, validation, bring-up, debugging, manufacturing, and testing.
    
- Provide clear technical feedback grounded in real engineering experience and industry best practices.
    

### You’re a Strong Fit If You Have

- **5+ years of professional industry experience**, including at least **3 years of recent, actively hands-on experience** in hardware development, testing, bring-up, validation, or troubleshooting.
    
- Direct experience serving as the **responsible engineer** for substantial portions of a hardware development or engineering workflow, rather than solely managing engineering teams or projects.
    
- Deep expertise in at least one of the following areas:
    
    - RF systems, antennas, electromagnetic design, or RF validation
        
    - Power electronics, power conversion, motor drives, or power delivery
        
    - Analog or mixed-signal circuit design
        
    - PCB architecture, schematic design, board bring-up, or hardware debugging
        
    - Signal integrity, power integrity, high-speed interfaces, or system-level electrical validation
        
- Strong understanding of practical engineering constraints including component selection, tolerances, measurement, manufacturing, reliability, thermal considerations, and system integration.
    
- Experience debugging real hardware using relevant laboratory equipment, simulation tools, and engineering instrumentation.
    
- Ability to explain technical decisions, trade-offs, and failure modes clearly and rigorously.
    

### Preferred Background

Experience working for a company that **designs and manufactures physical hardware products** is strongly preferred. Relevant organisations may include, but are not limited to:

- **Aerospace & Defence:**
    Lockheed Martin, Northrop Grumman, RTX, Boeing, General Atomics, L3Harris, BAE Systems, General Dynamics, Honeywell Aerospace, Textron
    
- **Space:**
    Blue Origin, Rocket Lab, Relativity Space, Firefly Aerospace, Sierra Space, Astranis, Planet, Maxar, Axiom Space
    
- **Automotive & EV:**
    Tesla, Rivian, General Motors, Ford, Lucid, Waymo, Zoox, Aptiv, Bosch
    
- **Semiconductors:**
    NVIDIA, Qualcomm, Intel, Analogue Devices, Texas Instruments, Broadcom, Marvell, Micron, NXP, Infineon
    
- **Consumer Electronics & Computing:**
    Apple, Google Hardware, Meta Reality Labs, Microsoft Devices, Amazon, Samsung, Garmin, Sonos
    
- **Drones, eVTOL & Robotics:**
    Skydio, Shield AI, Zipline, Joby Aviation, Archer Aviation, Boston Dynamics, Figure, Agility Robotics, Wing
    
- **Industrial, Energy & Medical Devices:**
    Siemens, GE Aerospace, GE Vernova, ABB, Schneider Electric, Rockwell Automation, Enphase, Medtronic, Intuitive Surgical
    

Candidates from comparable hardware-focused organisations are equally encouraged to apply.

### Why Join

- Apply your engineering expertise to technically challenging problems at the intersection of **advanced hardware engineering and AI research**.
    
- Work on projects where practical, real-world engineering experience is highly valued.
    
- Help improve how advanced AI systems reason about electrical engineering, hardware design, testing, and troubleshooting.
    
- Contribute remotely with flexible engagement structures alongside experienced engineers and researchers.
    
- Work on problems that require genuine engineering judgment rather than purely theoretical knowledge.

Electrical & Hardware Engineering Experts

## About the work

**CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is **[arXiv:2509.26574](https://arxiv.org/abs/2509.26574)** and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.

## Research areas in this panel

One area. We match narrowly: you need to have published on this specific phenomenon, not in biophysics broadly.

**1. Stochastic autocatalytic growth: chemical master equation, branching processes:** Autocatalytic reaction cycles, stochastic Hinshelwood cycle, chemical master equation processes, circulant matrix spectra, transient oscillations toward balanced exponential growth, moment hierarchies for reaction networks, generating-function methods.

If you also work on long-range dispersal, heavy-tailed jump processes or front propagation in range expansions, say so on the form. A closely related area sits in our statistical physics panel and draws on the same methods.

## Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating **at least one** of the following families:

- Chemical master equation and the stochastic Hinshelwood cycle
- Multi-type branching processes and circulant matrix spectra
- Moment hierarchies for reaction networks
- Generating-function methods

## Who we are looking for

**A PhD in biophysics, statistical physics, applied mathematics or a closely related field.** This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

**Published work on stochastic growth or reaction-network dynamics specifically.** This is the single most common reason we decline otherwise excellent researchers. Command of the methods is not enough if you have not published on the phenomenon itself.

**A verifiable publication record.** Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.

**Working proficiency with LaTeX, Python, SymPy and Jupyter.** Some familiarity with an agentic coding extension in VS Code is useful. Gaps there are acceptable if you declare them honestly.

**English at B2 or above**, including written reasoning. A large part of the value you add is how clearly you set out your argument.

## Application steps

1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and the area above if you are a fit. Give an arXiv ID or DOI of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
2. **We verify your papers and authorship** against the public record.
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.

## Commitment and rate

**10 hours per week**, sustained across an **8 to 10 week** window, starting immediately. Remote and asynchronous with no fixed hours.

**$80 to $110 per hour**, set by depth of subdomain match.

Stochastic Biophysics Physicist (PhD)

## About the work

**CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is **[arXiv:2509.26574](https://arxiv.org/abs/2509.26574)** and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.

## Research areas in this panel

Two areas, both on the linear stability of buoyancy-driven convection. We match narrowly: you need to have published on convection stability specifically, not on fluid dynamics broadly. Each area lists the methods it requires.

**1. Rayleigh-Benard convection: linear stability with mixed boundary conditions:** Rayleigh-Benard convection, Boussinesq approximation, linear stability analysis, normal-mode perturbation expansion, mixed mechanical and thermal boundary conditions, fixed-flux thermal forcing, marginal stability analysis, spectral eigenvalue methods.

**2. Porous-medium (Rayleigh-Darcy) convection: linear stability:** Darcy's law for porous-medium flow, Rayleigh-Darcy convection, Boussinesq buoyancy approximation, linear stability analysis, constant-flux and open boundary conditions, normal-mode perturbation expansion, marginal stability analysis, buoyancy-driven transport in saturated porous layers.

## Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating **at least one** of the following families:

- Boussinesq approximation and buoyancy-driven flow
- Linear stability analysis and normal-mode perturbation expansion
- Marginal stability analysis and critical Rayleigh number determination
- Spectral eigenvalue methods
- Darcy's law and porous-medium flow

## Who we are looking for

**A PhD in fluid mechanics, applied mathematics, mechanical engineering or a closely related field.** This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

**Published work on convection stability specifically.** This is the single most common reason we decline otherwise excellent researchers. Command of the methods is not enough if you have not published on the phenomenon itself.

**A verifiable publication record.** Three to five representative papers with DOIs or arXiv IDs, ideally from the last five years. First author strongly preferred. A journal DOI is expected here, since much of this literature is not on arXiv. Every paper you list will be checked against the public record.

**Working proficiency with LaTeX, Python and Jupyter.** Some familiarity with an agentic coding extension in VS Code is useful. Gaps there are acceptable if you declare them honestly.

**English at B2 or above**, including written reasoning. A large part of the value you add is how clearly you set out your argument.

## Application steps

1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and the areas above that you are the best fit for. For each area you select, give a DOI or arXiv ID of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
2. **We verify your papers and authorship** against the public record.
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.

## Commitment and rate

**10 hours per week**, sustained across an **8 to 10 week** window, starting immediately. Remote and asynchronous with no fixed hours.

**$80 to $110 per hour**, set by depth of subdomain match.

Fluid Dynamics and Convection Stability Physicist (PhD)

## About the work

**CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is [**arXiv:2509.26574**](https://arxiv.org/abs/2509.26574) and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment. In this panel the standard of proof sits closer to mathematics than to physics.

## Research areas in this panel

Four areas. We match narrowly: you need to have published on one of these specific phenomena, not in mathematical physics broadly. Each area lists the methods it requires.

**1\. Special functions: hypergeometric identities and analytic continuation:** Gaussian hypergeometric functions, parameter differentiation of special functions, quadratic transformation identities for hypergeometric series, analytic continuation in a series index, digamma-function series, asymptotic and series expansions of special functions.

**2\. Integrable systems: half-wave maps, Lax pairs, Haldane-Shastry and Calogero-Moser:** Half-wave maps equation, Lax pair formalism and isospectral flows, Hilbert transform and singular integral operators, classical Haldane-Shastry spin chain, Calogero-Moser systems, hierarchies of conserved charges, solitons of integrable spin-field equations, numerical quadrature of singular integrals.

**3\. Permutation combinatorics for random tensor network entanglement (Cayley distance, Weingarten):** Cayley distance and geodesics in the symmetric group, minimal factorizations of permutations, non-crossing partitions, replica permutation spin models, random tensor network entanglement entropy, Weingarten calculus, multipartite entanglement measures, combinatorial enumeration of configurations.

**4\. Conformal geometry: Fefferman-Graham ambient metric, obstruction tensors:** Fefferman-Graham ambient metric construction, conformal geometry and Weyl covariance, extended obstruction tensors, Schouten and Weyl curvature tensors, order-by-order solution of Ricci-flatness conditions, poles and residues under dimensional continuation, Poincare-Einstein asymptotic expansions.

## Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating **at least one** of the following families:

- Special function analysis: Gaussian hypergeometric functions, parameter differentiation, quadratic transformation identities, analytic continuation in a series index, asymptotic expansions
    
- Integrability: Lax pair formalism, isospectral flows, Hilbert transform and singular integral operators, hierarchies of conserved charges, numerical quadrature of singular integrals
    
- Combinatorial: Cayley distance and geodesics in the symmetric group, minimal factorizations of permutations, non-crossing partitions, Weingarten calculus, multipartite entanglement measures
    
- Geometric: Fefferman-Graham ambient metric construction, Weyl covariance, Schouten and Weyl curvature tensors, order-by-order solution of Ricci-flatness conditions, Poincare-Einstein asymptotic expansions
    

## Who we are looking for

**A PhD in mathematical physics, theoretical physics or mathematics.** This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

**Published work on the specific phenomenon above, not the adjacent one.** This is the single most common reason we decline otherwise excellent physicists. Command of the methods is not enough if you have not published on the phenomenon itself.

**A verifiable publication record.** Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.

**Working proficiency with LaTeX, Python, SymPy and Jupyter.** Symbolic computation matters more in this panel than in most. Some familiarity with an agentic coding extension in VS Code is useful. Gaps there are acceptable if you declare them honestly.

**English at B2 or above**, including written reasoning. A large part of the value you add is how clearly you set out your argument.

## Application steps

1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and up to five of the areas above that you are the best fit for. For each area you select, give an arXiv ID or DOI of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
    
2. **We verify your papers and authorship** against the public record.
    
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
    
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.
    

## Commitment and rate

**10 hours per week**, sustained across an **8 to 10 week** window, starting immediately. Remote and asynchronous with no fixed hours.

**$80 to $110 per hour**, set by depth of subdomain match.

Mathematical Physicist (PhD)

## About the work

**CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is [**arXiv:2509.26574**](https://arxiv.org/abs/2509.26574) and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.

## Research areas in this panel

Five areas. We match narrowly: you need to have published on one of these specific phenomena, not in statistical physics broadly. Each area lists the methods it requires.

**1\. Disordered spin models and the Nishimori line, QEC thresholds, mixed-state topological order:** Replicated random-bond Ising model, Nishimori line and gauge symmetry of disordered spin models, quenched disorder averaging, Kramers-Wannier duality and square-lattice self-duality, Ashkin-Teller coupled Ising flavors, domain-wall free energy from twisted boundary conditions, exact lattice evaluation of Ising partition functions, decoherence-induced mixed-state topological order and quantum memory thresholds.

**2\. Entanglement entropy via the replica trick, Goldstone modes and tower of states:** Replica trick, analytic continuation in the replica index, Gaussian lattice sums and theta functions, Poisson summation and modular transformations, Renyi and von Neumann entanglement entropies, Goldstone modes and tower-of-states structure.

**3\. Range expansions with long-range dispersal, front propagation, heavy-tailed jumps:** Long-range dispersal kernels, heavy-tailed jump processes, stratified diffusion and coalescing colony models, self-consistent mean-field growth equations, convolution integral equations, asymptotic expansions with logarithmic corrections, front propagation in range expansions.

**4\. Lattice path enumeration and entanglement domain-wall statistical mechanics:** Lattice random walks with internal states, generating function methods, first-return decomposition of lattice paths, transfer-matrix partition functions, splitting and recombination of composite excitations, entanglement domain-wall statistical mechanics, weighted path enumeration.

**5\. Two-dimensional CFT: Ising minimal model, BPZ equations, conformal blocks, Coulomb gas:** Two-dimensional conformal field theory, Ising minimal model, Virasoro algebra and degenerate representations, BPZ null-vector differential equations, conformal blocks and crossing symmetry, operator product expansion and fusion rules, Coulomb gas integral representations, free-fermion and bosonization methods.

## Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating **at least one** of the following families:

- Exact lattice methods: Kramers-Wannier duality, self-duality, transfer-matrix partition functions, exact evaluation of coupled Ising flavors
    
- Replica and field-theoretic: replica trick and analytic continuation in the replica index, Gaussian lattice sums and theta functions, Renyi and von Neumann entropies
    
- Asymptotic analysis: convolution integral equations, asymptotic expansions with logarithmic corrections, stratified diffusion, generating function methods
    
- Conformal: Virasoro algebra, degenerate representations, BPZ null-vector differential equations, operator product expansion and fusion rules, free-fermion and bosonization methods
    

## Who we are looking for

**A PhD in statistical physics, mathematical physics or a closely related field.** This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

**Published work on the specific phenomenon above, not the adjacent one.** This is the single most common reason we decline otherwise excellent physicists. Command of the methods is not enough if you have not published on the phenomenon itself.

**A verifiable publication record.** Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.

**Working proficiency with LaTeX, Python, SymPy and Jupyter.** Some familiarity with an agentic coding extension in VS Code is useful. Gaps here are acceptable if you declare them honestly.

**English at B2 or above**, including written reasoning. A large part of the value you add is how clearly you set out your argument.

## Application steps

1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and up to five of the areas above that you are the best fit for. For each area you select, give an arXiv ID or DOI of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
    
2. **We verify your papers and authorship** against the public record.
    
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
    
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.
    

## Commitment and rate

**10 hours per week**, sustained across an **8 to 10 week** window, starting immediately. Remote and asynchronous with no fixed hours.

**$80 to $110 per hour**, set by depth of subdomain match.

Statistical Physics and Thermodynamics Physicist (PhD)

## About the work

**CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is **[arXiv:2509.26574](https://arxiv.org/abs/2509.26574)** and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.

## Research areas in this panel

Seven areas. We match narrowly: you need to have published on one of these specific phenomena, not in AMO broadly. Each area lists the methods it requires.

**1. Strong-field and high-harmonic generation, structured light and angular momentum:** High-harmonic generation, orbital angular momentum of structured light, spin angular momentum and optical helicity, angular momentum conservation selection rules, self-torque of light, strong-field light-matter interaction.

**2. Levitated optomechanics: optical binding and dipole-dipole coupled oscillators:** Levitated optomechanics, optical tweezers, optical binding, light-induced dipole-dipole interactions, Rayleigh point-dipole approximation, Gaussian beam propagation, nonreciprocal coupling, coupled harmonic oscillator normal modes.

**3. Levitated optomechanics: torsional and librational modes of anisotropic nanoparticles:** Levitated optomechanics, torsional and librational modes, anisotropic polarizability of dielectric ellipsoids, optical tweezers, light-induced dipole-dipole torques, rigid-body rotational dynamics, harmonic quantization of small oscillations, beam-splitter coupling Hamiltonians.

**4. Precision measurement: Penning-trap quantum cyclotron, cavity QED radiative shifts:** Geonium theory of Penning traps, single-electron quantum cyclotron, cavity quantum electrodynamics mode structure, quantization of the radiation field, non-relativistic perturbation theory, dipole approximation, radiative frequency shifts and self-energy subtraction, electron magnetic moment tests of quantum electrodynamics.

**5. Ultracold atoms in optical lattices: tight-binding and Wannier parametrization:** Optical lattice potentials from laser interference, AC Stark shift and atomic polarizability, tight-binding lattice Hamiltonians, Wannier function formalism, harmonic approximation of lattice wells, s-wave contact pseudopotential, recoil energy and deep-lattice expansion, quantum simulation with ultracold fermions.

**6. Cavity QED: Jaynes-Cummings, dark states, open-system steady states:** Cavity quantum electrodynamics, Jaynes-Cummings interaction, bright and dark atomic states, Lindblad master equations, spontaneous emission into free space, coherent states of the radiation field, steady states of open quantum systems, photon-number coherences and decoherence.

**7. Few-body physics: Efimov effect, hyperspherical methods, zero-range universality:** Efimov effect, hyperspherical coordinates and hyperangular channel functions, zero-range Bethe-Peierls boundary conditions, discrete scale invariance in the three-body problem, bosonic permutation symmetrization, universality at large scattering length, wave-function overlap integrals.

## Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating **at least one** of the following families:

- Light-matter: high-harmonic generation, angular momentum conservation selection rules, strong-field light-matter interaction, AC Stark shift and atomic polarizability
- Trap and oscillator dynamics: optical tweezers, Gaussian beam propagation, rigid-body rotational dynamics, harmonic quantization of small oscillations, beam-splitter coupling Hamiltonians
- Open quantum systems: Lindblad master equations, spontaneous emission into free space, photon-number coherences and decoherence
- Precision QED: non-relativistic perturbation theory, dipole approximation, self-energy subtraction, radiative frequency shifts
- Lattice and few-body: Wannier function formalism, s-wave contact pseudopotential, hyperspherical coordinates, zero-range boundary conditions

## Who we are looking for

**A PhD in atomic, molecular or optical physics or a closely related field.** This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

**Published work on the specific phenomenon above, not the adjacent one.** This is the single most common reason we decline otherwise excellent physicists. Command of the methods is not enough if you have not published on the phenomenon itself.

**A verifiable publication record.** Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.

**Working proficiency with LaTeX, Python, SymPy and Jupyter.** Some familiarity with an agentic coding extension in VS Code is useful. Gaps here are acceptable if you declare them honestly.

**English at B2 or above**, including written reasoning. A large part of the value you add is how clearly you set out your argument.

## Application steps

1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and up to five of the areas above that you are the best fit for. For each area you select, give an arXiv ID or DOI of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
2. **We verify your papers and authorship** against the public record.
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.

## Commitment and rate

**10 hours per week**, sustained across an **8 to 10 week** window, starting immediately. Remote and asynchronous with no fixed hours.

**$80 to $110 per hour**, set by depth of subdomain match.

Atomic, Molecular and Optical Physicist (PhD)

## About the work

**CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is **[arXiv:2509.26574](https://arxiv.org/abs/2509.26574)** and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.

## Research areas in this panel

Seven areas. We match narrowly: you need to have published on one of these specific phenomena, not in high energy theory broadly. Each area lists the methods it requires.

**1. AdS/BCFT, end-of-the-world branes, black hole interiors:** AdS/BCFT correspondence, Karch-Randall end-of-the-world branes, geodesic approximation for heavy bulk fields, thermal one-point functions, BTZ black hole geometry, black hole interior behind the horizon.

**2. LaMET and quasi-PDFs: matching kernels and DGLAP evolution:** Large-momentum effective theory, quasi-parton distribution functions, pion parton distribution functions, perturbative matching kernels, modified minimal subtraction renormalization, plus distributions, DGLAP evolution, renormalization-group resummation of logarithms, one-loop running coupling.

**3. LaMET and quasi-PDFs: one-loop perturbative QCD and renormalization:** Perturbative quantum chromodynamics, large-momentum effective theory, quasi-parton distribution functions, one-loop Feynman diagram computation, dimensional regularization, MS-bar renormalization scheme, superficial degree of divergence analysis, soft and collinear infrared divergences.

**4. LaMET and quasi-PDFs: Coulomb gauge matching and lattice QCD parton structure:** Large-momentum effective theory, Coulomb gauge fixing, quasi-parton distribution functions, perturbative matching kernels, one-loop QCD corrections, dimensional regularization, MS-bar renormalization scheme, lattice QCD calculations of parton structure.

**5. Ultralight vector (dark photon) dark matter in laser interferometers:** Ultralight vector dark matter, dark photon coupled to the baryon-minus-lepton current, laser interferometric gravitational-wave detection, differential test-mass forces from composition-dependent charge-to-mass ratios, strain noise spectral density and detector sensitivity curves, coherent signal integration and signal-to-noise scaling, local dark matter density normalization, coherence time of a stochastic ultralight field.

**6. Matrix models and invariant theory: Grassmann-valued invariants, Molien-Weyl and Hilbert series:** Adjoint matrix models, Grassmann-valued matrix invariants, gauge-invariant operator counting, trace relations, Cayley-Hamilton identities, Molien-Weyl formula, plethystic Hilbert series, primary and secondary invariants.

**7. Superconformal and Witten index, finite-N trace relations, plethystic counting:** Witten index, superconformal index, adjoint fermion matrix models, trace relations at finite N, Grassmann-valued matrix invariants, Molien-Weyl formula, plethystic counting of gauge invariants, finite-rank corrections to large-N counting.

## Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating **at least one** of the following families:

- Holographic: AdS/CFT and AdS/BCFT correspondence, geodesic approximation, thermal one-point functions
- Perturbative QCD: one-loop Feynman diagram computation, dimensional regularization, MS-bar renormalization, soft and collinear divergences
- Effective field theory: large-momentum effective theory, perturbative matching kernels, renormalization-group resummation of logarithms
- Lattice: lattice QCD calculations of parton structure, gauge fixing
- Group-theoretic: gauge-invariant operator counting, trace relations, Cayley-Hamilton identities, Molien-Weyl formula, plethystic counting
- Astroparticle and detector: interferometric gravitational-wave detection, strain noise spectral density, signal-to-noise scaling

## Who we are looking for

**A PhD in high energy theory, nuclear theory or a closely related field.** This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

**Published work on the specific phenomenon above, not the adjacent one.** This is the single most common reason we decline otherwise excellent physicists. Command of the methods is not enough if you have not published on the phenomenon itself.

For the quasi-PDF areas specifically, we need **loop-calculation experience, not lattice experience alone.**

**A verifiable publication record.** Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.

**Working proficiency with LaTeX, Python, SymPy and Jupyter.** Some familiarity with an agentic coding extension in VS Code is useful. Gaps here are acceptable if you declare them honestly.

**English at B2 or above**, including written reasoning. A large part of the value you add is how clearly you set out your argument.

## Application steps

1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and up to five of the areas above that you are the best fit for. For each area you select, give an arXiv ID or DOI of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
2. **We verify your papers and authorship** against the public record.
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.

## Commitment and rate

**10 hours per week**, sustained across an **8 to 10 week** window, starting immediately. Remote and asynchronous with no fixed hours.

**$80 to $110 per hour**, set by depth of subdomain match.

High Energy Physicist (PhD)

## About the work

**CritPt** is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is **[arXiv:2509.26574](https://arxiv.org/abs/2509.26574)** and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.

## Research areas in this panel

Twelve areas. We match narrowly: you need to have published on one of these specific phenomena, not in quantum information broadly. Each area lists the methods it requires.

**1. Distributed quantum sensing and metrology with GHZ probes under noise:** Distributed quantum sensing, quantum Fisher information, Greenberger-Horne-Zeilinger entangled probe states, GHZ-diagonal noisy states, Lindblad master equations, multiparameter phase estimation, entanglement distribution in quantum networks.

**2. Quantum optics: two-mode squeezing, SU(1,1) interferometry, homodyne detection with loss:** Optical parametric amplification, two-mode squeezed vacuum, two-photon formalism for sideband modes, Bogoliubov transformation of field operators, SU(1,1) nonlinear interferometry, cascaded phase-sensitive amplification with intermediate loss, balanced homodyne detection of quadrature sidebands, beam-splitter model of optical loss and detection inefficiency.

**3. Quantum Shannon theory: Holevo and accessible information, classical capacity:** Holevo information, accessible information of quantum ensembles, classical capacity of quantum channels, classical-quantum states, von Neumann entropy, optimality conditions for information-maximizing ensembles, convex optimization over probability distributions.

**4. Holographic codes and random tensor networks, Haar averaging over O(N):** Non-isometric holographic codes, Haar averaging over the orthogonal group, Weingarten calculus, random tensor network models of holography, moments of random linear maps, post-selection onto fiducial states, black hole interior reconstruction.

**5. Matrix product states, sequential generation, holographic quantum simulation:** Matrix product states, finitely correlated states, sequential generation of matrix product states, isometric tensor network circuits, transfer-matrix formalism for correlation functions, exponential decay of correlations, holographic quantum simulation, bond dimension and entanglement structure.

**6. Eigenstate-to-Hamiltonian construction, commutant algebras, integrals of motion:** Eigenstate-to-Hamiltonian construction, symmetric Hamiltonian construction from integrals of motion, quantum covariance matrix method, commutant algebras of local Hamiltonian families, Pauli string operator bases, Jordan-Wigner transformation, exact diagonalization of spin chains.

**7. Quantum-limited imaging and superresolution: QFI, spatial-mode demultiplexing:** Quantum Fisher information, quantum Cramer-Rao bound, Sudarshan-Glauber P representation, mutual coherence matrix of thermal sources, point spread function and diffraction-limited imaging, weak-source single-photon regime, spatial-mode demultiplexing, direct imaging and the Rayleigh resolution limit.

**8. Quantum walks and spatial search on graphs, degenerate perturbation theory:** Continuous-time quantum walk, spatial search on graphs, graph adjacency matrix spectra, simplex of complete graphs and truncated simplex lattices, degenerate perturbation theory, symmetry-reduced invariant subspaces, critical jumping rate and avoided level crossing.

**9. Quantum foundations: higher-order interference, Sorkin parameter, GPTs as information resource:** Higher-order interference, Sorkin parameter, multipath single-particle interferometry, spatial superposition as an information resource, generalized probabilistic theories, classical correlation polytopes, fingerprinting inequality, single-particle multiple access channels.

**10. Quantum foundations: generalized noncontextuality, KCBS, ontological models:** Generalized noncontextuality, Kochen-Specker contextuality, KCBS inequality, noncontextual ontological models, generalized probabilistic theories, simplex embedding, linear programming for nonclassicality, unsharp measurements and POVMs, white-noise robustness.

**11. Quantum Shannon theory: private states, quantum and private capacity, superactivation:** Private states and private bits, Choi-Jamiolkowski channel-state duality, quantum capacity and coherent information, private capacity of quantum channels, Werner states and symmetric subspace projections, degradable and antidegradable channels, superadditivity and superactivation of quantum capacity, spin alignment conjecture.

**12. Quantum relative entropy, strong data processing, contraction coefficients of qubit channels:** Quantum relative entropy, data processing inequality for relative entropy, contraction coefficients of quantum channels, strong data processing inequalities, qubit amplitude damping channel, monotone Riemannian metrics and the Bogoliubov-Kubo-Mori metric, Bloch-sphere representation of qubit channels, trace-distance contraction bounds.

## Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating **at least one** of the following families:

- Entropic and information-theoretic: von Neumann entropy, Holevo bound, coherent information, contraction coefficients, Choi-Jamiolkowski duality
- Open quantum systems: Lindblad master equations, quantum channels, degradable and antidegradable channels, amplitude damping and dephasing models
- Random matrix and Haar integration: Weingarten calculus, moments of random linear maps, Haar averaging over the orthogonal group
- Tensor network: matrix product states, transfer-matrix formalism, isometric tensor network circuits, exact diagonalization of spin chains
- Convex and geometric: convex optimization over probability distributions, simplex embedding, correlation polytopes, linear programming for nonclassicality
- Estimation theory: quantum Fisher information, quantum Cramer-Rao bounds, multiparameter phase estimation

## Who we are looking for

**A PhD in quantum information, quantum optics or a closely related field.** This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

**Published work on the specific phenomenon above, not the adjacent one.** This is the single most common reason we decline otherwise excellent physicists. Having applied the information-theoretic toolkit elsewhere is not enough if your papers are not on the phenomenon in question.

**A verifiable publication record.** Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.

**Working proficiency with LaTeX, Python, SymPy and Jupyter.** Some familiarity with an agentic coding extension in VS Code is useful. Gaps here are acceptable if you declare them honestly.

**English at B2 or above**, including written reasoning. A large part of the value you add is how clearly you set out your argument.

## Application steps

1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and up to five of the areas above that you are the best fit for. For each area you select, give an arXiv ID or DOI of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
2. **We verify your papers and authorship** against the public record.
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.

## Commitment and rate

**10 hours per week**, sustained across an **8 to 10 week** window, starting immediately. Remote and asynchronous with no fixed hours.

**$80 to $110 per hour**, set by depth of subdomain match.

Quantum Information Science Physicist (PhD)

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