Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking **Switzerland-based native Swiss German speakers** to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts.

**Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose.**

* * *

### **Key Responsibilities**

- Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.)
    
- Deliver **clear, natural, and expressive speech** with strong control over tone, pacing, and pronunciation
    
- Maintain **consistency in voice, accent, and delivery** across recording sessions
    
- Follow detailed recording guidelines (environment, microphone setup, file formatting)
    
- Perform multiple takes with variation in emotion, emphasis, and style when required
    

### **Requirements**

- **Native Swiss German speaker currently based in Switzerland**
    
- Proven experience in **voice acting, dubbing, narration, podcasting, or broadcasting**
    
- Access to a **professional or near-professional recording setup** (quality microphone, quiet environment, pop filter, etc.)
    
- Strong command of **intonation, diction, and emotional range**
    
- Ability to follow scripts precisely while maintaining natural delivery
    
- Reliable availability for **5-10 hours per week** over the project duration
    
- **\[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case.**
    

### **Preferred Qualifications**

- Experience recording for **TTS, audiobooks, IVR systems, or AI voice datasets**
    
- Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper)
    
- Ability to deliver **multiple vocal styles** (e.g., conversational, corporate, energetic, calm)
    

* * *

Voice Actor: CX Agent Voice Cloning (Swiss German)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking **Australia-based native English speakers with authentic Australian accents** to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts.

**Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose.**

* * *

### **Key Responsibilities**

- Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.)
- Deliver **clear, natural, and expressive speech** with strong control over tone, pacing, and pronunciation
- Maintain **consistency in voice, accent, and delivery** across recording sessions
- Follow detailed recording guidelines (environment, microphone setup, file formatting)
- Perform multiple takes with variation in emotion, emphasis, and style when required

### **Requirements**

- **Native English speaker with an authentic Australian accent, currently based in Australia**
- Proven experience in **voice acting, dubbing, narration, podcasting, or broadcasting**
- Access to a **professional or near-professional recording setup** (quality microphone, quiet environment, pop filter, etc.)
- Strong command of **intonation, diction, and emotional range**
- Ability to follow scripts precisely while maintaining natural delivery
- Reliable availability for **5-10 hours per week** over the project duration
- **\[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case.**

### **Preferred Qualifications**

- Experience recording for **TTS, audiobooks, IVR systems, or AI voice datasets**
- Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper)
- Ability to deliver **multiple vocal styles** (e.g., conversational, corporate, energetic, calm)

* * *

Voice Actor: CX Agent Voice Cloning (Australian English)

**Location**: Remote

**Fluent Language Skills Required:** English & Norwegian. Native fluency in English and Norwegian is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Norwegian

**Location**: Remote

**Fluent Language Skills Required:** English & Danish. Native fluency in English and Danish is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Danish

**Location**: Remote

**Fluent Language Skills Required:** English & Finnish. Native fluency in English and Finnish is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Finnish

**Location**: Remote

**Fluent Language Skills Required:** English & Swedish. Native fluency in English and Swedish is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Swedish

**Location**: Remote

**Fluent Language Skills Required:** English & Thai. Native fluency in English and Thai is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Thai

**Location**: Remote

**Fluent Language Skills Required:** English & Portuguese (global, excluding Brazilian Portuguese). Native fluency in English and Portuguese (global, excluding Brazilian Portuguese) is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Portuguese (global)

**Location**: Remote

**Fluent Language Skills Required:** English & Indonesian. Native fluency in English and Indonesian is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Indonesian

**Location**: Remote

**Fluent Language Skills Required:** English & Vietnamese. Native fluency in English and Vietnamese is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Vietnamese

**Location**: Remote

**Fluent Language Skills Required:** English & Dutch. Native fluency in English and Dutch is required for this position.

**Why This Role Exists**

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

**What You’ll Do**

- Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    
- Document reproducibly: produce reports, datasets, and attack cases customers can act on
    

**Who You Are**

- You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

**Nice-to-Have Specialties**

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

**What Success Looks Like**

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

**Why Join Mercor**

- Build experience in human data-driven AI red teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy

AI Safety Experts — English & Dutch

**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

Are you ready to help shape the future of artificial intelligence? Join a leading AI lab's cutting-edge GenAI team, where you'll be at the forefront of building groundbreaking AI models. We're seeking talented **Project Coordinators** to support and accelerate world-class AI research and data operations — acting as the operational bridge between program leadership and a growing team of domain experts.

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\. What You'll Do

- Act as a day-to-day point of contact for AI data projects, helping keep workflows and operations running smoothly.
    
- Work closely with program leads and domain experts — take inputs from leadership, turn them into clear guidelines, and share them with expert teams.
    
- Help onboard and support new experts as the program grows.
    
- Join weekly business reviews, keep notes and action items organized, and lead calls when needed.
    
- Help spot quality issues, understand root causes, and share findings across teams.
    
- Contribute to creating and refining project guidelines with research and product partners.
    
- Flag potential roadblocks early and help get them resolved.
    
- Track project deliverables using Google Sheets and Excel.
    
- Stay flexible and adapt as project needs evolve.
    

# 3\. Qualifications

- **Location:** Must be based in the USA.
    
- **Education:** STEM background strongly preferred.
    
- **Experience:** 3+ years in project coordination or project management, with the ability to coordinate large, cross-functional teams.
    
- **AI fluency:** hands-on experience on AI training-data or human-data projects — as a project coordinator, team lead, EPM, or expert contributor.
    
- **Ideal:** prior project coordination on AI/data programs at organizations like Meta, TikTok, or Amazon, or EPM/project-lead experience on Mercor projects or other AI tranining projects.
    
- **Skills:** strong data management experience (Excel, SQL) and working knowledge of coding.
    
- **Leadership:** prior people management experience or demonstrated ability to lead large groups effectively.
    

**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.

Project Coordinator

We're seeking experienced Software Engineers, QA Engineers, SDETs, and Test Automation Engineers to review browser-based evaluation workflows for AI-generated web applications. You'll validate whether browser tests are technically sound, deterministic, and capable of producing clear pass/fail outcomes before they become part of benchmark datasets.

### What You'll Do

- Review browser-based testing workflows for AI-generated web applications.
    
- Assess whether browser interactions are technically feasible and reliable.
    
- Validate test isolation, fixtures, setup, and execution flow.
    
- Ensure assertions produce deterministic, unambiguous pass/fail results.
    
- Identify flaky tests, hidden dependencies, or ambiguous validation logic.
    
- Provide structured technical feedback following project review rubrics.
    

### We're Looking For

- 3+ years of experience in Software Engineering, QA Engineering, SDET, or Test Automation.
    
- Strong experience testing modern web applications.
    
- Familiarity with browser automation frameworks such as Playwright, Cypress, Selenium, or similar tools.
    
- Experience writing automated UI and end-to-end tests.
    
- Strong understanding of test isolation, fixtures, reproducibility, and reliable browser automation.
    
- Excellent debugging skills and attention to detail.
    

### **Why Join?**

- Contribute to the development of AI systems by ensuring browser-based evaluation workflows are technically robust and reliable.
    
- Review realistic web application testing scenarios involving automation, test design, and software quality engineering.
    
- Collaborate with a high-calibre team helping establish quality standards for AI-generated software evaluation.

QA / Software Engineering Reviewer – Browser Test Validation

We're looking for experienced Product Managers, Product Designers, and Technical Product professionals to help review AI-generated web application specifications before they're used in model evaluation. You'll evaluate whether product requests are realistic, internally consistent, and clearly defined, ensuring AI-generated applications can be built and tested against high-quality specifications.

### What You'll Do

- Review AI-generated product specifications for web applications.
    
- Evaluate whether product requests are realistic, complete, and unambiguous.
    
- Verify that subsequent feature requests build correctly on the existing product state.
    
- Ensure product requirements align with associated browser-based test scenarios.
    
- Identify inconsistencies, missing requirements, or unclear acceptance criteria.
    
- Provide structured written feedback using project review guidelines.
    

### We're Looking For

- 3+ years of experience in Product Management, Technical Product Management, Product Design, or Business Analysis.
    
- Experience writing or reviewing product requirements, PRDs, user stories, or acceptance criteria.
    
- Strong understanding of modern web application workflows and user experiences.
    
- Comfortable evaluating complex feature specifications and product logic.
    
- Excellent written communication and attention to detail.
    
- Experience working with engineering and QA teams is preferred.
    

### **Why Join?**

- Help shape the quality of next-generation AI systems by reviewing real-world product specifications used in model evaluation.
    
- Apply your product expertise to challenging web application scenarios spanning user experience, feature design, and product logic.
    
- Work alongside experienced reviewers on a fast-paced, high-impact AI benchmarking initiative.

Product Reviewer – AI Web Application Specifications

Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.

There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.

### 2\. Potential Responsibilities

Future projects may involve:

- Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks
    
- Evaluating AI-generated or human-created work against established criteria
    
- Providing detailed written justifications for evaluations and scores
    
- Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
    
- Incorporating structured feedback from senior reviewers and iterating on submitted work
    

Specific responsibilities will vary depending on the project.

### 3\. Ideal Qualifications

- 1+ years of professional data science experience
    
- Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)
    
- Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses
    
- Exceptional written communication skills, including the ability to convey technical findings clearly
    
- A detail-oriented and consistent approach to evaluating complex work
    
- Comfort receiving feedback and calibrating judgment against established standards

Data Scientist Talent Network

**About the Role**

We're looking for professionals with deep, hands-on experience in the administrative and operational work that keeps HR and people functions running — the "back office" of a company's human resources department, people-operations team, or HR shared-services center. This spans the full HR administrative lifecycle: getting employees onboarded and set up, enrolling and administering benefits, running payroll through to payment, managing vendor and provider relationships, and keeping records and compliance in order. You'll help us understand the precise steps these workflows take in the real tools you use every day.

**Core Workflows** (you should actively own one or more)

- **Onboarding & Employee Lifecycle:** new-hire onboarding, offer/contract processing, I-9/E-Verify, HRIS data setup, employment verification, transfers, and offboarding
    
- **Benefits Administration:** benefits enrollment, open enrollment, qualifying life events, leave of absence (FMLA/ADA), and COBRA administration through carrier and broker portals
    
- **Payroll & Time:** payroll processing, timekeeping, deductions, garnishments, corrections, and off-cycle payments
    
- **Compensation Operations & Reconciliation:** payroll register and GL reconciliation, benefits-invoice reconciliation, and posting against pay cycles
    
- **Vendor & Compliance Operations:** benefits broker/carrier management, HRIS vendor configuration, EEOC/ACA/state reporting, unemployment claims, and audits
    
- **HR Records & People Operations:** personnel/employee records administration, document and release-of-information handling, and day-to-day HR office operations
    

**Requirements**

- 3+ years of daily, hands-on experience in an HR administrative / people-operations back-office role
    
- Direct experience with the systems this work runs on — HRIS / HCM platforms (Workday, ADP, UKG, Paycom, BambooHR, Rippling, Gusto), payroll systems, benefits-administration portals, and/or ATS / onboarding tools
    
- Currently working in an HR administrative role
    
- Based in the United States
    

**Ideal Backgrounds**

- HR Administrator / HR Coordinator
    
- People Operations Specialist / HR Operations Analyst
    
- Payroll Specialist / Payroll Coordinator
    
- Benefits Administrator / Benefits Coordinator
    
- HRIS Analyst / HRIS Administrator
    
- Onboarding / Employee Lifecycle Specialist
    
- Leave of Absence (LOA) Specialist
    
- HR Compliance Specialist
    
- Total Rewards / Compensation Operations
    

**Note:** We are looking for administrative and operational workflow expertise across HR / people operations — not talent-acquisition/recruiting sourcing or strategic HR business-partner (HRBP) roles.

Human Resources Specialist

## Role Overview

Mercor is partnering with a leading AI lab to build a network of government, public policy, and regulatory affairs experts who help train and evaluate frontier AI systems on real-world public-sector work. As a Government & Public Policy Expert, you will apply your professional judgment to author, review, and stress-test tasks spanning the full policy and administrative lifecycle — policy analysis and memo drafting, regulatory drafting and compliance review, procurement and contracting, program and grants management, budget and appropriations, and legislative affairs. Your expertise directly shapes how advanced AI models reason about the decisions that agencies, legislatures, and public institutions face every day.

## Key Responsibilities

- Design realistic public-sector scenarios and tasks drawn from your hands-on experience: policy options analysis, decision memos, briefing papers, and issue backgrounders for senior officials.
    
- Build and review regulatory work products — proposed and final rule text, preambles and regulatory impact discussion, public-comment analysis, guidance documents, and compliance determinations against controlling statute and regulation.
    
- Create procurement and contracting exercises grounded in real practice: requirements and statements of work, RFP/solicitation development, FAR and agency-supplement analysis, evaluation criteria, source-selection rationale, and contract administration issues.
    
- Develop program and grants management tasks covering notices of funding opportunity, application review and scoring, subrecipient monitoring, performance measurement, and reporting obligations.
    
- Author budget and appropriations tasks — budget justifications, spend plans, reprogramming and apportionment questions, cost estimates, and fiscal-law issues such as purpose, time, and amount.
    
- Draft legislative affairs materials, including bill analysis, fiscal notes, amendment tracking, testimony preparation, and constituent or stakeholder correspondence.
    
- Review and grade AI-generated outputs for accuracy, completeness, procedural soundness, and fidelity to the governing authority; identify subtle errors, edge cases, and failure modes in model reasoning.
    
- Provide clear, structured written rationale explaining why a given answer is correct, incomplete, or wrong, and collaborate with the team to refine evaluation rubrics and raise the quality bar for this domain.
    

## Ideal Qualifications

- 3+ years of professional experience in government, public policy, or regulatory affairs.
    
- Federal, state, local, tribal, and agency-adjacent experience is all welcome — including civil service and political appointments, legislative staff, regulatory agencies, public authorities and special districts, government contractors and consultancies, think tanks, trade associations, advocacy organizations, and in-house government affairs or regulatory teams.
    
- Depth in one or more sub-domains: policy analysis and memo writing, rulemaking and regulatory compliance, procurement and contracting (FAR, RFP/solicitation, source selection), program and grants management, budget and appropriations, or legislative affairs.
    
- Working command of the administrative process — how authority flows from statute to regulation to guidance to implementation — and of the tradeoffs, constraints, and stakeholders that shape real public decisions.
    
- Excellent written communication, with the ability to explain nuanced reasoning clearly and concisely for a decision-maker audience.
    
- Sharp attention to detail, citation discipline, and comfort evaluating the quality of others' work.
    
- A relevant credential or degree (MPP, MPA, JD, CFCM/CPCM, PMP, or comparable) is preferred but not required — demonstrated hands-on experience matters more.
    

## More About Mercor

Mercor connects the world's top domain experts with frontier AI labs to build the data that trains and evaluates the next generation of AI models. Our expert network spans law, medicine, finance, consulting, and now government and public policy, giving professionals a way to put their specialized knowledge to work on the frontier of AI.

## Application Process

- Submit your application through Mercor, including your relevant public-sector background and areas of expertise.
    
- Complete a short screening to help us understand your sub-domain strengths.
    
- Qualified candidates will be invited to a brief evaluation exercise reflecting the kind of work you would do.
    
- Selected experts are onboarded and matched to tasks that fit their expertise.
    

## About Mercor

Mercor is a talent marketplace that matches world-class experts with the companies building the future of AI. We believe the best AI is built on the judgment of real professionals, and we are creating the infrastructure to make that expertise count.

Government & Public Policy Expert

Mercor is helping recruit participants for the **Youth Well-being Project**, a research study led by **Stanford University** in collaboration with **Bocconi University**, focused on understanding how smartphones and digital tools affect children and families.

We are enrolling parents in the **United States** who have a child aged **9–13**. You can pick one child to participate with you.

## What You'll Be Asked to Do

- Fill out online surveys about your child and answer a few text-message questions
    
- Install a parental-control app on your child's phone for the study
    
- Your child answers two short online surveys and a few text-message questions about how they feel
    

## Requirements

- Based in the **United States**
    
- A parent/guardian of a child aged **9–13**
    
- The child has their own smartphone
    
- Willing to install a parental-control app on the child's phone
    
- You and your child are willing to take part together
    

## Engagement Details

- **Format:** Online surveys + short text-message check-ins
    
- **Time commitment:** About 1 hour of surveys overall
    
- **Compensation:** **$120 flat fee** for completing the study (paid once)
    
- **Location:** Remote (United States)
    
- **Participation:** One child per household
    
- **Timing:** Starting soon
    

## Why Participate

- Contribute to Stanford + Bocconi research on children's well-being in the digital age
    
- Help parents make more informed decisions about technology
    
- Flexible, remote participation

Stanford Youth Study — US Parents & Kids (Age 9–13)

**Support a high-priority industry-expert panel for a leading AI lab as an Expert Interviewer.**

# Overview

We're seeking an experienced interviewer to help vet shortlisted subject-matter experts across Law, Finance, Healthcare, and Engineering for an AI pre-training data engagement. You'll run short, structured interviews and give our team a clear, evidence-based read on each expert's fit.

# What You'll Do

- Run ~20-minute structured interviews with shortlisted experts, assessing domain depth, communication, and AI-evaluation fit against a provided rubric.
- Confirm each expert's availability, work authorization, and exclusivity, and surface any red flags.
- Tier each candidate (advance / hold / pass) and write a concise summary for the program team.
- Coordinate scheduling within weekday business hours (most experts are EST-based).

# What We're Looking For

- Prior recruiting, interviewing, or expert-vetting experience; comfort assessing senior professionals.
- Strong communication and structured judgment; able to run a warm, professional conversation and stay on time.
- EST-overlapping availability during weekday business hours.
- Able to commit reliably to about 10 hours per week, fully remote.

**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.

EPM Recruiter — Expert Interviewer

Mercor is conducting a paid research study in collaboration with a leading AI research lab focused on improving healthcare and member experiences. We are seeking current or former **Devoted Health Medicare Advantage members/Age 64+** to participate in a short online survey about their experience with their health plan. Participants will share perspectives on plan enrollment, benefits, member support, and day-to-day healthcare experiences. Insights gathered will help inform the development of AI tools designed to improve how health plans serve their members.

## Responsibilities

Participants will be asked to:

- Complete a structured ~20-minute online survey
    
- Provide a mix of multiple-choice answers and short **voice-recorded responses** (approximately 10 voice responses)
    
- Share perspectives on their experience as a Medicare Advantage plan member
    
- Submit all responses within the given timeline
    

## Requirements

- Based in the **United States**
    
- **Age 64+ / Medicare-eligible**
    
- **Currently or previously enrolled** in a **Devoted Health Medicare Advantage plan**
    
- Comfortable providing **voice-recorded responses**
    
- Access to a **microphone and a quiet environment**
    
- Able to independently complete a ~20-minute online survey
    

## Engagement Details

- **Format:** Online survey (voice-recorded responses + multiple-choice questions)
    
- **Duration:** Approximately 20 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 experience as a Medicare Advantage plan member

Medicare Advantage Members (Devoted Health) – Insight Study

Mercor is building a network of experienced management consultants for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world consulting work.

There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.

### 2\. Potential Responsibilities

Future projects may involve:

- Designing precise, task-specific grading criteria for consulting deliverables, including market analyses, strategy recommendations, financial models, client-ready presentations, and implementation roadmaps
    
- Evaluating AI-generated or human-created work against established criteria
    
- Providing detailed written justifications for evaluations and scores
    
- Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
    
- Incorporating structured feedback from senior reviewers and iterating on submitted work
    

Specific responsibilities will vary depending on the project.

### 3\. Ideal Qualifications

- 1+ years of professional management consulting experience
    
- Experience at a leading strategy or management consulting firm (such as McKinsey, Bain, BCG, or equivalent)
    
- Strong command of structured problem-solving, market sizing, financial modeling, business-case development, and executive-level presentation development
    
- Exceptional written communication skills
    
- A detail-oriented and consistent approach to evaluating complex work
    
- Comfort receiving feedback and calibrating judgment against established standards

Management Consultant Talent Network

**About the work**
We're building a high-quality library of investment-operations and fund-accounting work products. You'll complete self-contained operations exercises from mock files (ledgers, statements, notices) and produce the analyst deliverable for each, graded against a rubric.

**What you'll do**

- Reconcile ledgers vs custodian / bank statements; isolate and explain every residual difference; produce the signed-off rec with adjusting entries.
    
- Attribute NAV movements, flag components outside tolerance, and write the variance commentary.
    
- Investigate trade breaks between two systems; identify root cause, classify the break, propose the fix, and draft the investigation narrative.
    
- Process corporate-action events and compute entitlements per account; handle payment / transfer exceptions (repair / return / escalate); match messy merchant / vendor descriptors to a canonical registry.
    

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

- 3+ years in fund administration or investment operations (fund accounting, reconciliations, corporate actions, trade support / middle office, or payment operations) at a fund administrator, custodian, asset manager, or bank ops.
    
- Hands-on with reconciliations, NAV, trade breaks, corporate actions, or payment / settlement exceptions; strong Excel.
    

**Nice to have**

- CPA or IOC; fund-accounting systems (SS&C / Geneva / Multifonds / InvestOne); SWIFT / settlement systems.
    

**Assessment**
A ledger-vs-custodian reconciliation that must tie out; a NAV variance attribution; a trade-break root-cause + narrative.

**Details**
Contract, hourly (~15 hrs/week), remote, US-based. Pay $75-110/hr based on experience.

Investment Operations & Fund Accounting Analyst

**About the work**
We're building a high-quality library of US securities- and wealth-compliance work products. You'll complete self-contained review and supervision exercises from mock files and produce the compliance deliverable for each, graded against a rubric. Draft-only outputs.

**What you'll do**

- QA completed periodic client reviews against a supervision control checklist; flag deficiencies with specific control citations and write the audit-trail entry.
    
- Review Reg BI / DOL rollover and trade / new-account attestations against reference procedures; flag non-compliant recommendations with citations.
    
- Review outgoing client communications and marketing pieces against the SEC Marketing Rule and suitability guidelines; draft reviewer dispositions.
    
- Supervise structured-product and alternative-investment books; flag restriction-code hits, recent-purchase patterns, and concentration thresholds.
    

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

- 3+ years in US securities / broker-dealer / RIA compliance or supervision.
    
- Working knowledge of Reg BI, DOL rollover rules, FINRA supervisory requirements, suitability, and the SEC Marketing Rule.
    
- Strong written judgment and citation discipline.
    

**Nice to have**

- FINRA Series 7 + 24 (or 9/10); IACCP or comparable compliance designation; structured-products / alternatives supervision experience.
    

**Assessment**
Score a periodic review against a control checklist; review a rollover recommendation against Reg BI; flag a marketing piece against the SEC Marketing Rule.

**Details**
Contract, hourly (~15 hrs/week), remote, US-based. Pay $110-150/hr based on experience and licensing.

Securities & Wealth-Management Compliance / Supervisory Analyst

**About the work**
We're building a high-quality library of realistic financial-crime and KYC analyst work products. You'll complete self-contained case exercises from mock files (no live-system or client-data access) and produce the analyst deliverable for each — the same work you'd do on the job, graded against a rubric. Every client-style output ends as a draft.

**What you'll do**

- Adjudicate transaction-monitoring alerts from an alert packet + KYC/CDD profile + transaction history; document the disposition and draft the SAR narrative where warranted.
    
- Review client onboarding / KYC packets for completeness and cross-document discrepancies; produce the remediation list.
    
- Resolve multi-layer beneficial-ownership structures and apply 10%/25% UBO thresholds.
    
- Adjudicate sanctions and adverse-media hits (true match / false positive / escalate) with a short rationale each.
    
- Triage supervisory alert queues; adjudicate card fraud & disputes; assess flagged communications against trade records.
    

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

- 3+ years hands-on in AML / financial-crime, KYC/CDD, sanctions screening, fraud/disputes, or transaction surveillance at a bank, fintech, payments company, or MSB.
    
- Working knowledge of FinCEN / FATF / OFAC frameworks and SAR / CDD documentation standards.
    
- Clear, defensible written rationales.
    

**Nice to have**

- CAMS/ACAMS or CFE; enhanced due diligence / entity unwinding; SQL or transaction analytics; fintech / payments experience.
    

**Assessment**
A timed exercise: a mock alert packet → disposition + SAR narrative; a KYC packet → discrepancy & remediation list; a batch of sanctions hits → adjudication with rationale.

**Details**
Contract, hourly (~15 hrs/week), remote, US-based. Pay $75-100/hr based on experience.

Financial Crime, AML & KYC Analyst

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–9 years of relevant experience for the practitioner track, or 9–15 years for the senior reviewer track
    
- Professional experience in fundamental equity research, asset management, hedge funds, or a closely related investing role
    
- Strong financial-statement analysis, forecasting, valuation, and investment-judgment skills
    
- Experience covering TMT or semiconductors, or conducting event-driven and SEC-filings-intensive research, is a strong plus
    
- Excellent written communication and the ability to explain not only whether something is correct, but why
    
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
    
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track
    

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Public Equities Analyst / PM

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–12 years of relevant experience for the practitioner track, or 10–18 years for the senior reviewer track
- Experience in public-sector finance, municipal credit, public pensions, fiscal policy, applied economics, or empirical finance
- Strong quantitative reasoning and fluency with financial or econometric analysis
- Ability to assess evidence quality, methodological choices, causal claims, and policy interpretations
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Public Finance & Empirical Policy

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 6–12 years of relevant experience for the practitioner track, or 10–16 years for the senior reviewer track
- Professional experience in model risk management, model validation, compliance, payments, fraud, AML, sanctions, or adjacent financial-services controls
- Direct knowledge of one or more payments rails and the operational risks surrounding them
- Strong understanding of governance, documentation, testing, monitoring, controls, and issue remediation
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Model Risk, Compliance & Payments

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–10 years of relevant experience for the practitioner track, or 10–16 years for the senior reviewer track
- Professional experience in real-estate underwriting, project finance, infrastructure, energy, mining, or natural-resources investing
- Strong cash-flow modeling, valuation, debt-structuring, and sensitivity-analysis skills
- Ability to connect legal, technical, operating, and market inputs to financial outcomes
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Real Assets, Project Finance & Resources

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–10 years of relevant experience for the practitioner track, or 10–16 years for the senior reviewer track
- Professional experience in commercial banking, private credit, fixed income, asset-liability management, bank treasury, or a closely related role
- Strong financial-statement, cash-flow, credit-risk, and scenario-analysis skills
- Familiarity with balance-sheet risk, liquidity, interest-rate exposure, or hedging
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Credit, Rates & Bank Treasury

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–8 years of relevant experience for the researcher track, or 8–15 years for the senior reviewer track
- Professional experience in quantitative research, systematic trading, portfolio construction, or a closely related field
- Strong Python skills and hands-on experience building or reviewing quantitative research
- Deep understanding of research bias, data quality, validation, transaction costs, risk, and implementation constraints
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Quant Research & Systematic Trading

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–12 years of relevant experience for the practitioner track, or 10–18 years for the senior reviewer track
- Professional experience in financial planning, wealth management, retirement or tax planning, RIA operations, supervision, or compliance
- CFP certification is strongly preferred for planning-focused work; other relevant credentials are welcomed
- Strong understanding of fiduciary practice, suitability, household financial tradeoffs, and client communication
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Wealth Advisor / Planner

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–9 years of relevant trading experience or 5–8 years of relevant crypto experience for the practitioner track; 7–15 years for the senior reviewer track
- Professional experience in derivatives trading, volatility, FX, futures, market making, systematic execution, crypto, DeFi, or market structure
- Strong quantitative reasoning and practical understanding of pricing, hedging, liquidity, and risk
- Ability to distinguish theoretical correctness from executable, market-aware analysis
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — Trading, Derivatives & Crypto

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–10 years of relevant FP&A experience or 6–12 years of relevant controllership experience for the practitioner track; 10–18 years for the senior reviewer track
- Professional experience in FP&A, strategic finance, RevOps, business intelligence, controllership, accounting, or a closely related operating-finance role
- Strong financial modeling, management reporting, planning, controls, and business-partnering skills
- CPA certification is strongly preferred for accounting and controllership-focused work
- Excellent written communication and the ability to explain not only whether something is correct, but why
- High attention to detail, sound professional judgment, and comfort evaluating work against explicit standards
- Experience reviewing analysts, approving work, designing controls, or setting quality standards is especially valuable for the senior track

**Why This Work Matters**

High-quality AI evaluation depends on tasks that reflect genuine professional practice, not just plausible-looking work. Your expertise will help ensure this sprint measures meaningful finance capability with rigor and consistency.

Finance Expert — FP&A, Controller & Operating Finance

**About the Opportunity**

A leading AI research organization is starting a focused Finance Sprint within Project Mercury in the next 24 hours. We are seeking experienced finance professionals to evaluate whether individual workflows and tasks accurately reflect real professional practice in their specialist domain.

Offers are first-come, first-served. This will be a high-engagement project over the next week, so please apply only if you can stay actively involved throughout the sprint. Work may involve completing multi-hour tasks in one sitting, typically around 2–4 hours, and requires keeping Slack notifications on and responding to project updates, questions, and feedback within the day.

This is a workflow-realism evaluation engagement. You will use your professional judgment to assess whether each task, its provided context, expected workflow, and constraints would make sense in real practice. The exact task content is confidential and may vary during the sprint.

**What You'll Do**

- Review individual finance tasks and workflows for professional realism, clarity, scope, and internal consistency
- Assess whether the task inputs, context, and expected workflow reflect how the work is actually performed in your domain
- Identify missing assumptions, ambiguous instructions, unsupported requirements, impractical constraints, and material edge cases
- Flag where a task is too broad, too generic, or otherwise unlikely to produce a meaningful signal of real finance capability
- Provide concise, structured written feedback and targeted recommendations to improve task realism
- Where needed, cross-check task logic with trusted domain peers to maintain a high bar across the sprint

**Who We're Looking For**

- 5–7 years of relevant investment-banking or private-equity experience, or 5–10 years of relevant fund-operations experience, for the practitioner track; 7–15 years for the senior reviewer track
    
- Professional experience in investment banking, private equity, venture capital, fund finance, fund operations, or fund formation
    
- Strong modeling, valuation, transaction, diligence, and investment-writing skills
    
- Current or recent proximity to execution is highly valued
    
- Excellent written communication and the ability to make assumptions, risks, and recommendations explicit
    
- Experience reviewing deal teams, investment memos, or fund deliverables is especially valuable for the senior track
    

**Why This Work Matters**

Transaction and fund work combines technical precision with commercial judgment and tight internal consistency. Your expertise will help establish the standard for evaluating whether advanced AI systems can perform this work credibly.

Finance Expert — IB, PE, VC & Fund Formation

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage experienced UI/UX and product designers for a project focused on evaluating how well AI systems perform real-world digital product design work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

**2\. Key Responsibilities**

- Design precise, task-specific grading criteria for real-world digital product and UX deliverables (design systems and component libraries, responsive UI layouts and dashboards, end-to-end product flows such as onboarding, checkout, and booking, logged-in customer portals, UX writing and product content, and design-to-engineering/production handoff)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so that scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

**3\. Ideal Qualifications**

- 5+ years of professional experience in product design, UI/UX, or design systems for real digital products (not brand or marketing sites)
    
- Background at leading digital-product and UX studios, in-house product-design teams at major product-led companies, or e-commerce and marketplace companies with sophisticated customer portals and dashboards
    
- Experience across one or more relevant tracks: Product / UI / Design Systems Designer, UX Lead, UX Writer / Content Designer, or digital Product / Business Analyst
    
- Deep fluency in the day-to-day craft: interaction and visual design, design systems, responsive layouts, end-to-end product flows, prototyping and production handoff in Figma, and articulating critique the way a design or UX lead would in a review
    
- Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar for a real product and its users
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    

**4\. Application Process**

- Submit your resume, portfolio, or relevant professional background to get started
    
- Qualified applicants may be asked to complete a brief assessment or submit additional information

UI / UX Design Expert

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage experienced sales engineers for a project focused on evaluating how well AI systems perform real-world technical sales work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

**2\. Key Responsibilities**

- Design precise, task-specific grading criteria for real-world pre-sales and solutions-engineering deliverables (technical discovery plans, tailored product demonstrations, proof-of-concept and technical evaluation plans, security questionnaires and RFP responses, integration/API/architecture explanations, and product-fit and technical-risk assessments)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

**3\. Ideal Qualifications**

- 4+ years of relevant experience as a Sales Engineer, Solutions Engineer, Solutions Consultant, Pre-Sales Consultant, or Technical Sales Consultant
    
- Deep fluency in the pre-sales craft: leading technical discovery, translating customer requirements into product solutions, delivering tailored demos, handling technical objections, supporting proofs of concept, and evaluating product fit and technical risk
    
- Hands-on experience with technically complex B2B software — SaaS, cloud infrastructure, cybersecurity, data platforms, developer tools, or enterprise applications
    
- Exceptionally strong written communication, with the ability to explain exactly why a piece of technical work would or would not land with both technical and business stakeholders
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started
    
- Qualified applicants may be asked to complete a brief assessment or submit additional information

Sales Engineering Expert

We're hiring experienced Adult Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. This role is ideal for nurses who want to apply their frontline experience to improve the accuracy, safety, and reliability of medical AI tools.

You'll work on projects that require deep clinical judgment, attention to detail, and the ability to translate real-world bedside documentation practices into structured feedback for AI systems.

**Key Responsibilities**

- Review and evaluate AI-generated clinical outputs based on nursing flowsheet documentation
    
- Validate accuracy, completeness, and adherence to current documentation standards
    
- Annotate and structure inpatient nursing assessment data for AI training datasets
    
- Provide expert feedback on nursing assessments and documentation practices
    
- Identify gaps, inconsistencies, or risks in AI-generated responses
    
- Ask clarifying questions when annotation guidance is ambiguous, and contribute to guideline refinement
    
- Collaborate with technical teams to improve model performance
    
- Contribute to the development of high-quality clinical benchmarks
    

**Basic Qualifications**

- Active RN license (U.S., outside California)
    
- Recent adult acute care inpatient bedside experience, ideally in a non-procedural area of specialty
    
- Experience within the last 5–10 years, reflecting familiarity with current workflows and documentation practices (current documentation experience is prioritized over total years of nursing experience)
    
- Comfortable performing and documenting comprehensive nursing assessments
    
- Comfortable following detailed annotation guidelines consistently
    
- Excellent written communication skills and responsiveness to feedback
    
- Ability to work independently and meet deadlines
    

**Preferred Qualifications**

- Epic EHR experience (most common platform, closely aligns with many workflows)
    
- Comfortable learning new annotation tools and web-based platforms
    
- Able to navigate transcripts efficiently and use AI-assisted tools appropriately while still verifying outputs
    
- Experience reviewing charts for quality improvement, utilization review, CDI, or clinical informatics
    
- Previous annotation, chart abstraction, or healthcare AI experience

Adult Inpatient Nurses (RN)

We're hiring an Expert Project Manager to help run projects that push the frontier of LLM browsing capabilities.
Day to day: tracking project and annotator performance in Google Sheets, reviewing annotator quality, handling contributor communications, and more. We're looking for someone with high agency, strong organization, an analytical mindset, and real investment in seeing LLM training projects succeed.
Ops or project management background preferred, but the bigger thing is being able to pick up an unfamiliar problem and own it start to finish.

Expert Project Manager

**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

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Molecular Biology subject-matter experts (SMEs) with hands-on experience designing DNA and RNA sequences — primers, plasmids, guide RNAs, mRNA constructs, and repair templates — to bring deep domain expertise and elevate the quality of our AI training data. This is a part-time to full-time commitment of 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

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in molecular biology, nucleic-acid sequence design, and construct engineering.

- Design challenging, domain-relevant tasks and write accurate, well-documented solutions — spanning primers (PCR/qPCR/cloning), plasmids/expression vectors, gRNA/sgRNA for CRISPR editing, mRNA/RNA constructs, and HDR/repair templates — that serve as ground truth.

- Evaluate molecular-biology tasks and AI model outputs against expert-quality solutions and provide clear, written technical feedback on correctness, rigor, and biological reasoning.

- Develop guidelines and detailed rubrics/evaluation frameworks to assess sequence-design quality — guide/target selection, homology-arm length, primer melting temperature and specificity, codon optimization, and regulatory elements.

- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

# 3\. Core Qualifications

- Advanced degree (PhD strongly preferred) in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life-science field.

- Hands-on experience designing nucleic-acid constructs prior to experiments — across several of primers, plasmids/vectors, gRNA/sgRNA, mRNA, and HDR/repair templates — together with cloning strategy (Gibson, Golden Gate, Gateway, restriction) and codon optimization.

- A strong peer-reviewed publication record, weighted toward first-author work in notable venues (e.g., Nature and the Nature family, Cell, eLife, Nucleic Acids Research, PNAS, EMBO Journal). Please include publication links with your application.

- Demonstrable career progression.

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

- Past experience in AI training, model evaluation, and data annotation is preferred.

- Strong written communication skills and the ability to justify design choices clearly and precisely.

**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.

Molecular Biology Experts

**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 the next generation of agentic evaluation benchmarks for frontier models and needs specialists who can find where those models break. Working in a red-teaming setup, you will design and probe complex, multi-step tasks to expose vulnerabilities, edge cases, and failure modes in frontier AI systems — the places where a model looks competent but is quietly wrong.

Each task represents one to two days of continuous, focused effort and spans multiple technical skills: coding, experimentation, and careful analysis. You will work in a tight feedback loop with the lab's researchers, turning the failure modes you find into stronger benchmark tasks.

This is a full-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. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

- **Probe models:** Explore how frontier AI models behave on coding, ML, and analysis tasks, and find the spots where they quietly get things wrong.

- **Design challenges:** Turn the weaknesses you find into well-crafted tasks that are hard for models but fair to grade.

- **Document findings:** Write up what you discover clearly, with evidence and steps others can reproduce.

- **Strengthen tasks:** Team up with task authors to close loopholes, shortcuts, and grading gaps.

- **Work as a team:** Share insights with researchers and fellow experts so the benchmark keeps getting better.

## 3\. Core Qualifications

- MSc or PhD in a STEM field, or equivalent practical experience in a research-heavy domain requiring data analysis and coding.

- 1+ years of experience in a research, research-engineering, security, or AI-evaluation role.

- Demonstrated ability to identify vulnerabilities, edge cases, or failure modes in LLMs or ML systems — through red teaming, adversarial testing, security research, or rigorous model evaluation.

- Working proficiency in Python and Git, with the ability to script your own probes and analyses.

- Strong familiarity with LLM capabilities, limitations, and evaluation techniques.

- Past experience in AI training, model evaluation, or benchmark/task authoring is preferred.

- A perfectionist mindset: high attention to detail, creativity in finding what others missed, strong written communication, and the ability to work independently through ambiguous, open-ended problems.

- Ability to engage reliably for approximately 35 hours per week.

## 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.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

## 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.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

LLM Red Team Specialist — Failure Modes & Edge Cases

**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 the next generation of agentic evaluation benchmarks for frontier models, and complex multi-step tasks are only useful if they are airtight: unambiguous, correctly graded, and robust to shortcuts. We are seeking experienced QA and test engineers to be the quality backbone of this benchmark — designing the test cases and review processes that guarantee every task measures what it claims to measure.

Each task under review represents one to two days of expert effort and spans multiple technical skills, so quality review here means genuinely understanding the task: running it, probing its edge cases, and debugging its environment. You will work in a tight feedback loop with the lab's researchers and task authors.

This is a full-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. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

- **Design checks:** Create test cases that confirm each task works as intended — including the tricky edge cases.

- **Review tasks:** Give tasks and reference solutions a careful read before they're finalized, catching ambiguity and gaps early.

- **Debug:** Roll up your sleeves in Python when a task or its checks don't behave the way they should.

- **Shape the process:** Help build simple, repeatable quality checklists, and share feedback authors can act on right away.

- **Protect the results:** Watch for shortcuts and grading gaps in AI agent runs so benchmark scores stay trustworthy.

## 3\. Core Qualifications

- MSc or PhD in a STEM field, or equivalent practical experience in a research-heavy or engineering-heavy domain.

- 1+ years of experience in test engineering, quality assurance, or a research/software engineering role with strong quality ownership.

- Demonstrated skill designing test cases and quality-review processes, and debugging complex systems end-to-end.

- Working proficiency in Python and Git, and comfort navigating unfamiliar codebases and environments.

- Exceptional attention to detail and clear written documentation habits.

- Past experience in AI training, model evaluation, or quality review of AI-generated work is preferred.

- A perfectionist mindset: creativity in finding what others missed, and the ability to work independently through ambiguous, open-ended problems.

- Ability to engage reliably for approximately 35 hours per week.

## 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.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

## 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.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

QA/Test Engineer

**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 the next generation of agentic evaluation benchmarks for frontier models and is recruiting researchers from computational STEM fields — as well as computationally heavy social sciences and humanities — to bring working-researcher rigor to benchmark design. You will translate the scientific method — experimental design, hypothesis testing, and rigorous evaluation — into complex, multi-step tasks that today's best models cannot yet complete reliably.

Each task represents one to two days of continuous, focused effort and spans multiple skills: study design, implementation in code, data analysis, and careful written conclusions. You will work in a tight feedback loop with the lab's researchers, surfacing the kinds of methodological mistakes a working researcher would catch immediately.

This is a full-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. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

- **Design tasks:** Turn the research skills you use every day — designing studies, testing hypotheses, evaluating results — into engaging, multi-step tasks.

- **Author solutions:** Work through your own tasks in Python and notebooks, at the level of rigor you'd expect from a careful colleague.

- **Define what good looks like:** Help spell out what separates sound scientific reasoning from reasoning that merely sounds right.

- **Evaluate models:** Review model attempts at your tasks and flag the mistakes a working researcher would spot right away.

- **Work as a team:** Compare notes with researchers and fellow experts to keep evaluations consistent and accurate.

## 3\. Core Qualifications

- MSc or PhD in a STEM field, or in a computational social-science or humanities discipline, or equivalent practical experience in a research-heavy domain requiring data analysis and coding.

- 1+ years of experience in an active research role (academia, industry, or national labs).

- Your own research involves significant computational work: Python-based analysis, simulation, modeling, or data pipelines.

- Strong grounding in experimental design, hypothesis testing, and rigorous evaluation of results.

- Working familiarity with Git, IDEs, and notebook environments (Jupyter or Colab).

- Past experience in AI training, model evaluation, or benchmark/task authoring is preferred.

- A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems.

- Ability to engage reliably for approximately 35 hours per week.

## 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.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

## 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.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

STEM Researcher — Computational Fields

**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 the next generation of agentic evaluation benchmarks for frontier models and needs experienced data scientists and quantitative analysts to act as ground-truth experts. You will design complex analysis tasks that simulate real research work — for example, comparing two anomaly-detection algorithms on a dataset, calculating correlations, performing manual spot checks, and summarizing the findings in a notebook clear enough to drive a researcher's decision.

Each task represents one to two days of continuous, focused effort and spans multiple skills: data cleaning, statistical analysis, interpretation, and clear reporting. You will work in a tight feedback loop with the lab's researchers, verifying exactly where and why frontier models fall short on rigorous analytical work.

This is a full-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. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

- **Design tasks:** Create realistic data-analysis challenges — cleaning messy data, comparing methods, interpreting results — based on the kind of analysis you do every day.

- **Author notebooks:** Work through your own tasks in Jupyter or Colab, producing clear, reproducible reference analyses.

- **Compare methods:** Build tasks that ask for a fair comparison between analytical approaches, backed by spot checks and a clear recommendation.

- **Evaluate models:** Review how models handle your tasks, and check whether their statistics and conclusions actually hold up.

- **Work as a team:** Compare notes with researchers and fellow experts to keep evaluations consistent and accurate.

## 3\. Core Qualifications

- MSc or PhD in statistics, data science, or another quantitative STEM field, or equivalent practical experience in a research-heavy analytical domain.

- 1+ years of experience in a research, research-engineering, or heavy data-analysis role.

- Deep hands-on data-analysis skills: data cleaning, statistical correlation, hypothesis testing, and careful interpretation of results.

- Proficiency with Jupyter Notebooks or Google Colab for analysis and reporting.

- Working proficiency in Python (pandas, NumPy, or similar) and Git.

- Strong ability to communicate analytical findings in writing for decision-makers.

- Past experience in AI training, model evaluation, or benchmark/task authoring is preferred.

- A perfectionist mindset: high attention to detail, creativity in task design, and the ability to work independently through ambiguous, open-ended problems.

- Ability to engage reliably for approximately 35 hours per week.

## 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.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

## 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.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Data Science & Quantitative Analysis Expert

**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 the next generation of agentic evaluation benchmarks for frontier models and needs experienced machine learning practitioners to act as ground-truth experts for model evaluation and experimentation. You will author complex, multi-step ML tasks — for example, taking a vague research idea like "modify how an RL reward is computed," implementing the change, running the training experiment, and analyzing the results to determine success — and verify exactly where frontier models fall short.

Each task represents one to two days of continuous, focused effort and spans multiple technical skills: implementation, experiment setup and execution, and rigorous analysis. You will work in a tight feedback loop with the lab's researchers.

This is a full-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. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

- **Design tasks:** Turn real ML research ideas — like tweaking how an RL reward is computed — into well-defined, multi-step tasks.

- **Run experiments:** Implement changes, run training experiments, and analyze the results to show what a correct solution looks like.

- **Explore RL ideas:** Build some of your tasks around reinforcement-learning basics such as reward functions and training behavior.

- **Evaluate models:** See how frontier models handle your tasks, and note where and why they fall short.

- **Work as a team:** Compare notes with researchers and fellow experts so tasks stay consistent, rigorous, and fair.

## 3\. Core Qualifications

- MSc or PhD in machine learning, computer science, or another STEM field, or equivalent practical experience in a research-heavy domain.

- 1+ years of experience in a research or research-engineering role.

- Hands-on experience training and evaluating ML models and running experiments end-to-end — experiment setup, execution, and analysis — not just using ML libraries superficially.

- Strong familiarity with large language models: their capabilities, limitations, and evaluation techniques.

- Working proficiency in Python and Git, with comfort in both scripting and notebook environments.

- Basic understanding of reinforcement learning (reward functions, policy training) is preferred.

- Past experience in AI training, model evaluation, or benchmark/task authoring is preferred.

- A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems.

- Ability to engage reliably for approximately 35 hours per week.

## 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.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

## 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.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Machine Learning Engineer — Model Evaluation & Experimentation

**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 the next generation of agentic evaluation benchmarks for frontier models and needs experienced software engineers to act as task curators. You will design, implement, and review complex, multi-step engineering tasks that simulate the real-world challenges research engineers face — realistic, genuinely hard problems that today's best AI coding agents cannot yet solve reliably.

Each task represents one to two days of continuous, focused effort and spans multiple technical skills: Python implementation, environment and tooling setup, debugging, and clear documentation. You will work in a tight feedback loop with the lab's researchers, verifying exactly where and why frontier models fail on your tasks.

This is a full-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. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

- **Design tasks:** Create realistic, multi-step software engineering challenges — the kind of work you'd actually do on the job — that push the limits of today's best AI coding agents.

- **Build reference solutions:** Solve your own tasks in Python, with the setup and checks needed so each task has a clear, verifiable answer.

- **Work with AI tools:** Use AI coding assistants as part of your everyday workflow, and observe where they help and where they fall short.

- **Review and refine:** Look over tasks built by fellow experts and share feedback on clarity, correctness, and difficulty.

- **Learn from failures:** See how AI agents attempted your tasks and help the research team understand what tripped them up.

## 3\. Core Qualifications

- MSc or PhD in computer science or another STEM field, or equivalent practical experience in a research-heavy domain requiring significant coding and data analysis.

- 1+ years of experience in a research, research-engineering, or software engineering role.

- Strong hands-on Python scripting and debugging skills, with clean-code habits and attention to readability.

- Everyday fluency with version control (Git), IDEs, and standard software development workflows.

- Experience with AI coding assistants, prompt engineering, or agent workflows is preferred.

- Past experience in AI training, model evaluation, or benchmark/task authoring is preferred.

- A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems.

- Ability to engage reliably for approximately 35 hours per week.

## 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.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

## 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.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Software Engineering Expert

**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.

Pharmacy Technician

**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.

Pharmacist

**Overview**
We're hiring **30 experienced Certified Medical Coders** to support high-volume medical coding projects. This role is ideal for professionals with strong CPT and ICD-10 coding expertise who are actively certified and experienced working with U.S. healthcare documentation.

**Key Responsibilities**

- Accurately assign **CPT** and **ICD-10** codes to medical records and clinical documentation.
    
- Ensure coding complies with payer and regulatory guidelines.
    
- Review documentation for coding accuracy and completeness.
    
- Collaborate with internal quality teams to resolve coding discrepancies.
    
- Maintain high productivity and quality standards.
    

**Required Qualifications**

- **Active CPC and/or CRC certification** (AAPC or equivalent).
    
- Proven experience with **CPT coding**.
    
- Strong **ICD-10 coding** experience.
    
- Currently certified and actively practicing as a medical coder.
    

**Preferred Qualifications**

- Experience with **HCC (Hierarchical Condition Category)** coding.
    
- Strong understanding of **MEAT** documentation principles (Monitor, Evaluate, Assess, Treat).
    
- Experience with risk adjustment coding is a plus.
    

**Timeline**

- 2 weeks minimum
    

**Ideal Candidate**

- Detail-oriented with excellent coding accuracy.
    
- Familiar with U.S. healthcare coding standards and compliance requirements.
    
- Able to work independently while maintaining high-quality output.
    
- Comfortable working in a fast-paced, production-oriented environment.

Certified CPT Medical Coder (CPC/CRC)

Listing for individuals with deep domain knowledge, focusing on creating **best-in-class presentation decks/docs** with executive-level quality, transforming content into polished deliverables that meet the highest standards of visual communication.

Best-in-class Deck and Doc Crafting

**About the Role**

You'll join a trust & safety function protecting a high-traffic, consumer-facing platform from fraud and abuse. Partnering with product, engineering, and operations stakeholders, you'll investigate ambiguous, evolving abuse patterns — applying investigative rigor and creative analysis to get to root cause. Over time, you'll build specialized subject-matter expertise across the many forms this abuse can take.

We're looking for candidates with a track record in fraud detection, investigation, and risk assessment — reviewing transactions, spotting anomalies in data, and evaluating exposure. This background could come from insurance fraud, forensic accounting, banking/financial crimes, or similar. Certifications such as CFE or ACFE are a nice-to-have, not required.

**What You'll Do**

- Investigate ambiguous cases end-to-end, turning findings into data-backed conclusions that keep user trust as the top priority
    
- Pull together varied data sources and signals to trace deceptive or manipulative activity, and help design new detection experiments
    
- Document findings clearly — a well-reasoned narrative backed by concrete evidence — so others can act on your conclusions
    

**Work Setup**

- Full-time, onsite in India
    
- Must be available to work India Standard Time hours
    
- Requires a private, secure workspace (no shared or public settings), given the sensitivity of the content involved
    
- Prior experience working on a Mercor project is mandatory
    

**Minimum Qualifications**

- Bachelor's degree in a technical discipline, or equivalent hands-on experience
    
- 4+ years analyzing data — spotting trends, building summary stats, turning raw data into decisions
    
- 4+ years working end-to-end on ambiguous, open-ended analytical projects
    
- Comfortable with SQL and Python for analysis; strong problem-solving instincts and efficient execution
    
- Strong written/verbal communication, including translating dense policy concepts into plain language
    
- Track record presenting analytical findings to senior stakeholders
    
- Able to produce thorough case write-ups and detailed observation notes
    

**Preferred Qualifications**

- Familiarity with how fraud/abuse evolves on online platforms over time
    
- Background in program or policy management, customer/merchant experience, or business strategy
    
- Exposure to content moderation, policy enforcement, customer support, or policy design
    
- Sharp problem-solving and critical-thinking instincts with strong attention to detail
    
- Some familiarity with AI/ML or generative AI concepts
    
- CFE/ACFE certification a plus

Fraud Analyst – Content & Reviews Abuse

**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 Finance subject-matter experts (SMEs) with solid domain expertise to bring rigor and real-world financial judgment to our AI training data.

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

- Guide research and engineering teams to close knowledge gaps in financial reasoning, analysis, and decision-making.
    
- Design challenging, domain-relevant finance tasks and write accurate, well-reasoned solutions grounded in real financial practice.
    
- Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality.
    
- Develop and refine evaluation guidelines and scoring rubrics specific to finance tasks.
    
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
    

# 3\. Core Qualifications

- 2+ years of dedicated professional experience in finance (e.g., investment banking, asset management, corporate finance, accounting/audit, corporate treasury, financial planning & analysis) — not a generalist role that only touches finance peripherally.
    
- Professional finance credential required: **CFA, ACA, ACCA, or CPA.**
    
- Ability to engage reliably for at least 10 hours/week during weekdays.
    
- Verbal and written communication skills, problem-solving skills, and interpersonal skills.
    

**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.

Finance Specialist — CFA/ACA/ACCA/CPA Required

### Overview

We're looking to rapidly assemble a small group of world-class machine learning researchers for an initial pilot. This is a high-priority engagement with an accelerated timeline, so both exceptional candidate quality and fast turnaround are critical. We're specifically seeking researchers with demonstrated contributions to frontier ML research, particularly those driving algorithmic innovation rather than applied analytics.

### Candidate Requirements

**Required Qualifications**

- PhD in Machine Learning, Computer Science, AI, or a closely related field
    
- Published **at least one** main conference paper at **ICML, NeurIPS, or ICLR**
    
- Strong preference for candidates with **2+ publications** at these venues
    
- Demonstrated experience conducting original ML research
    

**Preferred Research Areas**

- Reinforcement Learning (RL)
    
- Meta-Learning
    
- Recursive Self-Improvement
    
- AI for Science (e.g. weather forecasting, protein modeling, scientific discovery)
    

### Timeline

**Priority:** Urgent

**Expected Schedule**

- Initial data/results: **Monday / Tuesday 27th July**
    

* * *

### Success Criteria

Candidates should have a proven record of advancing state-of-the-art machine learning through publications at top-tier conferences and possess deep expertise in frontier ML research. Speed of sourcing is important, but quality should not be compromised.

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)

**Join a growing network of industry experts supporting AI research and development.**

# Overview

We're building a select group of experienced architects to help evaluate and improve how AI systems understand and reason about architecture topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in architecture contexts.

This is a flexible, part-time engagement — approximately **10 hours per week**, fully remote, with the opportunity to continue and grow over time.

# What You'll Do

- Review and evaluate written content and AI-generated responses in your area of architectural expertise for accuracy and quality.
    
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
    
- Help identify useful reference material relevant to your field.
    
- Share insight into how architects actually work — the tools, workflows, and standards you rely on day to day.
    
- Collaborate with a small group of other subject-matter experts across different fields.
    

# What We're Looking For

- Degree-qualified architect holding a professional architecture license in the US.
    
- 2+ years of professional architecture experience, ideally across more than one project type (residential, commercial, institutional).
    
- Familiarity with building codes and standards (e.g. IBC) and common tools (Revit, AutoCAD, BIM, or similar).
    
- A portfolio of built or realized work — not purely academic or conceptual projects — is a plus.
    
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
    
- Based in the United States.
    
- Professional working English.
    
- Able to commit reliably to about 10 hours per week.
    

**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.

Architecture Expert

**Join a growing network of industry experts supporting AI research and development.**

# Overview

We're building a select group of experienced civil engineers to help evaluate and improve how AI systems understand and reason about civil engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in civil engineering contexts.

This is a flexible, part-time engagement — approximately **10 hours per week**, fully remote, with the opportunity to continue and grow over time.

# What You'll Do

- Review and evaluate written content and AI-generated responses in your area of civil engineering expertise for accuracy and quality.
    
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
    
- Help identify useful reference material relevant to your field.
    
- Share insight into how civil engineers actually work — the tools, workflows, and standards you rely on day to day.
    
- Collaborate with a small group of other subject-matter experts across different fields.
    

# What We're Looking For

- Degree-qualified civil engineer holding a Professional Engineer (PE) license in the US.
    
- 2+ years of professional civil engineering experience, ideally across more than one area (structural, geotechnical, transportation, water resources).
    
- Familiarity with relevant codes and standards (e.g. ASCE, IBC, AASHTO) and common engineering tools (AutoCAD Civil 3D, STAAD, Revit, or similar).
    
- Some experience writing technical specs, design reports, or training material is a plus.
    
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
    
- Based in the United States.
    
- Professional working English.
    
- Able to commit reliably to about 10 hours per week.
    

**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.

Civil Engineering Expert

**Join a growing network of industry experts supporting AI research and development.**

# Overview

We're building a select group of experienced chemical engineers to help evaluate and improve how AI systems understand and reason about chemical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in chemical engineering contexts.

This is a flexible, part-time engagement — approximately **10 hours per week**, fully remote, with the opportunity to continue and grow over time.

# What You'll Do

- Review and evaluate written content and AI-generated responses in your area of chemical engineering expertise for accuracy and quality.
    
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
    
- Help identify useful reference material relevant to your field.
    
- Share insight into how chemical engineers actually work — the tools, workflows, and standards you rely on day to day.
    
- Collaborate with a small group of other subject-matter experts across different fields.
    

# What We're Looking For

- Degree-qualified chemical engineer holding a Professional Engineer (PE) license in the US.
    
- 2+ years of professional chemical engineering experience, ideally across more than one area (process design, process safety, plant operations).
    
- Familiarity with process safety standards (e.g. OSHA PSM, API) and process simulation tools (Aspen, MATLAB, or similar).
    
- Some experience writing process documentation, SOPs, or technical training material is a plus.
    
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
    
- Based in the United States.
    
- Professional working English.
    
- Able to commit reliably to about 10 hours per week.
    

**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.

Chemical Engineering Expert

**Join a growing network of industry experts supporting AI research and development.**

# Overview

We're building a select group of experienced mechanical engineers to help evaluate and improve how AI systems understand and reason about mechanical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in mechanical engineering contexts.

This is a flexible, part-time engagement — approximately **10 hours per week**, fully remote, with the opportunity to continue and grow over time.

# What You'll Do

- Review and evaluate written content and AI-generated responses in your area of mechanical engineering expertise for accuracy and quality.
    
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
    
- Help identify useful reference material relevant to your field.
    
- Share insight into how mechanical engineers actually work — the tools, workflows, and standards you rely on day to day.
    
- Collaborate with a small group of other subject-matter experts across different fields.
    

# What We're Looking For

- Degree-qualified mechanical engineer holding a Professional Engineer (PE) license in the US.
    
- 2+ years of professional mechanical engineering experience, ideally across more than one area (thermodynamics/HVAC, structural/mechanical design, manufacturing).
    
- Familiarity with relevant codes and standards (e.g. ASME) and common engineering tools (SolidWorks, ANSYS, AutoCAD, or similar).
    
- Some experience writing technical documentation, specs, or training material is a plus.
    
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
    
- Based in the United States.
    
- Professional working English.
    
- Able to commit reliably to about 10 hours per week.
    

**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.

Mechanical Engineering Expert

**Join a growing network of industry experts supporting AI research and development.**

# Overview

We're building a select group of experienced electrical engineers to help evaluate and improve how AI systems understand and reason about electrical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in electrical engineering contexts.

This is a flexible, part-time engagement — approximately **10 hours per week**, fully remote, with the opportunity to continue and grow over time.

# What You'll Do

- Review and evaluate written content and AI-generated responses in your area of electrical engineering expertise for accuracy and quality.
    
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
    
- Help identify useful reference material relevant to your field.
    
- Share insight into how electrical engineers actually work — the tools, workflows, and standards you rely on day to day.
    
- Collaborate with a small group of other subject-matter experts across different fields.
    

# What We're Looking For

- Degree-qualified electrical engineer holding a Professional Engineer (PE) license in the US.
    
- 2+ years of professional electrical engineering experience, ideally across more than one area (power systems, controls, electronics, signal processing).
    
- Familiarity with relevant codes and standards (e.g. NEC, IEEE) and common engineering tools (MATLAB, AutoCAD Electrical, SPICE, or similar).
    
- Some experience writing technical documentation, specs, or training material is a plus.
    
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
    
- Based in the United States.
    
- Professional working English.
    
- Able to commit reliably to about 10 hours per week.
    

**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 Engineering Expert

**Join a growing network of industry experts supporting AI research and development.**

# Overview

We're building a select group of experienced healthcare professionals to help evaluate and improve how AI systems understand and reason about healthcare topics. You'll bring your real-world clinical expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in healthcare contexts.

This is a flexible, part-time engagement — approximately **10 hours per week**, fully remote, with the opportunity to continue and grow over time.

# What You'll Do

- Review and evaluate written content and AI-generated responses in your area of clinical expertise for accuracy and quality.
    
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
    
- Help identify useful reference material relevant to your field.
    
- Share insight into how healthcare professionals actually work — the tools, workflows, and standards you rely on day to day.
    
- Collaborate with a small group of other subject-matter experts across different fields.
    

# What We're Looking For

- Licensed medical doctor (MD).
    
- 2+ years of professional clinical experience; broad or generalist clinical exposure is a plus over a narrow subspecialty.
    
- Comfortable engaging with medical literature and clinical guidelines (e.g. UpToDate, PubMed, published research).
    
- Prior teaching or training experience (e.g. supervising residents, CME instruction, medical education) is a plus.
    
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
    
- Based in the United States.
    
- Professional working English.
    
- Able to commit reliably to about 10 hours per week.
    

**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.

Healthcare Expert

**Join a growing network of industry experts supporting AI research and development.**

# Overview

We're building a select group of experienced legal professionals to help evaluate and improve how AI systems understand and reason about legal topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in legal contexts.

This is a flexible, part-time engagement — approximately **10 hours per week**, fully remote, with the opportunity to continue and grow over time.

# What You'll Do

- Review and evaluate written content and AI-generated responses in your area of legal expertise for accuracy and quality.
    
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
    
- Help identify useful reference material relevant to your field.
    
- Share insight into how legal professionals actually work — the tools, workflows, and standards you rely on day to day.
    
- Collaborate with a small group of other subject-matter experts across different fields.
    

# What We're Looking For

- Admitted to a United States state bar. A background as a legal librarian is a plus, though not required.
    
- 2+ years of professional legal experience, ideally spanning more than one practice area (e.g. contracts, litigation, regulatory/compliance, corporate, IP).
    
- Comfortable researching and writing using standard legal tools and references (case law databases, statutes, treatises).
    
- Some experience writing or publishing legal content — memos, briefs, CLE materials, or similar — is a plus.
    
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
    
- Based in the United States.
    
- Professional working English.
    
- Able to commit reliably to about 10 hours per week.
    

**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.

Legal Expert

**About this study**

Mercor is building a new, more accurate version of O\*NET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of emergency medicine physicians is described.

**About the role (SOC 29-1214.00 — Emergency Medicine Physicians)**

Make immediate medical decisions and act to prevent death or further disability. Provide immediate recognition, evaluation, care, stabilization, and disposition of patients. May direct emergency medical staff in an emergency department.

**What you'll do**

- Complete a one-time online survey/interview about your day-to-day work as an emergency medicine physician. It takes **up to 30 minutes**.
    
- There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately.
    

**Who we're looking for (eligible applicants have)**

- **4+ years of experience practicing emergency medicine.**
    
- **Current work, or work within the last 12 months, in the role.**
    
- **Direct knowledge of triage, clinical decision-making, and patient stabilization tasks.**
    
- **U.S.-based.**
    

**Not eligible (common confounders)**

- EMTs and paramedics (SOC 29-2042.00, 29-2043.00).
    
- Nurse practitioners or physician assistants working in the emergency department (SOC 29-1171.00 and related PA occupations).
    
- Registered nurses, including ER nurses.
    
- Urgent care physicians whose practice is not based in an emergency department.
    
- Physicians in other specialties (family medicine, internal medicine, hospitalists) who do not practice emergency medicine.
    
- Residents and fellows not yet practicing independently.
    
- Surgeons, all other (SOC 29-1249.00).
    

Reference for the occupation: [https://www.onetonline.org/link/summary/29-1214.00](https://www.onetonline.org/link/summary/29-1214.00)

Emergency Medicine Physician — O*NET Occupation Study

**About this study**

Mercor is building a new, more accurate version of O\*NET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of lawyers is described.

**About the role (SOC 23-1011.00 — Lawyers)**

Represent clients in criminal and civil litigation and other legal proceedings, draw up legal documents, or manage and advise clients on legal transactions. May specialize in a single area or practice broadly across many areas of law.

**What you'll do**

- Complete a one-time online survey/interview about your day-to-day work as a lawyer. It takes **up to 30 minutes**.
    
- There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately.
    

**Who we're looking for (eligible applicants have)**

- **4+ years of experience practicing law.**
    
- **Current work, or work within the last 12 months, in the role.**
    
- **Direct knowledge of legal research, drafting, and case work tasks.**
    
- **U.S.-based.**
    

**Not eligible (common confounders)**

- Paralegals and legal assistants (SOC 23-2011.00).
    
- Judicial law clerks (SOC 23-1012.00).
    
- Judges, magistrates, arbitrators, mediators, and conciliators (SOC 23-1023.00, 23-1022.00).
    

Reference for the occupation: [https://www.onetonline.org/link/summary/23-1011.00](https://www.onetonline.org/link/summary/23-1011.00)

Lawyer — O*NET Occupation Study

Mercor is recruiting **UK-based Video Producers and Editors** with experience at leading motion design and creative production studios for a research project with a leading frontier AI lab.

We are seeking two profiles: senior video/creative producers and video editors / multimedia designers with a proven track record of producing world-class commercial and brand film. We have a strong preference for candidates with experience at studios such as BUCK, Tendril, Future Deluxe, Hornet, Giant Ant, or Ordinary Folk. This role is specifically focused on video production and post-production — not brand identity or static graphic design. Candidates should have reels or portfolios that demonstrate excellence in commercial film, brand content, motion design, editorial, or campaign work.

**Ideal candidates have experience with one or more of the following:**

\- Producing high-quality video and film for leading technology companies, global brands, startups, or cultural institutions

\- End-to-end production: scoping, budgeting, scheduling, client management, and directing creative teams through delivery (producer track)

\- Editing, motion design, and finishing in tools such as Premiere Pro, After Effects, DaVinci Resolve, or Cinema 4D (editor track)

\- Commercial, branded content, or campaign film production

\- Collaborating with multidisciplinary teams to deliver polished, production-ready film and video

**Preferred candidates have experience at one or more of the following studios:**

\- BUCK

\- Tendril

\- Future Deluxe

\- Hornet

\- Giant Ant

\- Ordinary Folk

\- Or another leading studio with an exceptional commercial and brand film portfolio

You'll help create, review, and evaluate high-quality video and motion work, leveraging your expertise in production craft, editorial judgment, and contemporary standards in commercial film and motion design. Strong candidates have experience working in professional studio environments and can critically assess the quality, pacing, and visual execution of modern video content.

Here are more details about the role:

\- You will be contributing high-quality training data for frontier AI systems

\- Successful contributions increase the likelihood of being selected for future Mercor projects

**The vetting process involves:**

\- Resume and reel/portfolio review

\- Short assessment evaluating video production expertise

**Please note:** Candidates must be based in the United Kingdom and have the right to work in the United Kingdom.

UK-Based Video Producers & Editors

**About this study**

Mercor is building a new, more accurate version of O\*NET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of software developers is described.

**About the role (SOC 15-1252.00 — Software Developers)**

Software developers research, design, and build computer software, network software, or specialized utility programs. They analyze user needs, determine the feasibility of designs within time and cost constraints, and develop software solutions by applying principles of computer science, engineering, and mathematical analysis. Their work spans the full development lifecycle: defining specifications and performance requirements, architecting systems, directing testing and validation procedures, and modifying existing software to correct errors, adapt to new hardware, or improve performance. They may coordinate with hardware engineers to integrate hardware and software systems, and they often own decisions about system design rather than executing designs handed to them.

**This occupation excludes**

- **Web developers (15-1254.00)**, whose work centers on developing and implementing websites, web applications, and interactive web interfaces. A worker whose primary responsibility is building or maintaining websites, optimizing website performance, or integrating websites with other applications is a web developer, even if they write substantial application code. The distinguishing test is the artifact: web developers produce web properties; software developers produce software systems and applications more broadly, of which the web may be one deployment surface among many.
    
- **Computer programmers (15-1251.00)**, who create, modify, and test code working from specifications drawn up by software developers or others. The distinguishing test is authorship of the design: programmers implement designs they are given, while software developers analyze requirements, produce the design, and direct development. A worker who primarily writes and debugs code to someone else's specification is a programmer, not a developer.
    

**What you'll do**

- Complete a one-time online survey/interview about your day-to-day work as a software developer. It takes **up to 30 minutes**.
    
- There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately.
    

**Who we're looking for (eligible applicants have)**

- **4+ years of experience working specifically as a software developer.**
    
- **Current work, or work within the last 12 months, in the role.**
    
- **Direct knowledge of design, coding, and deployment tasks.**
    
- **U.S.-based.**
    

**Not eligible (common confounders)**

- Software QA analysts and testers whose role is testing rather than development (SOC 15-1253.00).
    
- IT support, help desk, or system administrators who do not develop software.
    
- Computer programmers (SOC 15-1251.00).
    
- Web developers (SOC 15-1254.00).
    
- Computer systems analysts (SOC 15-1211.00).
    
- Computer systems engineers (SOC 15-1299.08).
    
- Computer and information systems managers (SOC 11-3021.00).
    

Reference for the occupation: [https://www.onetonline.org/link/summary/15-1252.00](https://www.onetonline.org/link/summary/15-1252.00)

Software Developer — O*NET Occupation Study

**About this study**

Mercor is building a new, more accurate version of O\*NET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of elementary school teachers is described.

**About the role (SOC 25-2021.00 — Elementary School Teachers, Except Special Education)**

Teach academic and social skills to students at the elementary school level.

**What you'll do**

- Complete a one-time online survey/interview about your day-to-day work as an elementary school teacher. It takes **up to 30 minutes**.
    
- There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately.
    

**Who we're looking for (eligible applicants have)**

- **4+ years teaching elementary school (excluding special education).**
    
- **Current work, or work within the last 12 months, in the role.**
    
- **Direct knowledge of lesson planning, instruction, and classroom management tasks.**
    
- **U.S.-based.**
    

**Not eligible (common confounders)**

- Kindergarten teachers (separate occupation, SOC 25-2012.00).
    
- Middle or secondary school teachers (SOC 25-2022.00, 25-2031.00).
    
- Preschool teachers (SOC 25-2011.00).
    
- Special education teachers at the elementary level (SOC 25-2056.00).
    
- Short-term or substitute teachers (SOC 25-3031.00).
    
- Teaching assistants and paraprofessionals (SOC 25-9042.00).
    
- Private tutors or homeschooling parents without classroom teaching employment.
    

Reference for the occupation: [https://www.onetonline.org/link/summary/25-2021.00](https://www.onetonline.org/link/summary/25-2021.00)

Elementary School Teacher (Except Special Education) — ONET Occupation Study

**About this study**

Mercor is building a new, more accurate version of O\*NET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of dishwashers is described.

**About the role (SOC 35-9021.00 — Dishwashers)**

Clean dishes, kitchen, food preparation equipment, and utensils.

**What you'll do**

- Complete a one-time online survey/interview about your day-to-day work as a dishwasher. It takes **up to 30 minutes**.
    
- There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately.
    

**Who we're looking for (eligible applicants have)**

- **4+ years of experience working specifically as a dishwasher.**
    
- **Current work, or work within the last 12 months, in the role.**
    
- **Direct knowledge of daily kitchen tasks, equipment, and workflow.**
    
- **U.S.-based.**
    

**Not eligible (common confounders)**

- Cooks and food preparation workers whose primary role is preparing food (SOC 35-2014.00, 35-2021.00).
    
- Servers, hosts, or general front-of-house staff.
    
- Kitchen or restaurant managers.
    

Reference for the occupation: [https://www.onetonline.org/link/summary/35-9021.00](https://www.onetonline.org/link/summary/35-9021.00)

Dishwasher — ONET Occupation Study

**About this study**

Mercor is building a new, more accurate version of O\*NET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of personal care aides is described.

**About the role (SOC 31-1122.00 — Personal Care Aides)**

Provide personalized assistance to individuals with disabilities or illness who require help with personal care and activities of daily living, such as feeding, bathing, dressing, grooming, toileting, and ambulation. May also help with preparing meals, light housekeeping, and laundry. Work is performed in settings that depend on the care recipient's needs, including the home, place of work, the community, or a daytime nonresidential facility.

**What you'll do**

- Complete a one-time online survey/interview about your day-to-day work as a personal care aide. It takes **up to 30 minutes**.
    
- There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately.
    

**Who we're looking for (eligible applicants have)**

- **4+ years of experience working specifically as a personal care aide.**
    
- **Current work, or work within the last 12 months, in the role.**
    
- **Direct knowledge of daily care tasks, settings, and routines.**
    
- **U.S.-based.**
    

**Not eligible (common confounders)**

- Home health aides whose role centers on health-related tasks such as taking vitals or wound care under clinical supervision (separate occupation, SOC 31-1121.00).
    
- Nursing assistants or CNAs working under nursing staff in clinical settings (SOC 31-1131.00).
    
- Housekeepers or maids who provide only cleaning, not personal care.
    
- Orderlies (SOC 31-1132.00).
    
- Childcare workers.
    
- Psychiatric aides (SOC 31-1133.00).
    

Reference for the occupation: [https://www.onetonline.org/link/summary/31-1122.00](https://www.onetonline.org/link/summary/31-1122.00)

Personal Care Aide -ONET Occupation Study

**Role Overview**

- Mercor is seeking senior civil engineering professionals to build evaluation tasks for AI systems operating in large-scale infrastructure and construction contexts.
    
- The workflows are calibrated to the design complexity, public safety stakes, and regulatory scope of major infrastructure projects and large public/private construction programs.
    
- Contributors design civil engineering scenarios, draft reference outputs, and write rubrics that capture how senior civil engineering leaders think.
    

**Key Responsibilities**

- Construct civil engineering scenarios spanning large-scale infrastructure design cycles, multi-stakeholder permitting and regulatory review, and complex construction management or public works processes.
    
- Build tasks across structural design and analysis, transportation and highway engineering, water resources and environmental engineering, geotechnical engineering, and construction project management.
    
- Develop engineering scenarios involving tools such as AutoCAD Civil 3D, Revit, [STAAD.Pro/ETABS](http://STAAD.Pro/ETABS), HEC-RAS, and enterprise project management platforms used on major infrastructure programs.
    
- Apply civil engineering methodologies (structural load analysis, geotechnical site assessment, hydrology/hydraulic modeling, AASHTO/ASCE design standards) and produce reference design plans, engineering calculations, and stakeholder/regulatory-facing technical narratives.
    
- Author rubrics that distinguish authentic civil engineering judgment from generic textbook or coursework-level recall.
    

**Ideal Qualifications**

- 5+ years working as a civil engineer or engineering lead at a major engineering firm, construction company, or public infrastructure agency (AECOM, Jacobs, Bechtel, state DOTs, large municipal public works departments).
    
- Direct ownership of large-scale infrastructure designs, permitting processes, or construction project delivery.
    
- Fluency in civil engineering tooling and methodologies, plus understanding of how regulatory approvals, environmental review (NEPA), and public agency oversight actually work.
    
- Professional Engineer (PE) license strongly preferred; prior rubric, engineering-training curriculum, or design documentation authorship is a plus.

Civil Engineering Experts

**Role Overview**

- Mercor is seeking senior electrical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise electrical systems and product design contexts.
    
- The workflows are calibrated to the design complexity, safety stakes, and production scale of Fortune 500 and large industrial and technology manufacturers.
    
- Contributors design enterprise electrical engineering scenarios, draft reference outputs, and write rubrics that capture how senior F500 engineering leaders think.
    

**Key Responsibilities**

- Construct enterprise electrical engineering scenarios spanning complex circuit and systems design cycles, multi-stakeholder design reviews, and manufacturing or regulatory certification processes at F500 accounts.
    
- Build tasks across F500 power systems and grid infrastructure, semiconductor and PCB design, embedded systems and firmware, signal processing, and control systems engineering.
    
- Develop engineering scenarios involving tools such as Altium Designer, Cadence, MATLAB/Simulink, SPICE simulation platforms, and enterprise PLM/EDA systems in F500 stacks.
    
- Apply enterprise electrical engineering methodologies (circuit analysis and simulation, EMC/EMI compliance, control theory, reliability and failure mode analysis) and produce reference design specifications, engineering analyses, and executive-level technical narratives.
    
- Author rubrics that distinguish authentic enterprise electrical engineering judgment from generic textbook or coursework-level recall.
    

**Ideal Qualifications**

- 5+ years working as an electrical engineer or engineering lead at a Fortune 500 technology, industrial, or energy company (Intel, Texas Instruments, GE, Siemens, Tesla).
    
- Direct ownership of F500-scale circuit designs, power systems, or engineering certification programs.
    
- Fluency in enterprise electrical engineering tooling and methodologies, plus understanding of how F500 safety standards, regulatory certification (UL, FCC, IEC), and cross-functional design governance actually work.
    
- Prior rubric, engineering-training curriculum, or design documentation authorship is a plus.

**Role Overview**

- Mercor is seeking senior mechanical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise product design and manufacturing contexts.
    
- The workflows are calibrated to the design complexity, safety stakes, and production scale of Fortune 500 and large industrial manufacturers.
    
- Contributors design enterprise mechanical engineering scenarios, draft reference outputs, and write rubrics that capture how senior F500 engineering leaders think.
    

**Key Responsibilities**

- Construct enterprise mechanical engineering scenarios spanning complex product design cycles, multi-stakeholder design reviews, and manufacturing or regulatory certification processes at F500 accounts.
    
- Build tasks across F500 product design and CAD modeling, thermal/fluid systems analysis, structural and stress analysis, manufacturing process engineering, and reliability/failure analysis.
    
- Develop engineering scenarios involving tools such as SolidWorks, ANSYS, CATIA, MATLAB/Simulink, and enterprise PLM systems (Siemens Teamcenter, PTC Windchill) in F500 stacks.
    
- Apply enterprise mechanical engineering methodologies (FEA/CFD simulation, DFM/DFA principles, Six Sigma/DFSS, GD&T standards) and produce reference design specifications, engineering analyses, and executive-level technical narratives.
    
- Author rubrics that distinguish authentic enterprise mechanical engineering judgment from generic textbook or coursework-level recall.
    

**Ideal Qualifications**

- 5+ years working as a mechanical engineer or engineering lead at a Fortune 500 industrial, automotive, aerospace, or manufacturing company (GE, Boeing, Caterpillar, Ford, Honeywell).
    
- Direct ownership of F500-scale product designs, manufacturing processes, or engineering certification programs.
    
- Fluency in enterprise mechanical engineering tooling and methodologies, plus understanding of how F500 safety standards, regulatory certification (ISO, FAA, FDA), and cross-functional design governance actually work.
    
- Prior rubric, engineering-training curriculum, or design documentation authorship is a plus.

**Role Overview**

Mercor is collaborating with a leading AI lab to engage experienced transaction advisory and valuation professionals. You'll translate real M&A, due diligence, and valuation work into structured, high-quality training data that teaches AI to reason the way deal teams do.

**Focus Areas**

M&A / transaction advisory · financial due diligence (quality of earnings) · business valuation · purchase accounting (ASC 805) support.

**Key Responsibilities**

- Design realistic scenarios from your work — quality-of-earnings (QoE) analyses, working-capital and net-debt analyses, financial due-diligence findings, valuation models (DCF, comparable companies, precedent transactions), purchase price allocation (ASC 805), and deal / LBO models
    
- Review and compare AI-generated advisory outputs for analytical accuracy, defensible assumptions, and sound professional judgment
    
- Provide clear written feedback that improves how AI performs transaction and valuation tasks
    
- Collaborate asynchronously with the research team
    

**Ideal Qualifications**

- Transaction advisory (Big 4 TAS / boutique) and/or corporate development, investment banking, or valuation background
    
- CPA, and/or ASA / ABV / CFA a plus for valuation-leaning candidates
    
- Hands-on ownership of QoE, valuation, or deal models
    
- Bachelor's degree in Accounting, Finance, or a related field
    
- Strong written communication and attention to detail
    

**Application Process**

- Submit a resume or a short summary of your transaction advisory / valuation experience
    
- Complete a short form on your practice area, specialties, and certifications
    
- Selected applicants may complete a brief sample task

Advisory & Transaction Services Expert (M&A / Valuation)

**Role Overview**

Mercor is collaborating with a leading AI lab to engage technical accounting and SEC reporting specialists. You'll translate real technical-accounting and external-reporting work into structured, high-quality training data that teaches AI to reason through complex ASC judgments.

**Focus Areas**

Technical accounting & external / SEC reporting — with deep, hands-on exposure to the standards (ASC 606 revenue, 842 leases, 718 stock comp, 805 business combinations).

**Key Responsibilities**

- Design realistic scenarios from your work — technical accounting memos, technical accounting schedules, SEC filings (10-K / 10-Q), footnotes & disclosures, and applying new/complex ASC standards to transactions
- Review and compare AI-generated technical outputs for standards-accurate conclusions and defensible support
- Provide clear written feedback that improves how AI reasons about technical accounting
- Collaborate asynchronously with the research team

**Ideal Qualifications**

- Big 4 or public-company technical accounting / SEC reporting background
- Deep, hands-on ASC exposure (606, 842, 718, 805) — actual technical-accounting depth, not general audit experience
- CPA
- Bachelor's degree in Accounting, Finance, or a related field
- Strong written communication and attention to detail

**Application Process**

- Submit a resume or a short summary of your technical accounting experience
- Complete a short form on your practice area, specialties, and certifications
- Selected applicants may complete a brief sample task

Technical Accounting & SEC Reporting Specialist

**Role Overview**

Mercor is collaborating with a leading AI lab to engage experienced audit and controls professionals — external audit and internal audit / SOX. You'll translate real audit and controls work into structured, high-quality training data that teaches AI to reason the way auditors do.

**Focus Areas**

External audit & assurance · internal audit, risk & controls (SOX).

**Key Responsibilities**

- Design realistic scenarios from your work — audit planning, scoping & risk assessment; substantive fieldwork, sampling & testing workpapers; the audit report & opinion / engagement wrap-up; PBC support; SOX controls documentation, walkthroughs & testing; issue tracking and remediation validation
    
- Review and compare AI-generated audit outputs for accuracy, evidential support, and sound professional judgment
    
- Provide clear written feedback that improves how AI performs audit and controls tasks
    
- Collaborate asynchronously with the research team
    

**Ideal Qualifications**

- Public accounting audit background (Big 4 or regional firm) and/or internal audit / controls (SOX) background
    
- CPA or CIA
    
- Bachelor's degree in Accounting, Finance, or a related field
    
- Strong written communication and attention to detail
    

**Application Process**

- Submit a resume or a short summary of your audit experience
    
- Complete a short form on your practice area, specialties, and certifications
    
- Selected applicants may complete a brief sample task

Audit & Controls Specialist (External / Internal SOX)

**Role Overview**

Mercor is collaborating with a leading AI lab to engage experienced tax professionals. You'll translate real tax compliance, provision, and planning work into structured, high-quality training data that teaches AI to reason about how tax accountants actually work.

**Focus Areas**

Tax — across corporate, individual, partnership / pass-through, SALT, and international sub-specialties.

**Key Responsibilities**

- Design realistic scenarios from your tax work — return preparation (1040 / 1120 / 1120-S / 1065), tax provision (ASC 740), responses to notices / IDRs and controversy support, tax planning and estimated payments
    
- Review and compare AI-generated tax outputs for technical accuracy and defensible positions
    
- Provide clear written feedback that improves how AI performs tax tasks
    
- Collaborate asynchronously with the research team
    

**Ideal Qualifications**

- CPA or EA (Enrolled Agent)
    
- A clear tax sub-specialty — corporate, individual, partnership, SALT, or international / cross-border
    
- Public accounting (firm) or in-house tax experience
    
- Bachelor's degree in Accounting, Finance, or a related field
    
- Strong written communication and attention to detail
    

**Application Process**

- Submit a resume or a short summary of your tax experience
    
- Complete a short form on your practice area, specialties, and certifications
    
- Selected applicants may complete a brief sample task

Tax Accountant / Specialist

**Role Overview**

Mercor is collaborating with a leading AI lab to engage experienced corporate / controllership accountants. You'll translate the day-to-day of running the books — financial reporting, the month-end close, and core accounting operations — into structured, high-quality training data that teaches AI to reason about real accounting work.

**Focus Areas**

Financial accounting & reporting · bookkeeping / client accounting services (CAS) · accounting operations (AP / AR / payroll).

**Key Responsibilities**

- Design realistic scenarios from your controllership work — financial statement preparation, journal entries, account & bank reconciliations, month-end / period-end close, fixed-asset & depreciation schedules, accruals and prepaids
- Review and compare AI-generated accounting outputs for accuracy, GAAP compliance, and sound professional judgment
- Provide clear written feedback that improves how AI performs close and reporting tasks
- Collaborate asynchronously with the research team

**Ideal Qualifications**

- CPA, or 3–5+ years of corporate/in-house or firm accounting experience (no niche certification required)
- Hands-on ownership of the general ledger and the period-end close
- Bachelor's degree in Accounting, Finance, or a related field
- Comfortable with common accounting tools (QuickBooks, NetSuite, SAP, Oracle, Excel)
- Strong written communication and attention to detail

**Application Process**

- Submit a resume or a short summary of your accounting experience
- Complete a short form on your practice area, specialties, and certifications
- Selected applicants may complete a brief sample task

Corporate / Controllership Accountant

We are seeking experienced **Irish domestic tax specialists** to review AI-generated tax research focused on **Irish domestic taxation**. Experts will evaluate technical tax analyses, supporting legal authorities, and grading rubrics while ensuring alignment with current Irish tax law. This role is focused exclusively on **Irish domestic tax matters**.

### Responsibilities

- Review Irish domestic tax research questions and model answers.
    
- Validate legal authorities and technical tax analyses.
    
- Improve grading rubrics and gold-standard answers.
    
- Ensure alignment with Revenue guidance and legislative updates.
    
- Verify technical accuracy across domestic tax topics.
    

### Required Qualifications

- 5+ years of Irish tax experience.
    
- Chartered Tax Adviser (CTA Ireland), ACA, ACCA, Chartered Accountant Ireland, Solicitor, or equivalent qualification.
    
- Deep expertise in Irish domestic taxation.
    
- Experience interpreting Irish Taxes Consolidation Act, Revenue guidance, and relevant case law.
    
- Experience preparing technical tax memoranda and advisory opinions.
    
- Excellent analytical and written communication skills.
    

### Preferred Qualifications

- Corporation Tax
    
- Income Tax
    
- VAT
    
- Capital Gains Tax
    
- Capital Acquisitions Tax
    
- Stamp Duty
    
- Revenue audits or tax controversy experience
    

### Engagement Details

- Remote
    
- 10–20 hours/week
    
- Short-term engagement
    
- Competitive hourly compensation

Ireland Domestic Tax Specialist

We are seeking experienced **Indian domestic tax specialists** to review AI-generated tax research involving **Indian domestic taxation**. Experts will assess tax accuracy, statutory references, supporting authorities, and grading rubrics. This role focuses exclusively on **Indian domestic tax law**.

### Responsibilities

- Review Indian tax research questions and model answers.
    
- Validate statutory interpretation and supporting authorities.
    
- Improve technical accuracy of tax analyses.
    
- Update answers based on recent legislative developments.
    
- Refine grading rubrics where necessary.
    

### Required Qualifications

- 5+ years of Indian tax experience.
    
- Chartered Accountant (CA), Advocate, Cost Accountant, or equivalent tax qualification.
    
- Deep expertise in Indian domestic taxation.
    
- Experience interpreting the Income-tax Act, GST legislation, CBDT circulars, and judicial precedents.
    
- Experience preparing tax opinions, litigation support, or advisory memoranda.
    
- Strong written communication skills.
    

### Preferred Qualifications

- Corporate Tax
    
- Direct Tax
    
- GST
    
- TDS/TCS
    
- Tax Litigation
    
- Assessments and Appeals
    
- Domestic tax advisory experience
    

### Engagement Details

- Remote
    
- 10–20 hours/week
    
- Short-term engagement
    
- Competitive hourly compensation

India Domestic Tax Specialist

We are seeking experienced **Singapore Domestic Tax Specialists** to review AI-generated tax research focused on **Singapore domestic taxation**. Experts will validate technical accuracy, assess legal authorities, and improve model answers and evaluation rubrics. This engagement focuses solely on **Singapore domestic tax law**.

### Responsibilities

- Review Singapore tax research questions.
    
- Validate legal reasoning and tax conclusions.
    
- Evaluate IRAS guidance and statutory references.
    
- Improve gold-standard answers and grading rubrics.
    
- Verify recent legislative and policy updates.
    

### Required Qualifications

- 5+ years of Singapore tax experience.
    
- Accredited Tax Practitioner (Singapore), CA Singapore, Chartered Accountant, or equivalent professional qualification.
    
- Deep expertise in Singapore domestic taxation.
    
- Experience with IRAS rulings, Income Tax Act, GST Act, and related legislation.
    
- Experience drafting tax memoranda and advisory opinions.
    
- Strong analytical and writing skills.
    

### Preferred Qualifications

- Corporate Income Tax
    
- Individual Income Tax
    
- GST
    
- Withholding Tax
    
- Property Tax
    
- Stamp Duty
    
- Tax advisory or dispute resolution experience
    

### Engagement Details

- 10–20 hours/week
    
- Short-term engagement
    
- Competitive hourly compensation

Singapore Domestic Tax Specialist

We are seeking experienced **UK Domestic Tax Specialists** to review and improve AI-generated tax research content focused on **UK domestic taxation**. Experts will evaluate tax accuracy, validate legal authorities, review grading rubrics, and refine model answers across UK tax topics. This role focuses exclusively on **UK domestic tax law** and does **not** require international or cross-border tax expertise.

### Responsibilities

- Review UK domestic tax research questions and model answers.
    
- Validate the accuracy of tax analyses and supporting legal authorities.
    
- Review and improve grading rubrics for technical accuracy and completeness.
    
- Rewrite model answers where necessary.
    
- Ensure analyses reflect current UK legislation, HMRC guidance, and recent tax developments.
    

### Required Qualifications

- 5+ years of professional UK tax experience.
    
- ACA, ACCA, CTA, Chartered Accountant, Solicitor, Barrister, or equivalent UK tax qualification.
    
- Deep expertise in UK domestic taxation.
    
- Experience interpreting UK tax legislation, HMRC guidance, and case law.
    
- Experience preparing technical tax opinions, memoranda, and compliance documentation.
    
- Excellent written communication and analytical skills.
    

### Preferred Qualifications

- Corporate Tax
    
- Personal Income Tax
    
- Capital Gains Tax
    
- VAT
    
- Employment Tax
    
- Stamp Duty
    
- Tax controversy or HMRC advisory experience
    

### Engagement Details

- 10–20 hours/week
    
- Short-term engagement
    
- Competitive hourly compensation

UK Domestic Tax Specialist

We are seeking experienced **US Corporate Tax Specialists** to review and improve AI-generated tax research materials. You will evaluate existing corporate tax research questions, verify the legal and technical accuracy of model answers, assess supporting authorities, and refine grading rubrics to ensure high-quality outputs. This is a short-term, fully remote engagement with flexible hours.

## Responsibilities

- Review approximately 120 existing US corporate tax research questions.
    
- Validate the accuracy of draft gold-standard answers across US tax topics.
    
- Evaluate the quality, authority, and relevance of cited legal sources, including statutes, Treasury Regulations, IRS guidance, case law, and secondary authorities.
    
- Review and improve grading rubrics for completeness, consistency, and technical accuracy.
    
- Rewrite gold answers and rubrics where necessary to reflect current law and best practices.
    
- Verify effective dates, legislative changes, and evolving tax guidance.
    

## Required Qualifications

- 5+ years of professional US tax experience.
    
- CPA, JD (LLM in Tax preferred), or equivalent experience as a Tax Manager, Tax Counsel, or Big Four tax professional.
    
- Deep expertise in **US Federal Corporate Tax**.
    
- Strong understanding of tax research methodologies and source hierarchy.
    
- Experience preparing technical tax memoranda, workpapers, tax opinions, and IRS forms.
    
- Excellent written communication skills with strong attention to detail.
    

## Preferred Qualifications

- Experience with **Partnership Tax**.
    
- Experience with **State & Local Tax (SALT)**.
    
- Familiarity with **Transfer Pricing (IRC §482)**.
    
- Experience reviewing complex, multi-step tax analyses.
    
- Ability to identify and apply recent legislative and regulatory developments (including the OBBBA and other recent tax law changes).
    

## Engagement Details

- **Location:** Remote
    
- **Commitment:** Minimum 10 hours per week
    
- **Duration:** Approximately 1–2 weeks

US Corporate Tax Review Specialist (Federal Corporate Tax)

**About the Role**

We're looking for professionals with deep, hands-on experience in the administrative and operational work that keeps healthcare organizations running — the "back office" of a medical practice, hospital, or health plan. This spans the full administrative lifecycle: getting patients registered and covered, securing authorizations, moving claims through to payment, managing provider and payer relationships, and keeping records and compliance in order. You'll help us understand the precise steps these workflows take in the real tools you use every day.

**Core Workflows** (you should actively own one or more)

- **Patient Access & Front-End:** registration, scheduling, insurance/eligibility verification, benefits interpretation, intake, and referral management
    
- **Prior Authorizations & Utilization Support:** initiating, submitting, and tracking authorizations through payer portals
    
- **Claims & Revenue Cycle:** claim submission, status tracking, denials and appeals, A/R follow-up, and resolution of rejections
    
- **Remittance & Payment Posting:** electronic remittance advice (ERA), payment posting, and reconciliation against clinical charges
    
- **Provider & Payer Operations:** credentialing, provider enrollment, payer configuration, appeals & grievances, and member/provider services
    
- **Health Information & Practice Administration:** medical records administration, release of information, and day-to-day practice/office operations
    

**Requirements**

- 3+ years of daily, hands-on experience in a healthcare administrative / back-office role
    
- Direct experience with the systems this work runs on — payer portals (Availity, Optum/Change Healthcare, Waystar, Office Ally, or individual payer hubs like UHC Link, BCBS, Aetna), EHR / practice-management platforms, and/or clearinghouses
    
- Currently working in a healthcare administrative role
    
- Based in the United States
    

**Ideal Backgrounds**

- Practice Administrator / Medical Office Manager
    
- Revenue Cycle Specialist / RCM Analyst
    
- Medical Billing Coordinator / Full-Cycle Biller
    
- Patient Access Lead / Intake / Referral Coordinator
    
- Prior Authorization Specialist
    
- Denials / Claims Resolution Specialist
    
- Credentialing / Provider Enrollment Specialist
    
- Health Plan / Payer Operations (claims, appeals & grievances, provider configuration)
    
- Health Information Management (HIM) / Medical Records administrator
    

**Note:** We are looking for administrative and operational workflow expertise across healthcare — not medical coding or clinical care roles.

Healthcare Administrative Specialist

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking **USA-based African American voice actors** to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts.

**Your voice recordings will be used exclusively for the client's internal CX AI Agent. They will not be sold, licensed, or reused for any other product, dataset, or purpose.**

* * *

### **Key Responsibilities**

- Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.)
    
- Deliver **clear, natural, and expressive speech** with strong control over tone, pacing, and pronunciation
    
- Maintain **consistency in voice, accent, and delivery** across recording sessions
    
- Follow detailed recording guidelines (environment, microphone setup, file formatting)
    
- Perform multiple takes with variation in emotion, emphasis, and style when required
    

### **Requirements**

- **USA-based voice actor with a natural African American English delivery**
    
- Proven experience in **voice acting, dubbing, narration, podcasting, or broadcasting**
    
- Access to a **professional or near-professional recording setup** (quality microphone, quiet environment, pop filter, etc.)
    
- Strong command of **intonation, diction, and emotional range**
    
- Ability to follow scripts precisely while maintaining natural delivery
    
- Reliable availability over the project duration
    
- **\[IMP\]: Your voice may be cloned for the client's CX AI Agent so please only apply if you are okay with voice cloning. Your recordings will not be sold or reused outside of this specific use case.**
    

### **Preferred Qualifications**

- Experience recording for **TTS, audiobooks, IVR systems, or AI voice datasets**
    
- Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper)
    
- Ability to deliver **multiple vocal styles** (e.g., conversational, corporate, energetic, calm)
    

* * *

Voice Actor: CX Agent Voice Cloning (African American)

We are seeking experienced **AI Safety Red Teamers** to identify vulnerabilities in frontier AI systems through adversarial testing. You will design challenging prompts, uncover model weaknesses, and evaluate AI behavior across complex, high-risk, and ambiguous ("grey-area") topics.

## Responsibilities

- Design adversarial prompts to stress-test frontier AI models.
    
- Identify jailbreaks, unsafe behaviours, hallucinations, and policy failures.
    
- Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains.
    
- Document vulnerabilities and contribute to safety benchmarking and red-teaming reports.
    
- Collaborate with AI researchers to improve model alignment, robustness, and safety.
    

## Required Qualifications

- Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related discipline.
    
- 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a related field.
    
- Strong analytical reasoning, prompt design, and written communication skills.
    
- Experience designing adversarial prompts or evaluating frontier AI systems.
    

## Preferred Qualifications

- Experience with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.
    
- Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies.
    
- Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety.
    

## Why Join?

- Help secure and strengthen the next generation of frontier AI models.
    
- Work on cutting-edge adversarial testing alongside leading AI researchers and safety teams.
    
- Influence how AI systems respond to complex, real-world safety challenges.

AI Safety Red Teamer

We are seeking experienced **AI Safety Practitioners** to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

## Responsibilities

- Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.
    
- Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains.
    
- Apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking.
    
- Identify unsafe outputs, hallucinations, reasoning failures, and policy violations.
    
- Provide structured feedback to improve model alignment and safety performance.
    
- Collaborate with AI researchers and safety teams on ongoing evaluation initiatives.
    

## Required Qualifications

- Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline.
    
- 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or a related field.
    
- Excellent written English, critical thinking, and analytical reasoning skills.
    
- Ability to consistently evaluate nuanced and policy-sensitive scenarios.
    

## Preferred Qualifications

- Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.
    
- Familiarity with safety policies, content moderation, or evaluation rubric development.
    
- Experience reviewing complex, high-risk, or ambiguous content.
    

## Why Join?

- Shape the safety and behaviour of frontier AI models used by millions worldwide.
    
- Work on challenging, real-world safety evaluations across nuanced and high-impact domains.
    
- Collaborate with leading AI researchers, engineers, and safety teams.

AI Safety Practitioner

**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 MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). This role involves AI model training and evaluation work, including writing and assessing MLOps tasks and solutions to generate high-quality training data for frontier AI systems.

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. **This is a 40-hour full-time engagement, with no conflicts/no other engagements.**

# 2\. Key Responsibilities

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
    
- Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
    
- Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
    
- Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
    
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
    

# 3\. Core Qualifications

- 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
    
- Hands-on production experience with JAX and/or PyTorch at scale.
    
- Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
    
- 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 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.

MLOps Engineer (JAX, PyTorch, Pallas/Triton)

**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

We're seeking talented Performance Engineers with deep expertise in low-level systems optimization — specifically C++, Python, and Rust — to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data. This role involves AI model training and evaluation work, including writing and assessing performance-engineering tasks and solutions to generate high-quality training data for frontier AI systems.

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. **This is a 40-hour full-time engagement, with no conflicts/no other engagements.**

# 2\. Key Responsibilities

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics.
    
- Design challenging, domain-relevant tasks across multiple specializations, and write accurate and well-structured solutions to performance engineering problems.
    
- Evaluate performance engineering tasks and solutions and provide clear, written technical feedback.
    
- Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads.
    
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
    

# 3\. Core Qualifications

- 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization.
    
- Deep hands-on expertise in at least one of the following: **C++, Python, or Rust** — with working familiarity across the others being a strong plus.
    
- Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).
    
- 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 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 Engineer (C++, Python, Rust)

Mercor is hiring on behalf of a leading AI company for **Sinhala Voice & QA Experts**. You will place and evaluate Sinhala-language voice conversations to help build and quality-check AI-powered voice agents.

This is a remote, hourly engagement open to candidates based in Sri Lanka, with an immediate start.

## Responsibilities

- Make outbound calls in Sinhala following provided scenarios
    
- QA those calls for accuracy, tone, clarity, and naturalness
    
- QA other Sinhala conversations and flag linguistic or quality issues
    
- Provide clear written feedback
    
- Participate in check-ins as needed
    

## Requirements

- Native or fluent Sinhala speaker
    
- Based in Sri Lanka
    
- Strong attention to detail
    
- Clear written communication
    

## Nice to Have

- Customer service experience
    
- Data annotation / QA experience
    

## Engagement Details

- Remote, hourly
    
- Immediate start — onboarding as soon as possible
    
- Short onboarding
    
- Ongoing scenario testing and QA

Sinhala Voice & QA Experts

Mercor is seeking experienced **Pro Bono Counsel** to evaluate AI-generated legal analyses involving civil legal services and access-to-justice issues. Experts will leverage their broad civil practice experience to assess legal reasoning and provide structured feedback to improve AI quality.

* * *

## Responsibilities

- Review AI-generated legal analyses.
    
- Evaluate housing, family, consumer, foreclosure, and debt scenarios.
    
- Assess legal reasoning and procedural guidance.
    
- Identify legal inaccuracies and access-to-justice considerations.
    
- Deliver structured written evaluations.
    

* * *

## Required Qualifications

- Juris Doctor (JD).
    
- Active U.S. bar admission.
    
- Experience managing or participating in pro bono legal initiatives.
    
- Strong background in civil legal practice.
    
- Excellent legal writing and analytical skills.
    

* * *

## Preferred Qualifications

- Experience as Pro Bono Counsel or Pro Bono Partner.
    
- Experience coordinating legal clinics or volunteer attorneys.
    
- Expertise across multiple civil legal practice areas.
    
- Experience with legal technology or AI.
    

* * *

## Why Join Mercor?

- Help improve AI systems supporting legal reasoning and access to justice.
    
- Apply broad civil legal expertise to impactful AI research.
    
- Collaborate with leading AI organisations.
    
- Competitive hourly compensation.

Pro Bono Counsel (Access to Justice Expert)

Mercor is seeking experienced **Senior Civil Legal Paralegals and Accredited Representatives** to review AI-generated legal guidance involving civil legal services workflows. Experts will assess procedural accuracy, documentation quality, and practical usefulness across common civil legal matters.

* * *

## Responsibilities

- Review AI-generated legal guidance.
    
- Evaluate procedural correctness and documentation.
    
- Assess housing, family, consumer debt, and bankruptcy scenarios.
    
- Identify filing errors and missing procedural steps.
    
- Provide structured written feedback.
    

* * *

## Required Qualifications

- Significant experience as a Senior Paralegal or Accredited Representative.
    
- Strong knowledge of civil legal procedures.
    
- Experience supporting housing, family, consumer, or debt matters.
    
- Excellent written communication skills.
    

* * *

## Preferred Qualifications

- Legal aid or nonprofit legal services experience.
    
- Familiarity with jurisdiction-specific filing procedures.
    
- Experience supporting underserved populations.
    
- Experience mentoring legal support staff.
    

* * *

## Why Join Mercor?

- Bring practical legal operations expertise into AI development.
    
- Help improve AI-generated legal guidance for real-world users.
    
- Competitive consulting rates.
    
- Opportunity to contribute to next-generation legal technology.

Senior Civil Legal Paralegal / Accredited Representative

Mercor is seeking experienced **Clinical Law Professors and Clinic Directors** to evaluate AI-generated legal reasoning involving civil legal services. Experts will combine doctrinal knowledge, legal pedagogy, and practical supervision experience to assess AI-generated legal analyses.

* * *

## Responsibilities

- Evaluate AI-generated legal responses.
    
- Review issue spotting, legal reasoning, and procedural analysis.
    
- Assess scenarios involving housing, family, consumer, and debt law.
    
- Provide structured feedback to improve AI systems.
    
- Apply experience supervising law students and live-client clinics.
    

* * *

## Required Qualifications

- Juris Doctor (JD).
    
- Current or previous U.S. bar admission.
    
- Experience directing or supervising a law school clinic.
    
- Expertise in one or more civil legal practice areas.
    
- Strong legal writing and evaluation skills.
    

* * *

## Preferred Qualifications

- Clinical Professor of Law or Clinic Director.
    
- Experience with housing, family, consumer, elder, or disability law clinics.
    
- Experience developing legal curriculum or assessment rubrics.
    
- Published scholarship or educational materials.
    

* * *

## Why Join Mercor?

- Help build more accurate AI for legal education and practice.
    
- Bring your clinical teaching expertise to emerging legal technologies.
    
- Short-term, intellectually engaging project.
    
- Competitive compensation.
    

* * *

## Engagement Details

**Location:** Remote

**Commitment:** Approximately 15 hours/week

**Project Duration:** Estimated 2–3 weeks

Clinical Law Professor / Clinic Director

Mercor is seeking experienced **Public Interest Attorneys** to evaluate AI-generated legal reasoning across a broad range of civil justice matters. You'll review realistic legal scenarios, assess legal analysis, identify reasoning gaps, and provide structured expert feedback to improve AI performance. This role is ideal for attorneys with backgrounds in nonprofit advocacy, civil litigation, impact litigation, or public interest law.

* * *

## Responsibilities

- Review AI-generated legal analyses for legal accuracy and practical usefulness.
    
- Evaluate scenarios involving housing, family law, consumer protection, debt collection, and bankruptcy.
    
- Assess legal reasoning, issue spotting, procedural correctness, and litigation strategy.
    
- Identify legal errors and recommend improvements.
    
- Deliver structured written evaluations.
    

* * *

## Required Qualifications

- Juris Doctor (JD).
    
- Active U.S. bar admission.
    
- 5+ years practicing public interest or civil litigation.
    
- Strong experience in civil legal advocacy.
    
- Excellent legal writing and analytical skills.
    

* * *

## Preferred Qualifications

- Experience at nonprofit legal organizations or impact litigation firms.
    
- Expertise in employment law, elder law, or disability rights.
    
- Experience with policy advocacy or systemic reform.
    
- Experience supervising attorneys or legal fellows.
    
- Interest in legal AI or emerging legal technology.
    

* * *

## Why Join Mercor?

- Help shape AI tools supporting access to justice.
    
- Apply real-world litigation experience to cutting-edge AI evaluation.
    
- Work alongside leading legal and AI experts.
    
- Competitive expert compensation.
    

* * *

## Engagement Details

**Location:** Remote (United States)

**Commitment:** Approximately 15 hours/week

**Project Duration:** Estimated 2–3 weeks

Public Interest Attorney (Civil Justice Expert)

Mercor is partnering with a leading AI research lab to build next-generation text-to-speech (TTS) systems capable of producing natural, expressive, and human-like voices. We are seeking **Indonesia-based female voice actors who are native Bahasa Indonesia speakers** to contribute high-quality voice recordings for training and evaluating cutting-edge speech models. Fluency in English is a plus. This role is ideal for professionals with experience in voice acting, narration, or broadcast who can deliver consistent, expressive, and clean audio across a variety of scripts.

* * *

### **Key Responsibilities**

- Record high-quality voice samples across diverse scripts (conversational, narrative, instructional, etc.)
    
- Deliver **clear, natural, and expressive speech** with strong control over tone, pacing, and pronunciation
    
- Maintain **consistency in voice, accent, and delivery** across recording sessions
    
- Follow detailed recording guidelines (environment, microphone setup, file formatting)
    
- Perform multiple takes with variation in emotion, emphasis, and style when required
    

### **Requirements**

- **Native Bahasa Indonesia speaker currently based in Indonesia**
    
- Proven experience in **voice acting, dubbing, narration, podcasting, or broadcasting**
    
- Access to a **professional or near-professional recording setup** (quality microphone, quiet environment, pop filter, etc.)
    
- Strong command of **intonation, diction, and emotional range**
    
- Ability to follow scripts precisely while maintaining natural delivery
    
- Reliable availability over the project duration
    
- **\[IMP\]: Your voice may be cloned for the clients CX AI Agent so please only apply if you are okay with voice cloning**
    

### **Preferred Qualifications**

- **Fluency in English** in addition to Bahasa Indonesia
    
- Experience recording for **TTS, audiobooks, IVR systems, or AI voice datasets**
    
- Familiarity with audio editing tools (e.g., Audacity, Adobe Audition, Reaper)
    
- Ability to deliver **multiple vocal styles** (e.g., conversational, corporate, energetic, calm)
    

* * *

Voice Actor: CX Agent Voice Cloning (Indonesian Bahasa - Female)

Mercor is hiring native German speakers to help capture and evaluate real, natural voice interactions with a next-generation AI assistant, in partnership with a leading AI lab.

You will use a specialized version of the app on your own Mac to complete everyday tasks by voice, then log and rate the AI's responses in your bilingual language.

Key Responsibilities

- Use your voice to compose messages, emails, and notes across everyday apps
    
- Direct the AI to take actions such as generating images, formatting text, applying spreadsheet formulas, or summarizing documents
    
- Record accurate transcripts of your spoken queries, and produce a cleaned-up transcript
    
- Rate the AI's responses
    
- Log all task data in a structured tracking sheet and upload supporting recordings to a shared drive
    

Ideal Qualifications

- Native or near-native proficiency in German (raised/native to Germany preferred)
    
- Able to understand and follow instructions in English
    
- MUST own a Mac with an Apple Silicon chip (M1, M2, or M3) running macOS Sequoia 15.0 or newer
    
- Regular, everyday use of common productivity apps (email, messaging, docs, spreadsheets, browsers)
    
- Comfortable with detailed, structured data entry and self-directed quality review
    

Project Timeline

- Start Date: Immediate
    
- Duration: 3 weeks
    

Application & Onboarding

- Upload your resume and application form
    
- Complete a 25-minute conversational interview on your background, experience, and motivations
    
- Set up your Mercor Expert email and complete technical setup
    
- Receive next steps and onboarding details within a few days
    

Apply today and help shape the future of natural, voice-driven AI!

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

Bilingual Writer - German (Germany)

Mercor is hiring native Arabic speakers to help capture and evaluate real, natural voice interactions with a next-generation AI assistant, in partnership with a leading AI lab.

You will use a specialized version of the app on your own Mac to complete everyday tasks by voice, then log and rate the AI's responses in your bilingual language.

Key Responsibilities

- Use your voice to compose messages, emails, and notes across everyday apps
    
- Direct the AI to take actions such as generating images, formatting text, applying spreadsheet formulas, or summarizing documents
    
- Record accurate transcripts of your spoken queries, and produce a cleaned-up transcript
    
- Rate the AI's responses
    
- Log all task data in a structured tracking sheet and upload supporting recordings to a shared drive
    

Ideal Qualifications

- Native or near-native proficiency in Egyptian Arabic (raised/native to Egypt preferred)
    
- Able to understand and follow instructions in English
    
- MUST own a Mac with an Apple Silicon chip (M1, M2, or M3) running macOS Sequoia 15.0 or newer
    
- Regular, everyday use of common productivity apps (email, messaging, docs, spreadsheets, browsers)
    
- Comfortable with detailed, structured data entry and self-directed quality review
    

Project Timeline

- Start Date: Immediate
    
- Duration: 3 weeks
    

Application & Onboarding

- Upload your resume and application form
    
- Complete a 25-minute conversational interview on your background, experience, and motivations
    
- Set up your Mercor Expert email and complete technical setup
    
- Receive next steps and onboarding details within a few days
    

Apply today and help shape the future of natural, voice-driven AI!

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

Bilingual Writer - Arabic (Egypt)

1\. Role Overview

Mercor is partnering with a leading AI research organization to engage experienced management consultants for a project focused on evaluating how well AI systems perform real-world consulting work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

2\. Key Responsibilities

- Design precise, task-specific grading criteria for real-world consulting deliverables (market analyses, strategy recommendations, financial models, client-ready slide decks, and implementation roadmaps)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so that scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

3\. Ideal Qualifications

- 5+ years of professional management consulting experience
    
- Background at a top-tier strategy or management consulting firm (e.g., McKinsey, Bain, BCG, or equivalent)
    
- Deep fluency in structured problem solving, market sizing, financial modeling and business-case building, and slide-based executive communication
    
- Exceptionally strong written communication
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    

4\. Application Process

- Submit your resume or relevant professional background to get started
    
- Qualified applicants may be asked to complete a brief assessment or submit additional information

Management Consulting Expert

Project Coordinator - AI & Data Projects

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage experienced brand designers for a project focused on evaluating how well AI systems perform real-world brand and design work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

**2\. Key Responsibilities**

- Design precise, task-specific grading criteria for real-world brand design deliverables (brand identity systems and guidelines, logos and visual identity, campaign and marketing visuals, packaging concepts, presentation and layout design, digital and social assets, and brand messaging and positioning)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so that scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

**3\. Ideal Qualifications**

- 5+ years of professional experience in brand, visual, or graphic design
    
- Background specifically at world-class independent brand and design agencies (e.g., Pentagram, Wolff Olins, Landor, Collins, IDEO) — agency experience, not in-house or enterprise design teams
    
- Experience in one of the core brand disciplines: Creative Director, Brand Designer (logo, visual identity, supporting graphics), Web Designer (UI/UX, web architecture), or Graphic Designer
    
- Deep fluency in the day-to-day craft: typography, layout and visual hierarchy, color, composition, logo and brand identity systems, and articulating critique the way a creative director would in a review
    
- Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Experience with copywriting and brand messaging — including audience research, competitor research, and positioning — is a strong plus
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    

**4\. Application Process**

- Submit your resume, portfolio, background to get started
    
- Qualified applicants may be assessment or submit additional information

Agency Brand Design Expert

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage experienced marketing professionals for a project focused on evaluating how well AI systems perform real-world marketing work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

**2\. Key Responsibilities**

- Design precise, task-specific grading criteria for real-world marketing deliverables (creative briefs, campaign concepts and decks, brand positioning and messaging frameworks, ad copy and scripts, integrated campaign plans, client-ready presentations)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so that scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

**3\. Ideal Qualifications**

- 5+ years of professional experience in marketing or advertising
    
- Background as a creative director, account lead, or brand strategist at top-tier global creative agencies, or in senior brand marketing roles at leading consumer companies
    
- Deep fluency in the day-to-day craft: writing and evaluating creative briefs, campaign development across channels, brand positioning and messaging, and judging creative work against a brief and a business objective
    
- Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    
- No specialized media-planning or measurement background is required for this role
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started
    
- Qualified applicants may be asked to complete a brief assessment or submit additional information

Marketing Expert

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage experienced B2B sales professionals for a project focused on evaluating how well AI systems perform real-world sales work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

**2\. Key Responsibilities**

- Design precise, task-specific grading criteria for real-world sales deliverables (prospecting sequences and outreach emails, discovery and demo call plans, account and territory plans, proposals, mutual action plans, forecast and pipeline reviews)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so that scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

**3\. Ideal Qualifications**

- 5+ years of professional B2B sales experience, including quota-carrying roles
    
- Background as an Account Executive or Sales Development Representative selling into large enterprises
    
- Deep fluency in the day-to-day craft: outbound prospecting and sequencing, discovery and qualification, multi-stakeholder deal management, pipeline hygiene and forecasting, and structured sales methodologies
    
- Exceptionally strong written communication, with the ability to explain exactly why a piece of work would or would not land with a real buyer
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started
    
- Qualified applicants may be asked to complete a brief assessment or submit additional information

B2B Sales Expert

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage experienced accountants for a project focused on evaluating how well AI systems perform real-world accounting work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

**2\. Key Responsibilities**

- Design precise, task-specific grading criteria for real-world accounting deliverables (reconciliations, close packages, financial statements and disclosures, workpapers, technical accounting memos)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so that scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

**3\. Ideal Qualifications**

- 5+ years of professional accounting experience
    
- Background in audit, assurance, or advisory at leading global accounting firms, or in senior accounting roles at large public companies
    
- CPA or equivalent professional certification strongly preferred
    
- Deep fluency in the day-to-day craft: US GAAP application, month-end close, account reconciliations, financial statement preparation and disclosures, and audit-ready workpapers
    
- Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet professional standards
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started
    
- Qualified applicants may be asked to complete a brief technical assessment or submit additional information

Accounting Expert

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

**2\. Key Responsibilities**

- Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations)
    
- Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
    
- Apply consistent, evidence-based judgment so that scores are reproducible and defensible
    
- Incorporate structured feedback from senior reviewers and iterate quickly on your work
    

**3\. Ideal Qualifications**

- 5+ years of professional data science experience in industry
    
- Background in business operations, product, or growth data science at top-tier technology companies
    
- Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders
    
- Exceptionally strong written communication
    
- Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
    
- Prior experience with AI training, evaluation, or human-data projects is a strong plus
    

**4\. Application Process**

- Submit your resume or relevant technical background to get started
    
- Qualified applicants may be asked to complete a brief technical assessment or submit additional information

Data Science Expert

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