**Mercor is recruiting UK-based Banking, Consulting, Legal, and Technology Experts to annotate data for a research project with a leading frontier AI lab.**

We are seeking experienced professionals with 3+ years of post-graduate, hands-on experience in **banking and investing, law, consulting, technology, or finance operations**. Most of our current experts sit in the 3-10 year experience range.

This work is about deciding what "good" looks like. You will review realistic workplace tasks and the outputs they produce, work out what a top performer in your own profession would actually have delivered, and record that judgment in a precise, structured, consistent form. Strong candidates are opinionated about quality in their own domain and can defend, in writing, why one deliverable is better than another.

**Ideal candidates come from one or more of the following backgrounds:**

- **Banking and investing:** bulge bracket or top boutique investment banking, private equity, growth equity, or equity research (Goldman Sachs, J.P. Morgan, Morgan Stanley, Citi, Barclays, Lazard, Rothschild, Evercore, EQT, Bridgepoint, Cinven)
- **Law:** Magic Circle or US firms in London, or in-house counsel (A&O Shearman, Clifford Chance, Freshfields, Linklaters, Slaughter and May)
- **Consulting:** MBB, or Big 4 strategy and deals
- **Technology:** FAANG or top-tier tech and fintech, in software engineering, product management, data science, or design (Google, DeepMind, Meta, Amazon, Apple, Microsoft, Stripe, Revolut, Monzo)
- **Finance operations:** controller, FP&A, treasury, or business finance

**Ideal candidates have a strong academic or professional-qualification background, such as:**

- Oxbridge, LSE, Imperial, UCL, Warwick, or the wider Russell Group
- A top US or continental European equivalent (Ivy+, INSEAD, Bocconi, IE)
- A top MBA, or a professional qualification such as ACA, ACCA, CFA, or qualification as a solicitor

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

- Setting the quality bar for other people's work, such as reviewing analyst or associate output, marking up drafts, or running QC
- Writing checklists, review criteria, or model answers
- Breaking a finished deliverable down into the specific decisions that made it good or bad
- Working from messy, incomplete source material and documenting the assumptions made
- Giving written feedback that is specific enough to act on
- Holding a consistent standard across a high volume of work

You'll help create, review, and annotate high-quality workplace scenarios, leveraging your professional judgment about what separates excellent work from merely acceptable work in your field.

Strong candidates are precise writers, comfortable being held to a numeric standard, and willing to be told an annotation is wrong and to redo it.

Here are more details about the role:

- You will be contributing high-quality training data for frontier AI systems
- Immediate start, with work scheduled week by week through the end of the year
- We are looking for a minimum of 30 hours per week, confirmed week by week
- The project team collaborates on a UK business-hours rhythm
- Successful contributions increase the likelihood of being selected for future Mercor projects

**The vetting process involves:**

- Resume and work history screen
- A short screen confirming your UK location, right to work, and week-by-week availability through the end of the year
- A short interview evaluating domain expertise and evaluative judgment

**Please note:** Candidates **must be based in the United Kingdom and have the right to work in the United Kingdom**. This is an essential requirement for the role.

UK-Based Banking, Consulting, Legal & Technology Experts

Mercor is seeking **experimental scientists and engineers specialising in superconductors** to support a frontier AI research lab building advanced models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialised knowledge of **superconducting materials, synthesis, characterisation, transport measurements, thin films, and superconducting devices** to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about superconducting materials, properties, experiments, and devices.

### Key Responsibilities:

- Contribute deep domain expertise across **superconducting material synthesis, characterisation, experimental superconductivity, fabrication, and device physics** to build high-quality training and evaluation data.
    
- Review and evaluate AI-generated scientific reasoning related to **superconducting materials and phenomena**, identifying experimental or theoretical errors and improving technical accuracy.
    
- Design and solve challenging, expert-level problems involving **critical temperature (Tc), critical current density (Jc), critical magnetic fields, magnetic susceptibility, electrical transport, flux pinning, vortex behaviour, and structure–property relationships**.
    
- Analyse and reason about experimental results from techniques such as **XRD, SEM/TEM, SQUID/VSM magnetometry, resistivity and magnetotransport measurements, spectroscopy, and cryogenic measurements**.
    
- Rate and rank model outputs against defined scientific criteria, providing clear written reasoning grounded in experimental superconductivity.
    
- Structure technical knowledge — including **synthesis procedures, processing parameters, phase and structural data, transport measurements, magnetic measurements, and device data** — into well-organised, model-ready data.
    
- Deliver reliable, technically rigorous, high-quality work within defined timelines.
    

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

- Hands-on experimental experience with one or more classes of **superconducting materials**, including **cuprate/high-temperature superconductors, iron-based superconductors, conventional superconductors, MgB₂, REBCO/YBCO systems, or emerging superconducting materials**.
    
- Experience with **superconducting material synthesis or processing**, such as solid-state synthesis, single-crystal growth, powder processing, thin-film deposition, or related techniques.
    
- Strong experience characterising superconducting properties through **electrical resistivity/transport, magnetotransport, magnetic susceptibility, SQUID/VSM magnetometry, critical current measurements, critical field measurements, or cryogenic experiments**.
    
- Strong understanding of superconducting phenomena, including **Tc, Jc, critical magnetic fields, Meissner effect, flux pinning, vortex dynamics, and the relationship between material structure and superconducting performance**.
    
- Experience with **superconducting thin films, heterostructures, or device fabrication** using techniques such as PLD, MBE/epitaxy, sputtering, lithography, etching, or clean-room micro/nanofabrication — a plus.
    
- Experience with **applied superconductors or superconducting devices**, such as superconducting wires and tapes, coated conductors, Josephson junctions, SQUIDs, superconducting circuits, resonators, detectors, or superconducting quantum devices — a plus.
    
- An advanced degree (**PhD/MS**) or equivalent hands-on research experience in materials science, condensed matter physics, applied physics, chemistry, electrical engineering, or a closely related field.
    
- Clear written English and the ability to explain complex experimental results and technical reasoning concisely.
    

### Why Join:

- **Shape frontier AI for superconductivity:** Apply your expertise to improve how advanced AI models reason about superconducting materials, experiments, properties, and devices.
    
- **Work on technically challenging problems:** Engage with expert-level questions spanning superconducting synthesis, characterisation, transport, cryogenic measurements, thin films, and device physics.
    
- **Translate experimental expertise into AI capability:** Your hands-on research experience will directly contribute to creating scientifically rigorous training and evaluation data for next-generation models.
    
- **Long-term research opportunity:** Contribute to an ongoing collaboration at the intersection of **superconductivity, materials science, and frontier AI research**.

Experimental Scientist / Engineer – Superconductors

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 **licensed health insurance agents and brokers who actively sell Medicare Advantage (MA) plans** to take part in a short online interview about how they advise clients, enroll members, and work across carriers and plans. Insights gathered will help inform the development of AI tools designed to improve how Medicare plans and agents serve 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**
    
- Share perspectives on selling and enrolling clients in Medicare Advantage plans
    
- Submit all responses within the given timeline
    

## Requirements

- **Licensed health insurance agent or broker** who personally enrolls clients in **Medicare Advantage** plans
    
- Actively sold Medicare Advantage plans during the most recent Annual Enrollment Period (AEP)
    
- Work as an **independent agent, agency owner/principal, agency-employed, or tele-sales agent** (captive single-carrier employees are not eligible)
    
- Based in the **United States**
    
- Comfortable providing **voice-recorded responses**, with 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 expertise selling and enrolling clients in Medicare Advantage plans

Medicare Advantage Brokers Survey – Agent & Enrollment Insights

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

* * *

## **What You'll Do**

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

* * *

## **Basic Qualifications**

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

* * *

## **Preferred Qualifications**

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

* * *

## **Ideal Candidate Profile**

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

Audio Engineer (Speech / TTS Audio Specialist) – German

Mercor is seeking computational scientists specializing in atomistic and surface modeling to support a frontier AI research lab building models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about materials, surfaces, and chemical processes.

**Key Responsibilities:**

- Contribute domain expertise across first-principles and molecular simulation — electronic structure, surface and interface modeling, adsorption, and reaction energetics — to build high-quality training and evaluation data.
- Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy.
- Design and solve challenging, expert-level problems in atomistic and surface modeling.
- Rate and rank model outputs against defined scientific criteria, with clear written reasoning.
- Structure technical knowledge — simulation setups, methods, and results — into well-organized, model-ready data.
- Deliver reliable, high-quality work within defined timelines.

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

- Hands-on experience with atomistic modeling using first-principles or molecular methods (DFT, ab initio molecular dynamics, classical MD, or Monte Carlo).
- Experience modeling surfaces, interfaces, and adsorption or reaction phenomena (slab models, surface reconstructions, transition states, NEB, microkinetics).
- Experience modeling semiconductor-relevant materials, or a background in computational (heterogeneous) catalysis.
- Proficiency with standard tooling (e.g., VASP, Quantum ESPRESSO, CP2K, GPAW, LAMMPS, ASE, pymatgen).
- A PhD in materials science, chemistry, physics, chemical engineering, or a related field, ideally with several years of research experience beyond the PhD.
- Clear written English and the ability to explain technical reasoning concisely.

**Role Details:**

- Type: Long-term, ongoing engagement
- Engagement: Up to 40 hours/week (minimum 10)
- Work arrangement: Remote (US-based)

Atomistic & Surface Modeling Experts (Computational Materials & Catalysis)

# **Domain Expert – Legal (Lexis+ Research)**

**To qualify you must use Lexis+ regularly - weekly or more - as a working part of your job, with 2+ years of professional legal experience.**

### Lexis+ knowledge we require

**Citators / good law**

- Shepard's Citations Service: Shepard's Signal indicators (red stop sign, orange "Q" questioned, yellow caution, green positive treatment, blue "I" citing references), Depth of Discussion indicators, citing references, overruling risk _(Westlaw: KeyCite)_
    
- Distinguishing overruled, superseded, depublished, and distinguished-on-facts authority
    

**Searching & finding**

- Terms-and-connectors (Boolean) vs. natural-language search; segment searching
    
- Lexis Headnotes, Case Summaries, and Case Notes (annotated statute equivalent to Notes of Decisions)
    
- Lexis+ with Protégé - litigation issue filters, Shepard's Graphical (visual case history)
    
- Protégé natural-language / AI-assisted search
    

**Secondary sources**

- Treatises (Matthew Bender), ALR, Am. Jur., practice guides, Practical Guidance (Lexis Practice Advisor), 50-state surveys
    

**Statutes & regulations**

- Annotated statutes/regs; version comparison; historical and effective-date versions; currentness
    
- The version of the law in force on a given operative date
    

**Analytics & records**

- Litigation Analytics (Lex Machina); Brief Analysis; dockets / CourtLink / PACER
    

### What you'll do

- Confirm every case, statute, and regulation is still good law for the point cited; catch negative Shepard's treatment
    
- Catch non-existent or misdescribed cases; verify quotes, holdings, and pin cites
    
- Judge completeness: is controlling authority found; are on-point cases missed; are 50-state / multi-jurisdiction splits kept distinct
    
- Verify currency: the version of the law in force on the operative date
    
- Distinguish binding vs. persuasive authority; require verify-before-finalize
    

### Requirements

- **Frequent Lexis+ use - weekly or more - for substantive legal research in your current or recent role**
    
- **2+ years of professional legal-research experience**
    
- Reflexive Shepard's / KeyCite use; can spot a bad cite, misstated holding, or superseded statute on sight
    
- J.D. and bar admission, MLIS / law librarian, or equivalent research-heavy experience

Domain Expert – Legal (Lexis+ Research)

**Role Overview**

- Mercor is seeking senior product design and AI-assisted development professionals to build evaluation tasks for AI systems operating in rapid prototyping, product design, and human-AI collaborative coding contexts.
    
- The workflows are calibrated to the design complexity, user experience stakes, and scope of major product development and design systems work.
    
- This role builds worlds across two subdomains: a Vibecoding track (AI-assisted, natural-language-driven software development and rapid prototyping) and a Design track (product, UX/UI, and visual design systems). Experts qualified in either or both subdomains are encouraged to apply.
    
- Contributors design scenarios, draft reference outputs, and write rubrics that capture how senior product builders and designers think.
    

**Key Responsibilities**

- Construct scenarios spanning rapid prototyping and iteration cycles, design system development, and cross-functional product-design-engineering collaboration.
    
- Build tasks across AI-assisted application development, natural-language-to-code workflows, and rapid prototyping (Vibecoding); and UX/UI design, design systems and component libraries, user research, and usability testing (Design).
    
- Develop scenarios involving tools such as AI coding assistants (Cursor, Claude Code, v0, Replit) for the Vibecoding subdomain, and Figma, prototyping tools (Framer), and design systems tooling for the Design subdomain.
    
- Apply subdomain-specific methodologies (iterative prompt-driven development for Vibecoding; human-centered design principles and heuristic evaluation for Design), and produce reference prototypes, code artifacts, design specs, and usability evaluation reports.
    
- Author rubrics that distinguish authentic senior-level product judgment from generic tutorial-level or template-driven work.
    

**Ideal Qualifications**

- 5+ years working as a product designer, design lead, or AI-native engineer/vibecoder at a major product- or design-forward company (Figma, Airbnb, Notion, Linear, or a notable independent/startup product builder).
    
- Direct ownership of product design systems or AI-assisted development workflows shipped to production.
    
- Fluency in vibecoding or design tooling, plus understanding of user-centered design principles and rapid prototyping practices.
    
- A portfolio of shipped work is strongly preferred in place of a formal credential; prior rubric, training, or design critique authorship is a plus.

Design Expert

**Role Overview**

- Mercor is seeking senior cybersecurity professionals to build evaluation tasks for AI systems operating in security operations, incident response, and risk management contexts.
    
- The workflows are calibrated to the threat sophistication, business risk stakes, and scope of major enterprise security programs.
    
- This role builds worlds on two tracks: a US track (NIST Cybersecurity Framework, SOC 2) and an International track (ISO 27001, EU NIS2 Directive). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design cybersecurity scenarios, draft reference outputs, and write rubrics that capture how senior security leaders think.
    

**Key Responsibilities**

- Construct cybersecurity scenarios spanning security operations center monitoring, incident response and forensics, vulnerability management, and security architecture design.
    
- Build tasks across security operations and threat detection, incident response and digital forensics, vulnerability and penetration testing, security architecture and engineering, and governance/risk/compliance.
    
- Develop scenarios involving tools such as SIEM platforms (Splunk, Microsoft Sentinel), EDR tools (CrowdStrike), vulnerability scanners (Tenable, Qualys), and GRC platforms used at major enterprises.
    
- Apply cybersecurity methodologies (threat modeling, incident response playbooks, risk assessment) to the standards track a world targets (US: NIST CSF, SOC 2; International: ISO 27001, NIS2), and produce reference incident reports, security assessments, architecture designs, and compliance documentation.
    
- Author rubrics that distinguish authentic security judgment from generic textbook or certification-exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as a security engineer or CISO at a major company or security firm (Mandiant, CrowdStrike, or an in-house CISO/security lead).
    
- Direct ownership of incident response programs, security architecture, or compliance initiatives.
    
- Fluency in security tooling, plus understanding of regulatory frameworks and the current threat landscape.
    
- A recognized professional credential is strongly preferred (CISSP, CISM, or an international equivalent); prior rubric or training authorship is a plus.

Cybersecurity Expert

**Role Overview**

- Mercor is seeking senior FP&A professionals to build evaluation tasks for AI systems operating in financial planning, forecasting, and business analysis contexts.
    
- The workflows are calibrated to the forecasting complexity, decision stakes, and scope of major corporate financial planning functions.
    
- This role builds worlds on two tracks: a US track (US GAAP-based reporting and corporate finance conventions) and an International track (IFRS-based reporting and international corporate finance conventions). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design FP&A scenarios, draft reference outputs, and write rubrics that capture how senior FP&A leaders think.
    

**Key Responsibilities**

- Construct FP&A scenarios spanning budgeting and forecasting cycles, variance analysis and business partnering, and capital allocation and strategic planning decisions.
    
- Build tasks across financial planning and forecasting, variance analysis and reporting, business partnering, capital budgeting and investment analysis, and financial modeling.
    
- Develop scenarios involving tools such as FP&A platforms (Anaplan, Adaptive Insights, Planful), BI tools (Tableau, Power BI), and ERP systems used at large companies.
    
- Apply FP&A methodologies (driver-based forecasting, variance analysis, scenario and sensitivity modeling) to the reporting basis a world targets (US GAAP-based; IFRS-based), and produce reference financial models, forecast decks, variance reports, and business case analyses.
    
- Author rubrics that distinguish authentic FP&A judgment from generic textbook or spreadsheet-template-level work.
    

**Ideal Qualifications**

- 5+ years working as an FP&A leader, Director of FP&A, or CFO at a major company.
    
- Direct ownership of budgeting cycles, forecasting models, or capital allocation decisions.
    
- Fluency in FP&A tooling, plus understanding of corporate finance and financial modeling best practices.
    
- A recognized professional credential is a plus (CFA, MBA, or CPA); prior rubric or training authorship is a plus.

FP&A Expert

**Role Overview**

- Mercor is seeking senior accounting professionals to build evaluation tasks for AI systems operating in financial reporting, audit, and technical accounting contexts.
    
- The workflows are calibrated to the reporting complexity, materiality stakes, and scope of major public company and enterprise accounting functions.
    
- This role builds worlds on two tracks: a US track (US GAAP, PCAOB standards) and an International track (IFRS, International Standards on Auditing). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design accounting scenarios, draft reference outputs, and write rubrics that capture how senior accountants and auditors think.
    

**Key Responsibilities**

- Construct accounting scenarios spanning financial statement preparation, technical accounting research, external and internal audit processes, and complex transaction accounting (M&A, revenue recognition, leases).
    
- Build tasks across financial reporting, technical accounting and research, audit and assurance, complex transaction accounting, and internal controls/SOX compliance.
    
- Develop scenarios involving tools such as ERP systems (SAP, Oracle), consolidation software, audit management platforms, and research tools (Bloomberg Tax, RIA Checkpoint) used at major firms.
    
- Apply accounting methodologies (revenue recognition, lease accounting, consolidation) to the standards track a world targets (US: US GAAP/ASC codification, PCAOB standards; International: IFRS, ISA), and produce reference financial statements, technical accounting memos, audit workpapers, and internal control assessments.
    
- Author rubrics that distinguish authentic accounting judgment from generic textbook or CPA exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as an accountant, controller, or audit partner at a major accounting firm or corporation (Big Four, or a corporate controller/CFO).
    
- Direct ownership of financial reporting, audit engagements, or technical accounting matters.
    
- Fluency in accounting tooling, plus understanding of regulatory reporting (SEC filings) and audit standards.
    
- A recognized professional credential is strongly preferred (CPA, or an international equivalent such as ACCA or CA); prior rubric or training authorship is a plus.

Accounting Expert

**Role Overview**

- Mercor is seeking senior HR professionals to build evaluation tasks for AI systems operating in talent management, employee relations, and organizational design contexts.
    
- The workflows are calibrated to the organizational scale, compliance stakes, and scope of major workforce programs at large companies.
    
- This role builds worlds on two tracks: a US track (Title VII, FLSA, ADA, and state employment law) and an International track (UK Employment Rights Act, EU labor directives). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design HR scenarios, draft reference outputs, and write rubrics that capture how senior HR leaders think.
    

**Key Responsibilities**

- Construct HR scenarios spanning talent acquisition and workforce planning, employee relations and performance management, and compensation and benefits design.
    
- Build tasks across recruiting and talent acquisition, employee and labor relations, compensation and benefits, HR compliance and employment law, and organizational development.
    
- Develop scenarios involving tools such as HRIS platforms (Workday, SAP SuccessFactors), applicant tracking systems, and compensation benchmarking tools (Radford, Mercer) used at large organizations.
    
- Apply HR methodologies (workforce planning, compensation benchmarking, employee relations investigation) to the standards track a world targets (US: Title VII, FLSA, ADA, state law; International: Employment Rights Act, EU labor directives), and produce reference HR policies, investigation reports, compensation analyses, and organizational design proposals.
    
- Author rubrics that distinguish authentic HR judgment from generic textbook or certification-exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as an HR leader or Chief People Officer at a major company or HR consulting firm (Mercer, Korn Ferry, or in-house VP/CHRO at a large company).
    
- Direct ownership of talent programs, employee relations matters, or compensation design.
    
- Fluency in HR tooling and methodologies, plus understanding of how employment law compliance actually works.
    
- A recognized professional credential is strongly preferred (SHRM-SCP, SPHR, or an international equivalent); prior rubric or training authorship is a plus.

HR Expert

**Role Overview**

- Mercor is seeking senior regulatory law professionals to build evaluation tasks for AI systems operating in regulatory compliance and government affairs contexts.
    
- The workflows are calibrated to the regulatory complexity, enforcement stakes, and scope of major regulated-industry compliance programs.
    
- This role builds worlds on two tracks: a US track (Administrative Procedure Act and agency-specific statutes such as SEC, FDA, and FTC rules) and an International track (EU regulatory frameworks and UK regulatory bodies). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design regulatory law scenarios, draft reference outputs, and write rubrics that capture how senior regulatory counsel think.
    

**Key Responsibilities**

- Construct scenarios spanning regulatory compliance program design, agency investigations and enforcement actions, and rulemaking or comment processes.
    
- Build tasks across financial services regulation, healthcare and FDA regulation, antitrust and competition law, data privacy and cybersecurity regulation, and environmental and energy regulation.
    
- Develop scenarios involving tools such as regulatory tracking platforms, compliance management systems, and agency filing systems used across regulated industries.
    
- Apply regulatory law methodologies (regulatory interpretation, compliance risk assessment, enforcement response strategy) to the standards track a world targets (US: Administrative Procedure Act, agency-specific statutes and regulations; International: EU regulations and directives, UK regulatory frameworks), and produce reference compliance memoranda, regulatory filings, and enforcement response documents.
    
- Author rubrics that distinguish authentic regulatory judgment from generic law school or bar exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as a regulatory attorney or compliance counsel at a major law firm, regulated company, or government agency (Covington & Burling, Sidley Austin, WilmerHale, or in-house regulatory/compliance counsel at a bank, pharmaceutical company, or technology company).
    
- Direct ownership of regulatory compliance programs, agency interactions, or enforcement matters.
    
- Fluency in regulatory tooling, plus understanding of how administrative process and agency rulemaking actually work.
    
- A recognized professional credential is strongly preferred (JD with bar admission, or an international equivalent); prior rubric, training, or compliance documentation authorship is a plus.

Regulatory Law Expert

**Role Overview**

- Mercor is seeking senior public interest law professionals to build evaluation tasks for AI systems operating in civil rights, environmental, and public advocacy contexts.
    
- The workflows are calibrated to the societal stakes, regulatory scope, and community impact of major public interest litigation and advocacy campaigns.
    
- This role builds worlds on two tracks: a US track (federal civil rights statutes, NEPA, Clean Air Act and Clean Water Act) and an International track (international human rights law, EU environmental directives). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design public interest law scenarios, draft reference outputs, and write rubrics that capture how senior public interest attorneys think.
    

**Key Responsibilities**

- Construct scenarios spanning civil rights litigation, environmental compliance and enforcement, and community advocacy or policy reform processes.
    
- Build tasks across civil rights and constitutional law, environmental law and regulation, housing and consumer protection, immigration and asylum, and government accountability.
    
- Develop scenarios involving tools such as legal research platforms, case management systems used by legal aid organizations and nonprofits, and regulatory filing systems (e.g., EPA dockets).
    
- Apply public interest law methodologies (constitutional analysis, regulatory compliance review, impact litigation strategy) to the standards track a world targets (US: federal civil rights statutes, NEPA, environmental statutes; International: human rights treaties, EU directives), and produce reference legal briefs, regulatory comments, and advocacy memoranda.
    
- Author rubrics that distinguish authentic public interest legal judgment from generic law school or bar exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as a public interest attorney at a legal aid organization, advocacy nonprofit, or government agency (ACLU, Earthjustice, NRDC, Legal Aid Society, or a state attorney general's office).
    
- Direct ownership of impact litigation, regulatory advocacy, or policy reform initiatives.
    
- Fluency in public interest legal tooling, plus understanding of how regulatory processes and legislative advocacy actually work.
    
- A recognized professional credential is strongly preferred (JD with bar admission, or an international equivalent); prior rubric, training, or policy authorship is a plus.

Public Interest Law (Civil Law / Environmental Law)

**Role Overview**

- Mercor is seeking senior litigation professionals to build evaluation tasks for AI systems operating in civil litigation and dispute resolution contexts.
    
- The workflows are calibrated to the case complexity, evidentiary stakes, and procedural scope of major commercial litigation and complex disputes.
    
- This role builds worlds on two tracks: a US track (Federal Rules of Civil Procedure, Federal Rules of Evidence, state court analogs) and an International track (English Civil Procedure Rules, international arbitration rules such as ICC and LCIA). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design litigation scenarios, draft reference outputs, and write rubrics that capture how senior litigators think.
    

**Key Responsibilities**

- Construct litigation scenarios spanning pre-trial discovery, motion practice, trial strategy, and settlement or arbitration processes.
    
- Build tasks across commercial litigation, complex and class action litigation, discovery and evidence management, trial advocacy, and appellate practice.
    
- Develop scenarios involving tools such as e-discovery platforms (Relativity, Everlaw), litigation management software, and deposition/trial preparation tools used on major matters.
    
- Apply litigation methodologies (case strategy development, discovery and evidence analysis, motion drafting) to the standards track a world targets (US: FRCP, Federal Rules of Evidence, state court rules; International: CPR, international arbitration rules), and produce reference pleadings, discovery responses, motions, and trial memoranda.
    
- Author rubrics that distinguish authentic litigation judgment from generic law school or bar exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as a litigator or trial attorney at a major litigation firm or corporate litigation department (Quinn Emanuel, Gibson Dunn, Boies Schiller Flexner, Kirkland & Ellis, or in-house litigation counsel).
    
- Direct ownership of complex commercial litigation matters, with trial or arbitration experience.
    
- Fluency in litigation tooling and methodologies, plus understanding of how court procedure, discovery, and evidentiary rules actually work.
    
- A recognized professional credential is strongly preferred (JD with bar admission, or an international equivalent such as Barrister or Solicitor with advocacy rights); prior rubric or training authorship is a plus.

Litigation Expert

**Role Overview**

- Mercor is seeking senior intellectual property professionals to build evaluation tasks for AI systems operating in patent prosecution, licensing, and IP enforcement contexts.
    
- The workflows are calibrated to the technical complexity, commercial stakes, and procedural scope of major patent portfolios, licensing programs, and IP litigation.
    
- This role builds worlds on two tracks: a US track (35 U.S.C., MPEP, USPTO procedure) and an International track (European Patent Convention, PCT, WIPO treaties). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design IP scenarios, draft reference outputs, and write rubrics that capture how senior IP counsel think.
    

**Key Responsibilities**

- Construct IP scenarios spanning patent prosecution and portfolio strategy, trademark and copyright disputes, and complex licensing or technology transfer processes.
    
- Build tasks across patent prosecution, IP litigation and enforcement, trademark and copyright practice, licensing and technology transfer, and freedom-to-operate analysis.
    
- Develop scenarios involving tools such as patent search platforms (PatSnap, Innography, USPTO PatFT), IP docketing and portfolio management systems (Anaqua, CPA Global), and claim-charting tools used across major IP practices.
    
- Apply IP methodologies (patentability analysis, claim construction, freedom-to-operate review) to the standards track a world targets (US: 35 U.S.C., MPEP, Federal Circuit precedent; International: EPC, PCT, WIPO treaties), and produce reference patent applications, office action responses, licensing agreements, and litigation memoranda.
    
- Author rubrics that distinguish authentic IP judgment from generic law school or bar exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as an IP attorney or patent agent at a major IP firm or corporate IP department (Fish & Richardson, Finnegan, Wilson Sonsini, or in-house IP counsel at a technology or pharmaceutical company).
    
- Direct ownership of patent prosecution portfolios, licensing negotiations, or IP litigation matters.
    
- Fluency in IP tooling and methodologies, plus understanding of how USPTO/EPO procedure and international treaty systems actually work.
    
- A recognized professional credential is strongly preferred (JD with bar admission and USPTO patent bar registration, or an international equivalent such as European Patent Attorney); a technical/STEM background plus prior rubric or training authorship is a plus.

Intellectual Property Expert

**Role Overview**

- Mercor is seeking senior corporate law professionals to build evaluation tasks for AI systems operating in complex corporate transactions and governance contexts.
    
- The workflows are calibrated to the deal complexity, stakeholder stakes, and regulatory scope of major M&A transactions, capital markets deals, and corporate governance matters.
    
- This role builds worlds on two jurisdictional tracks: a US track (Delaware General Corporation Law, SEC regulations, Model Business Corporation Act) and an International track (UK Companies Act 2006, EU company law directives). Experts qualified in either or both tracks are encouraged to apply.
    
- Contributors design corporate law scenarios, draft reference outputs, and write rubrics that capture how senior corporate lawyers think.
    

**Key Responsibilities**

- Construct corporate law scenarios spanning large-scale M&A transactions, multi-party deal negotiation and regulatory review, and complex corporate governance or restructuring processes.
    
- Build tasks across M&A and deal structuring, securities and capital markets, corporate governance, commercial contracts, and corporate restructuring.
    
- Develop legal scenarios involving tools such as Westlaw, Lexis, virtual data rooms (Intralinks, Datasite), contract lifecycle management platforms, and document automation systems used on major transactions.
    
- Apply corporate law methodologies (deal structuring, due diligence review, regulatory filing analysis) to the jurisdictional track a world targets (US: Delaware General Corporation Law, SEC rules, Model Business Corporation Act; International: UK Companies Act 2006, EU company law directives), and produce reference legal memoranda, transaction documents, and client/regulatory-facing narratives.
    
- Author rubrics that distinguish authentic corporate law judgment from generic law school or bar exam-level recall.
    

**Ideal Qualifications**

- 5+ years working as a corporate attorney or general counsel at a major law firm, investment bank, or corporation (Wachtell, Skadden, Cravath, Latham & Watkins, Kirkland & Ellis, Sullivan & Cromwell, or in-house legal at a large public company).
    
- Direct ownership of M&A transactions, governance matters, or securities filings.
    
- Fluency in corporate law tooling and methodologies, plus understanding of how regulatory approvals (SEC review, antitrust/HSR, or an international equivalent) and board/shareholder oversight actually work.
    
- A recognized professional credential is strongly preferred (JD with bar admission, or an international equivalent such as Solicitor or Qualified Lawyer in England & Wales); prior rubric, legal training curriculum, or transaction documentation authorship is a plus.

Corporate Law Expert

We're looking for finance professionals with hands-on research experience — equity research, macro, markets/trading, credit, compliance, or adjacent.
You'll analyze real market and finance questions, grade each one and justify your scores with evidence from authoritative sources. Only apply to this listing if you have a strong background in finance. This is a long-term opportunity and has much scope for salary growth.

Finance 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 **UK-based native English speakers with a neutral, standard UK English accent** 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 a neutral, standard UK English accent, currently based in the United Kingdom**
- 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 (UK English)

We're looking for a senior mechanical engineering expert to help build a benchmark of the hardest reasoning questions in the field — questions specifically designed to be difficult enough that today's most capable AI models still get them wrong. You'll author original, free-response engineering problems grounded in real industry scenarios, write a complete expert-level solution for each, and validate difficulty by running it against three frontier language models until at least one fails.

Requirements: PhD in Mechanical Engineering, plus 8+ years of hands-on professional/industry experience in design, analysis, or R&D. Candidates from well-known/blue-chip employers preferred.

Mechanical Engineering Writer - Engineering FRQ

We're looking for a senior circuit design expert to help build a benchmark of the hardest reasoning questions in the field — questions specifically designed to be difficult enough that today's most capable AI models still get them wrong. You'll author original, free-response engineering problems grounded in real industry scenarios, write a complete expert-level solution for each, and validate difficulty by running it against three frontier language models until at least one fails.

Requirements: PhD in Electrical Engineering, plus 5+ years of hands-on professional/industry experience in analog, digital, power, or RF circuit design. Design verification roles (UVM/SystemVerilog/DV) do not qualify, regardless of tenure — we need candidates who have shipped or taped out real designs, not only simulated/verified them. Candidates from well-known/blue-chip employers preferred.

Circuit Design Writer - Engineering FRQ

We're looking for a senior CAD / mechanical design expert to help build a benchmark of the hardest reasoning questions in the field — questions specifically designed to be difficult enough that today's most capable AI models still get them wrong. You'll author original, free-response engineering problems grounded in real industry scenarios, write a complete expert-level solution for each, and validate difficulty by running it against three frontier language models until at least one fails.

Requirements: PhD in Mechanical Engineering, Aerospace Engineering, or Industrial Design (CSWP/CSWE a plus), plus 5+ years of hands-on professional/industry experience in production design roles — owning designs through GD&T, tolerance stacks, DFM, and drawing release. Pure analysis/simulation roles with no design-ownership (e.g. only running FEA, never releasing drawings) do not qualify. Candidates from well-known/blue-chip employers preferred.

CAD / Mechanical Design Writer - Engineering FRQ

We're looking for a senior materials engineering expert to help build a benchmark of the hardest reasoning questions in the field — questions specifically designed to be difficult enough that today's most capable AI models still get them wrong. You'll author original, free-response engineering problems grounded in real industry scenarios, write a complete expert-level solution for each, and validate difficulty by running it against three frontier language models until at least one fails.

Requirements: PhD in Materials Science & Engineering, Metallurgy, or a materials-focused Mechanical/Chemical Engineering discipline, plus 5+ years of hands-on professional/industry experience in materials selection, failure analysis, testing, or process development. Candidates from well-known/blue-chip employers preferred.

Materials Writer - Engineering FRQ

We're looking for a senior aerodynamics expert to help build a benchmark of the hardest reasoning questions in the field — questions specifically designed to be difficult enough that today's most capable AI models still get them wrong. You'll author original, free-response engineering problems grounded in real industry scenarios, write a complete expert-level solution for each, and validate difficulty by running it against three frontier language models until at least one fails.

Requirements: PhD in Aerospace Engineering, or Mechanical Engineering with a thermofluids/aerodynamics specialization, plus 5+ years of hands-on professional/industry experience in external aerodynamics, CFD, wind tunnel testing, propulsion, or vehicle aerodynamics. Backgrounds in rocket/satellite propulsion, structural/aeroelastic FEM, or wind-loads-on-buildings do not map to the taxonomy needed for this role. Candidates from well-known/blue-chip employers preferred.

Aerodynamics Writer - Engineering FRQ

# Domain Expert – Pharmacy (UpToDate Lexidrug)

**To qualify you must use UpToDate Lexidrug (or Lexicomp) regularly - weekly or more - as a working part of your job, with 2+ years of professional pharmacy experience.**

Lexidrug knowledge we require

**Core (required of all candidates)**

- Knows how to work a full medication-list interaction check to completion — not just confirm a single named pair, but judge severity ratings and mechanism of interaction across the whole list
    
- Knows how to weigh contraindications, boxed warnings, and warnings/precautions against a specific patient's situation, not just check whether a flag exists
    
- Knows how to distinguish "not contraindicated" from "appropriate for this patient" — and where in the monograph that second judgment actually gets made
    
- Knows how to reconcile a Special Alert against monograph content when they conflict — recognizes alerts generally take precedence until reconciled
    
- Knows how to apply renal/hepatic dose-adjustment logic and calculators correctly given current patient data (labs, weight), not just plug in numbers
    

**Specialized depth (strong working knowledge in at least 2–3 of the following)**

- Trissel's IV Compatibility (physical/chemical incompatibility vs. physiological interaction — knows these are distinct problems, not one nested in the other)
    
- Pediatric/weight-based dosing
    
- Beers Criteria / geriatric-specific precautions
    
- Pregnancy and lactation risk categories
    
- REMS and prescribing/access restrictions (controlled substance scheduling, restricted distribution programs)
    
- Therapeutic class comparison for alternatives (allergy, shortage, formulary substitution)
    
- Drug I.D. and patient education / multi-language handouts
    

What you'll do

- Confirm an interaction, dosing, or contraindication finding holds up against the patient's **full** medication list and chart — not just the two drugs named in the question
    
- Catch missed interactions, stale patient data (outdated labs/weight) driving a wrong dose, and monograph guidance superseded by a newer Special Alert
    
- Judge completeness: is the full clinical picture (all active meds, current labs, comorbidities) accounted for, or was the question scoped too narrowly
    
- Distinguish "permitted" from "appropriate" — flag when a drug clears interaction/contraindication checks but is still a poor choice for this specific patient
    
- Verify that a correct clinical conclusion is actually **carried through** — order updated, prescriber notified, chart/note documented — not just identified and left there
    

Requirements

- **Frequent Lexidrug (or Lexicomp) use - weekly or more - in your current or recent role**
    
- **2+ years of professional pharmacy experience, inpatient/hospital setting strongly preferred**
    
- Reflexive use of Interactions, Trissel's, and monograph sections; can spot a missed interaction, a stale dose calculation, or superseded guidance on sight
    
- PharmD and active pharmacy license, or equivalent verification-heavy clinical experience
    
- Strong working knowledge in at least 2–3 specialized areas above, tied to your practice setting (e.g., ICU, oncology, pediatrics, geriatrics)
    
- Comfort judging whether a correct clinical finding was properly followed through into the chart, order, and care-team communication
    
- Prior data annotation, labeling, or AI evaluation experience is a plus

Pharmacist

We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems.

## Responsibilities

- Train image classifiers and generative image models from scratch, and fine-tune open-weight language models.
- Get the most out of limited data, compute, and model-size budgets.
- Make models robust — to adversarial inputs and to adversarial conversations.
- Compress models to meet hard size and latency constraints without sacrificing accuracy.
- Diagnose and resolve training issues.

## Requirements

We are looking for candidates with strong expertise in one or more of the following areas:

**Adversarial Robustness**

Experience with:
- Adversarial training of image classifiers (e.g. PGD-based training, TRADES).
- Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking pitfalls.
- Managing the robustness–accuracy trade-off and robust overfitting.

**Efficient Computer Vision**

Experience with:
- Training image classifiers end-to-end, especially for fine-grained recognition (many visually similar classes, few examples per class).
- Model compression: quantization, pruning, and knowledge distillation from large teachers into small students.
- Deploying models under hard size or latency budgets (on-device, edge, or embedded settings).

**Generative Image Modeling**

Experience with:
- Training image generative models from scratch: diffusion models, GANs, VAEs, or flow-based models.
- Iterating against sample-quality metrics such as FID.
- Training-efficiency tricks that produce good generators quickly and at small parameter counts.

**LLM Post-Training & Behavioral Robustness**

Hands-on experience with one or more of:
- Supervised fine-tuning and preference optimisation (DPO, RLHF, RLAIF) of open-weight language models, including building your own datasets via synthetic generation, noisy or weak supervision, and rejection sampling.
- Shaping conversational behaviour over multiple turns: resistance to persuasion and sycophancy, calibrated confidence, and knowing when to accept corrections.
- Alignment-style fine-tuning that changes a specific behaviour while preserving general capability.

**Multilingual Pre-training**

Experience with:
- Training multilingual or low-resource-language models from scratch.
- Tokenizer design across scripts and typologically diverse languages.
- Balancing highly unequal per-language data (sampling temperatures, cross-lingual transfer) in data-constrained regimes.

**Additional Areas of Interest**

Experience in any of the following is a plus:
- Scaling laws and training-efficiency research.
- Curriculum learning and data ordering.
- Model evaluation: benchmark construction, contamination control, statistically sound comparisons.
- Uncertainty estimation and model calibration.
- Data augmentation and synthetic data for robustness.

## General Qualifications

- 3+ years of machine learning research experience (PhD research counts toward this requirement).
- Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
- Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.

## Why Join

- Work on cutting-edge machine learning research.
- Collaborate with leading AI researchers on challenging, high-impact projects.
- Flexible, project-based work with competitive compensation.

LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a disease-area clinician for a paid pilot, with the potential to continue as the work scales.

**Responsibilities**
- Create and critique rubrics that analyze commercial drugs and drug-development programs
- Interpret clinical trial endpoints and judge whether results would change prescribing
- Assess what that means for real-world uptake in your therapeutic area
- Apply this across the pilot's set of drugs and programs

**Requirements**
- US-based disease-area clinician (practising physician, MD/DO)
- Familiarity with biotech/pharma development programs
- Deep expertise in a specific therapeutic area
- Board-certified and actively practising in your specialty

**Engagement Details**
- Duration: Approximately 10–20 hours over a 1–2 week pilot
- Remote — US-based

**Why Participate**
- Help improve expert AI evaluation of drugs and drug-development programs
- Recurring engagement for strong contributors

Disease-Area Clinician — Trial Endpoints & Prescribing

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a pharma commercial / forecasting expert for a paid pilot, with the potential to continue as the work scales.

**Responsibilities**
- Create and critique rubrics that analyze commercial drugs and drug-development programs
- Build or critique a launch curve (uptake, peak share, trajectory)
- Judge whether a commercial forecast's assumptions (analogs, ramp, peak, loss of exclusivity) are defensible
- Apply this across the pilot's set of drug launches

**Requirements**
- US-based pharma commercial / forecasting professional (people from pharma sales teams can work here too)
- Familiarity with biotech/pharma development programs
- Experience building or critiquing drug launch / uptake models
- 5+ years in pharma commercial forecasting, analytics, or strategy

**Engagement Details**
- Duration: Approximately 10–20 hours over a 1–2 week pilot
- Remote — US-based

**Why Participate**
- Help improve expert AI evaluation of drugs and drug-development programs
- Recurring engagement for strong contributors

Pharma Commercial Forecasting Expert — Launch Curves

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a payer / market access expert for a paid pilot, with the potential to continue as the work scales.

**Responsibilities**

- Create and critique rubrics that analyze commercial drugs and drug-development programs
    
- Set and pressure-test gross-to-net and formulary-tier assumptions by drug class
    
- Judge whether coverage, rebating, and tiering assumptions reflect how payers actually behave
    
- Apply this across the pilot's set of drugs and drug classes
    

**Requirements**

- US-based payer / market access professional
    
- Familiarity with biotech/pharma development programs
    
- Hands-on with gross-to-net, rebates, and formulary tiering by drug class
    
- 5+ years in market access, pricing & reimbursement, or managed markets
    

**Engagement Details**

- Duration: Approximately 10–20 hours over a 1–2 week pilot
    
- Remote — US-based
    

**Why Participate**

- Help improve expert AI evaluation of drugs and drug-development programs
    
- Recurring engagement for strong contributors

Payer & Market Access Expert — Gross-to-Net & Formulary Strategy

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking an epidemiologist for a paid pilot, with the potential to continue as the work scales.

**Responsibilities**

- Create and critique rubrics that analyze commercial drugs and drug-development programs
    
- Size the patient population for a given drug or indication (prevalence, incidence, diagnosed → treated → addressable)
    
- Judge whether a patient-population estimate is sound and well-sourced, and flag over- or under-counting
    
- Apply this across the pilot's set of drugs and indications
    

**Requirements**

- US-based epidemiologist
    
- Familiarity with biotech/pharma development programs
    
- Experience turning real-world data (claims, EHR, registries) into patient funnels
    
- 5+ years practising epidemiology (graduate degree in epidemiology, biostatistics, or public health)
    

**Engagement Details**

- Duration: Approximately 10–20 hours over a 1–2 week pilot
    
- Remote — US-based
    

**Why Participate**

- Help improve expert AI evaluation of drugs and drug-development programs
    
- Recurring engagement for strong contributors

Epidemiologist — Patient Population Sizing

Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a biotech investment analyst (specialist-fund background) for a paid pilot, with the potential to continue as the work scales.

**Responsibilities**
- Create and critique rubrics that analyze commercial drugs and drug-development programs
- Provide overall company and asset assessment — mechanism, clinical data, competitive position, and value drivers
- Judge the quality of an investment-style thesis and flag weak, overconfident, or missing assumptions
- Apply your assessment across the pilot's set of companies (~5–10)

**Requirements**
- US-based biotech / healthcare investment analyst with a specialist-fund background
- Familiarity with biotech/pharma development programs
- Able to assess a drug asset and the company behind it end-to-end
- 5+ years evaluating biotech/pharma companies or assets

**Engagement Details**
- Duration: Approximately 10–20 hours over a 1–2 week pilot
- Remote — US-based

**Why Participate**
- Help improve expert AI evaluation of drugs and drug-development programs
- Recurring engagement for strong contributors

Biotech Investment Analyst — Drug Asset & Company Assessment

Mercor is partnering with a leading legal AI company to benchmark how well AI systems answer real questions of **Japanese law**. We are hiring experienced **in-house counsel** to serve as expert reviewers — running the same prompts through two AI platforms, comparing the answers, and scoring them against a standardized rubric.

### What you'll do

- Run the same set of prompts across **two AI (LLM) platforms**
- Compare the outputs from both platforms side by side
- Score each response against a **standardized rubric** we provide
- Submit concise written feedback for every evaluation

### Requirements

- **5+ years** as in-house legal counsel practising in **Japan**
- Strong command of Japanese law, especially **commercial and contract** matters
- Sharp attention to detail and precise written communication
- Able to work independently to a rubric and to deadlines

### Logistics

- **Initial commitment:** ~10 hours, with strong potential for more
- **Confidentiality:** all work is covered by NDA

In-House Counsel (Japan)

Mercor is partnering with a leading legal AI company to benchmark how well AI systems answer real questions of **Spanish law**. We are hiring experienced **in-house counsel** to serve as expert reviewers — running the same prompts through two AI platforms, comparing the answers, and scoring them against a standardized rubric.

### What you'll do

- Run the same set of prompts across **two AI (LLM) platforms**
- Compare the outputs from both platforms side by side
- Score each response against a **standardized rubric** we provide
- Submit concise written feedback for every evaluation

### Requirements

- **5+ years** as in-house legal counsel practising in **Spain**
- Strong command of Spanish law, especially **commercial and contract** matters
- Sharp attention to detail and precise written communication
- Able to work independently to a rubric and to deadlines

### Logistics

- **Initial commitment:** ~10 hours, with strong potential for more
- **Confidentiality:** all work is covered by NDA

In-House Counsel (Spain)

Mercor is partnering with a leading legal AI company to benchmark how well AI systems answer real questions of **German law**. We are hiring experienced **in-house counsel** to serve as expert reviewers — running the same prompts through two AI platforms, comparing the answers, and scoring them against a standardized rubric.

### What you'll do

- Run the same set of prompts across **two AI (LLM) platforms**
- Compare the outputs from both platforms side by side
- Score each response against a **standardized rubric** we provide
- Submit concise written feedback for every evaluation

### Requirements

- **5+ years** as in-house legal counsel practising in **Germany**
- Strong command of German law, especially **commercial and contract** matters
- Sharp attention to detail and precise written communication
- Able to work independently to a rubric and to deadlines

### Logistics

- **Initial commitment:** ~10 hours, with strong potential for more
- **Confidentiality:** all work is covered by NDA

In-House Counsel (Germany)

Mercor is partnering with a leading legal AI company to benchmark how well AI systems answer real questions of **French law**. We are hiring experienced **in-house counsel** to serve as expert reviewers — running the same prompts through two AI platforms, comparing the answers, and scoring them against a standardized rubric.

### What you'll do

- Run the same set of prompts across **two AI (LLM) platforms**
- Compare the outputs from both platforms side by side
- Score each response against a **standardized rubric** we provide
- Submit concise written feedback for every evaluation

### Requirements

- **5+ years** as in-house legal counsel practising in **France**
- Strong command of French law, especially **commercial and contract** matters
- Sharp attention to detail and precise written communication
- Able to work independently to a rubric and to deadlines

### Logistics

- **Initial commitment:** ~10 hours, with strong potential for more
- **Confidentiality:** all work is covered by NDA

In-House Counsel (France)

Mercor is partnering with a leading legal AI company to benchmark how well AI systems answer real questions of **UK law**. We are hiring experienced **in-house counsel** to serve as expert reviewers — running the same prompts through two AI platforms, comparing the answers, and scoring them against a standardized rubric.

### What you'll do

- Run the same set of prompts across **two AI (LLM) platforms**
- Compare the outputs from both platforms side by side
- Score each response against a **standardized rubric** we provide
- Submit concise written feedback for every evaluation

### Requirements

- **5+ years** as in-house legal counsel practising in the **United Kingdom**
- Strong command of UK law, especially **commercial and contract** matters
- Sharp attention to detail and precise written English
- Able to work independently to a rubric and to deadlines

### Logistics

- **Initial commitment:** ~10 hours, with strong potential for more
- **Confidentiality:** all work is covered by NDA

In-House Counsel (United Kingdom)

Mercor is partnering with a leading legal AI company to benchmark how well AI systems answer real questions of **Australian law**. We are hiring experienced **in-house counsel** to serve as expert reviewers — running the same prompts through two AI platforms, comparing the answers, and scoring them against a standardized rubric.

### What you'll do

- Run the same set of prompts across **two AI (LLM) platforms**
- Compare the outputs from both platforms side by side
- Score each response against a **standardized rubric** we provide
- Submit concise written feedback for every evaluation

### Requirements

- **5+ years** as in-house legal counsel practising in **Australia**
- Strong command of Australian law, especially **commercial and contract** matters
- Sharp attention to detail and precise written English
- Able to work independently to a rubric and to deadlines

### Logistics

- **Initial commitment:** ~10 hours, with strong potential for more
- **Confidentiality:** all work is covered by NDA

In-House Counsel (Australia)

We're looking for highly accomplished **Cybersecurity Research Experts** to help evaluate cutting-edge AI systems in advanced security reasoning, vulnerability analysis, exploit development, and secure software engineering. This project is ideal for practitioners with a strong track record in offensive security research and publicly recognised technical contributions.

### What You'll Do

- Evaluate AI-generated analyses of complex cybersecurity scenarios, exploits, and vulnerability reports.
    
- Review technical writeups for correctness, exploitability, and mitigation quality.
    
- Validate vulnerability root-cause analysis across software, operating systems, networking, cloud, and web applications.
    
- Provide structured feedback on security reasoning, exploit chains, and defensive recommendations.
    
- Contribute to benchmark development for advanced AI security capabilities.
    

### Ideal Background

We are looking for candidates with **multiple** of the following credentials:

- Member of a **top-ranked Capture The Flag (CTF)** team with demonstrated competitive achievements.
    
- Discoverer or co-author of **CVEs** affecting widely used open-source or commercial software.
    
- Publicly recognised **bug bounty** researcher with findings accepted by major programs (e.g., Google, Microsoft, Apple, Meta, GitHub, Mozilla, Chromium, Kubernetes, Linux Foundation, etc.).
    
- Research experience at a **well-respected security laboratory or academic research group** (e.g., KAIST Security Lab, SSLab, university security research groups, or equivalent industry research organisations).
    
- Author of high-quality **security research publications**, conference papers, or widely cited technical writeups.
    
- Strong understanding of exploit development, reverse engineering, binary analysis, vulnerability research, operating systems, networks, web security, or cryptography.
    

### Preferred Qualifications

- Professional experience in offensive security, application security, vulnerability research, product security, or security engineering.
    
- Experience with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, or Radare2.
    
- Familiarity with fuzzing, symbolic execution, static analysis, or dynamic analysis frameworks.
    
- Experience with Linux internals, Windows internals, browser security, cloud security, embedded security, or mobile security.
    
- Strong programming skills in C/C++, Rust, Python, Go, or Java.
    
- Excellent written communication and ability to explain complex security concepts clearly.
    

### Nice to Have

- Hall of Fame recognition from major bug bounty programs.
    
- Black Hat, DEF CON, USENIX Security, IEEE S&P, ACM CCS, NDSS, or similar conference presentations/publications.
    
- Maintainer or significant contributor to well-known open-source security tools.
    
- Offensive Security certifications (OSCP, OSEP, OSCE3), GIAC certifications, or equivalent credentials.
    

### Why Join?

- Work on frontier AI models tackling real-world cybersecurity problems.
    
- Collaborate with leading researchers on advanced security evaluation tasks.
    
- Help shape the next generation of AI systems for cybersecurity.

Cybersecurity Research Expert – Offensive Security & Vulnerability Research

**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 Senior Full-Stack Software Engineers with deep, hands-on production expertise across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early. This is a full-time commitment of 40 hours per week.

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

# 2\. Key Responsibilities

- Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end.
    
- Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry.
    
- Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team.
    
- Prototype quickly against shifting requirements, delivering working increments with limited up-front specification.
    
- Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation.
    

# 3\. Core Qualifications

- 6+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization, including ownership of systems end to end.
    
- Deep production experience in at least one of Python, Java, Rust, C#, or C++, plus demonstrated delivery in a second language across a different ecosystem — this cohort is intentionally staffed across multiple language ecosystems.
    
- Hands-on ownership across the stack: backend service and API design, a modern front-end framework (React or equivalent), data modelling, and cloud deployment and operations.
    
- Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up.
    
- 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.

Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++)

**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 Full-Stack Software Engineers with hands-on production experience across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early. This is a full-time commitment of 40 hours per week.

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

# 2\. Key Responsibilities

- Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end.
    
- Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry.
    
- Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team.
    
- Prototype quickly against shifting requirements, delivering working increments with limited up-front specification.
    
- Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation.
    

# 3\. Core Qualifications

- 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization.
    
- Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language — this cohort is intentionally staffed across multiple language ecosystems.
    
- Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment.
    
- Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up.
    
- 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.

Software Engineer, Full Stack (Python, Java, Rust, C#, C++)

We are seeking experienced **Netherlands Domestic Tax Specialists** to support the development and evaluation of AI systems focused on Dutch taxation. You will leverage your expertise in **Dutch domestic tax law** to answer complex tax questions, review AI-generated responses, identify inaccuracies, and provide detailed feedback to improve model performance. This is an excellent opportunity for tax professionals who enjoy solving complex tax issues while contributing to the next generation of AI-powered tax solutions.

### What You'll Do

- Answer complex questions related to **Dutch domestic tax law** using relevant legislation, case law, and official guidance.
    
- Review AI-generated tax analyses for legal accuracy, completeness, and clarity.
    
- Correct incorrect or incomplete responses and provide structured explanations.
    
- Evaluate reasoning across personal and corporate tax scenarios.
    
- Flag ambiguous, conflicting, or insufficient legal guidance where applicable.
    
- Consistently apply project rubrics and quality standards.
    
- Collaborate with calibration and feedback sessions to improve evaluation consistency.
    

### Qualifications

- 5+ years of experience advising on **Dutch domestic taxation**.
    
- Experience in a Big Four firm, tax advisory firm, law firm, corporate tax department, or the Dutch Tax Administration (Belastingdienst) preferred.
    
- Strong knowledge of Dutch Income Tax, Corporate Tax, VAT, and related domestic legislation.
    
- Ability to interpret Dutch tax statutes, regulations, and official guidance. Dutch tax professionals routinely advise on compliance, planning, disputes, and representation before the tax authorities.
    
- Excellent analytical and written communication skills.
    
- Comfortable reviewing detailed legal and tax reasoning.
    
- Native or professional fluency in **Dutch**; strong English proficiency is preferred.
    

### Preferred Qualifications

- Registered Dutch tax adviser (e.g., **NOB**, RB, or equivalent professional qualification).
    
- Master's degree in Tax Law, Fiscal Economics, Accounting, or a related discipline.
    
- Experience handling complex tax controversies or tax planning matters.
    
- Prior experience reviewing legal or tax content, conducting quality assurance, or contributing to AI/LLM evaluation projects.
    

### Why Join?

- Apply your Dutch tax expertise to cutting-edge AI systems.
    
- Work on intellectually challenging tax scenarios across multiple domains.
    
- Collaborate with a global network of legal and tax professionals.

Netherlands Domestic Tax Specialist

Mercor is seeking experimental scientists and engineers across inorganic synthesis, characterization, superconductors, and semiconductors (including advanced packaging) to support a frontier AI research lab building models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about materials, devices, and processes.

**Key Responsibilities:**

- Contribute domain expertise across synthesis, characterization, fabrication, and device physics to build high-quality training and evaluation data.
    
- Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy.
    
- Design and solve challenging, expert-level problems in your area of specialization.
    
- Rate and rank model outputs against defined scientific criteria, with clear written reasoning.
    
- Structure technical knowledge — experimental procedures, characterization results, process data — into well-organized, model-ready data.
    
- Deliver reliable, high-quality work within defined timelines.
    

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

- Hands-on experimental experience in one or more of: inorganic synthesis (solid-state, solution, solvothermal, sol-gel), superconducting materials, or semiconductors and advanced packaging.
    
- Strong materials or device characterization skills (XRD, SEM, TEM, spectroscopy, electrical/transport measurements).
    
- Experience with thin-film growth or device fabrication (MBE/epitaxy, MOCVD, CVD, sputtering, IBAD, etch, clean-room microfabrication) — a plus.
    
- An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, physics, or a related engineering field.
    
- Clear written English and the ability to explain technical reasoning concisely.
    

**Role Details:**

- Type: Long-term, ongoing engagement
    
- Engagement: Up to 40 hours/week (minimum 10)
    
- Work arrangement: Remote (US-based)

Inorganic Materials, Semiconductor & Superconductor Experts

Mercor is seeking experts in Atomic Layer Deposition (ALD) and thin-film processes to support a frontier AI research lab building models for semiconductors and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about deposition, materials, and semiconductor processes.

Key Responsibilities:

* Contribute domain expertise across ALD process development, precursor chemistry, and thin-film characterization to build high-quality training and evaluation data.
* Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy.
* Design and solve challenging, expert-level problems in ALD and semiconductor processing.
* Rate and rank model outputs against defined scientific criteria, with clear written reasoning.
* Structure technical knowledge — process parameters, recipes, characterization results — into well-organized, model-ready data.
* Deliver reliable, high-quality work within defined timelines.

You're a strong fit if you have:

* Hands-on experience developing, optimizing, or troubleshooting ALD processes.
* Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications.
* A strong grasp of precursor chemistry and surface reaction mechanisms.
* Experience with materials characterization (XRD, SEM, TEM, XPS, ellipsometry, etc.).
* An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, chemical engineering, or physics.
* Clear written English and the ability to explain technical reasoning precisely.

Role Details:

* Type: Long-term, ongoing engagement
* Engagement: Up to 40 hours/week (minimum 10)
* Work arrangement: Remote (US-based)

Atomic Layer Deposition (ALD) Experts

**About the work**
We're building a high-quality library of strategic finance work products. You'll complete self-contained exercises from mock files (market data, cost baselines, pricing schedules) and produce the deliverable for each, graded against a rubric.

**What you'll do**

- Build business cases and investment appraisals with NPV, IRR and payback for a project, product, or make-versus-buy decision.
    
- Produce capital allocation determinations ranking investments against hurdle rates with portfolio review.
    
- Build scenario and sensitivity analyses of the corporate plan across demand, pricing and cost.
    
- Analyze pricing and discount economics supporting price setting and deal desk approvals with margin impact.
    
- Produce market sizing and competitive landscape analysis, cohort and unit economics, and cost baseline and savings analysis for a cost reduction program.
    

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

- 4+ years in strategic finance, corporate strategy, or corporate planning inside an operating company.
    
- Ownership of a capital or pricing decision that went to a leadership forum.
    

**Nice to have**

- Management consulting or Big 4 strategy background now in an operator seat; growth equity background now in-house; deal desk or pricing strategy experience.
    

**Assessment**
A business case with NPV and IRR from mock project files; a pricing and margin recommendation; a capital allocation ranking.

**Note:** at some companies this seat reads as Corporate Planning or Business Analysis. Fund-side strategy roles are out of scope.

Strategic Finance Expert

**About the work**
We're building a high-quality library of corporate FP&A work products. You'll complete self-contained planning exercises from mock files (actuals, driver schedules, department budgets) and produce the deliverable for each, graded against a rubric.

**What you'll do**

- Build bottoms-up annual budgets and multi-year long-range plans with consolidation and approval paths.
    
- Produce rolling reforecasts of P&L, cash flow and KPIs reflecting actuals and updated drivers.
    
- Build headcount and capital expenditure plans with hiring pacing, project approvals, payback and prioritization.
    
- Produce monthly management reporting packs with variance commentary, and product, customer or segment profitability analysis with cost allocation methodology.
    
- Forecast revenue from bookings, pipeline coverage and demand signals, and document model drivers and assumptions.
    

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

- 4+ years in FP&A at an operating company, owning a plan or a reforecast cycle.
    
- Advanced Excel modeling and the judgment to explain a variance, not just calculate it.
    

**Nice to have**

- Finance business partnering or commercial finance experience; planning systems such as Anaplan, Adaptive or Pigment.
    

**Assessment**
A rolling reforecast from mock actuals and drivers; a management reporting pack with variance commentary; a headcount and capital expenditure plan.

**Note:** we're looking for planning and forecasting ownership, not month-end close or controllership.

**About the work**
We're building a high-quality library of corporate tax work products. You'll complete self-contained tax exercises from mock files (trial balances, intercompany agreements, deal documents) and produce the deliverable for each, graded against a rubric.

**What you'll do**

- Build quarterly and annual income tax provisions under ASC 740 with current and deferred calculations and rate reconciliation.
    
- Prepare returns and supporting workpapers across federal, state apportionment and international regimes, and forecast cash taxes by jurisdiction.
    
- Produce technical computations and studies: GILTI, FDII, BEAT, Pillar Two, 163(j) limitation, and net operating loss and attribute analysis.
    
- Build transfer pricing master file and local file documentation with intercompany agreement and policy review.
    
- Work transaction tax: diligence of exposures and attributes, structuring memos, and documented tax positions including FIN 48 reserves.
    

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

- 4+ years in corporate income tax, in-house or Big 4.
    
- Depth in at least one of: provision and compliance, international and transfer pricing, or M&A tax.
    

**Nice to have**

- CPA; JD or LLM in Taxation; EA; CTA. Tax equity and HLBV modeling experience.
    

**Assessment**
An ASC 740 provision from a mock trial balance; a transfer pricing benchmarking memo; a deal tax structuring recommendation.

**Note:** this is corporate income tax. Individual return preparation, payroll tax, and sales-tax-only backgrounds are out of scope.

Corporate Tax Expert

**About the work**
We're building a high-quality library of corporate treasury work products. You'll complete self-contained treasury exercises from mock files (bank statements, exposure schedules, credit agreements) and produce the deliverable for each, graded against a rubric.

**What you'll do**

- Build rolling 13-week direct cash forecasts with receipts, disbursements and variance explanation.
    
- Identify and net FX exposures, analyze fixed and floating rate risk, and design hedges against a corporate policy.
    
- Produce hedge designation documentation with periodic effectiveness testing.
    
- Analyze working capital performance (DSO/DPO/DIO), bank fees against services, trapped cash and repatriation options, and forecast leverage and covenant headroom.
    
- Draft or refresh treasury policy covering liquidity, FX, counterparties and investment.
    

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

- 4+ years in a corporate treasury role at an operating company.
    
- Hands-on with cash forecasting, hedging, or bank and liquidity management.
    

**Nice to have**

- CTP; ACT, AMCT or MCT; treasury management systems.
    

**Assessment**
A 13-week cash forecast from mock bank and receivables files; an FX exposure netting and hedge recommendation; a covenant headroom forecast.

**Note:** this is corporate treasury. Bank asset-liability management, funds transfer pricing and regulatory liquidity reporting are out of scope.

Corporate Treasury Expert

**About the work**
We're building a high-quality library of public-company investor relations work products. You'll complete self-contained IR exercises from mock files (results packs, shareholder registers, analyst models) and produce the deliverable for each, graded against a rubric.

**What you'll do**

- Draft earnings releases, prepared remarks and Q&A briefings for a quarterly results call.
    
- Produce guidance-setting and revision recommendations with scenario support.
    
- Build investor day and IR presentation materials, equity story and positioning decks, AGM materials, and deal announcement packages.
    
- Analyze the shareholder register and ownership base, assess activist vulnerability, and draft dividend and capital return recommendations.
    

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

- 4+ years in an in-house investor relations role at a public company.
    
- Direct ownership of an earnings cycle: release, script, Q&A, analyst engagement.
    

**Nice to have**

- IRC charter (NIRI); sell-side equity research before moving in-house; investor relations agency experience.
    

**Assessment**
An earnings release and prepared remarks from a mock results pack; a guidance revision recommendation; an activist vulnerability assessment.

**Note:** this is public-company investor relations. Investor relations at a private equity or venture fund is LP fundraising and is a different role.

Investor Relations Expert

**About the work**
We're building a high-quality library of in-house corporate development work products. You'll complete self-contained M&A exercises from mock files (CIMs, diligence reports, term sheets, board decks) and produce the deliverable for each, graded against a rubric.

**What you'll do**

- Build valuation and merger models: three-statement, DCF, trading and transaction comps, accretion-dilution, cap table and equity waterfall.
    
- Draft and compare transaction terms: IOIs, LOIs, term sheets, bid comparisons, deal structure and consideration economics.
    
- Produce process and board materials: management presentations, data packs, buyer universes, board and committee decks, closing mechanics and funds flow.
    
- Run screening, diligence and integration work: inbound deal screens, diligence request lists, findings synthesis, synergy models, carve-out analysis, 100-day plans.
    

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

- 4+ years in an in-house corporate development or M&A role at an operating company.
    
- Hands-on ownership of live transactions end to end, not support work.
    

**Nice to have**

- Investment banking or private equity background before moving in-house; Big 4 transaction advisory or financial due diligence.
    

**Assessment**
A merger model from a mock target file; a term sheet comparison; a board-ready recommendation memo.

**Note:** we're looking for in-house operators, not sell-side or advisory practitioners.

Corporate Development Expert

Write original multiple-choice questions on Danish accounting, auditing and tax for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or higher in finance, accounting or business, ideally 2+ years' experience, educated or based in Denmark, native-level Danish.

Moonlight MCQA - Danish Finance

Write original multiple-choice questions on Ukrainian law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Ukrainian equivalent, ideally 2+ years practising, educated or based in Ukraine, native-level Ukrainian.

Moonlight MCQA - Ukrainian Law

Write original general-knowledge multiple-choice questions in Czech for an AI evaluation dataset.

You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in Czechia, native-level Czech.

Moonlight MCQA - Czech Generalist

Write original general-knowledge multiple-choice questions in Norwegian for an AI evaluation dataset.

You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in Norway, native-level Norwegian.

Moonlight MCQA - Norwegian Generalist

Write original multiple-choice questions on Vietnamese law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Vietnamese equivalent, ideally 2+ years practising, educated or based in Vietnam, native-level Vietnamese.

Moonlight MCQA - Vietnamese Law

Write original multiple-choice questions on Czech law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Czech equivalent, ideally 2+ years practising, educated or based in Czechia, native-level Czech.

Moonlight MCQA - Czech Law

Write original multiple-choice questions on Norwegian law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Norwegian equivalent, ideally 2+ years practising, educated or based in Norway, native-level Norwegian.

Moonlight MCQA - Norwegian Law

Write original multiple-choice questions on Swedish law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Swedish equivalent, ideally 2+ years practising, educated or based in Sweden, native-level Swedish.

Moonlight MCQA - Swedish Law

Write original multiple-choice questions on Hungarian law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Hungarian equivalent, ideally 2+ years practising, educated or based in Hungary, native-level Hungarian.

Moonlight MCQA - Hungarian Law

Write original multiple-choice questions on Thai law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Thai equivalent, ideally 2+ years practising, educated or based in Thailand, native-level Thai.

Moonlight MCQA - Thai Law

Write original general-knowledge multiple-choice questions in Chinese (Simplified) for an AI evaluation dataset.

You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in China, native-level Chinese (Simplified).

Moonlight MCQA - Chinese (Simplified) Generalist

Write original multiple-choice questions on Danish law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Danish equivalent, ideally 2+ years practising, educated or based in Denmark, native-level Danish.

Moonlight MCQA - Danish Law

Write original multiple-choice questions on Finnish law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Finnish equivalent, ideally 2+ years practising, educated or based in Finland, native-level Finnish.

Moonlight MCQA - Finnish Law

Write original multiple-choice questions on Taiwanese or Hong Kong accounting, auditing and tax, in Chinese (Traditional), for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or higher in finance, accounting or business, ideally 2+ years' experience, educated or based in Taiwan or Hong Kong, native-level Chinese (Traditional).

Moonlight MCQA - Chinese (Traditional) Finance

Write original multiple-choice questions on Taiwanese or Hong Kong law, in Chinese (Traditional), for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or national equivalent, ideally 2+ years practising, educated or based in Taiwan or Hong Kong, native-level Chinese (Traditional).

Moonlight MCQA - Chinese (Traditional) Law

Write original general-knowledge multiple-choice questions in Chinese (Traditional) for an AI evaluation dataset.

You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in Taiwan or Hong Kong, native-level Chinese (Traditional).

Moonlight MCQA - Chinese (Traditional) Generalist

Write original multiple-choice questions on Chinese accounting, auditing and tax for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or higher in finance, accounting or business, ideally 2+ years' experience, educated or based in China, native-level Chinese (Simplified).

Moonlight MCQA - Chinese (Simplified) Finance

Write original multiple-choice questions on accounting, auditing and tax in your jurisdiction, in Arabic, for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or higher in finance, accounting or business, ideally 2+ years' experience, educated or based in an Arabic-speaking country, native-level Arabic.

Moonlight MCQA - Arabic Finance

Write original multiple-choice questions on the law of your jurisdiction, in Arabic, for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or national equivalent, ideally 2+ years practising, educated or based in an Arabic-speaking country, native-level Arabic.

Moonlight MCQA - Arabic Law

Write original general-knowledge multiple-choice questions in Arabic for an AI evaluation dataset.

You will draft exam-style questions from your own expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: master's or PhD, 2 to 6 years of professional experience, educated or based in an Arabic-speaking country, native-level Arabic.

Moonlight MCQA - Arabic Generalist

Write original multiple-choice questions on Chinese law for an AI evaluation dataset.

You will draft exam-style questions from your own professional expertise, each with ten answer options and a worked solution. Remote, flexible hours.

Requirements: law degree or Chinese equivalent, ideally 2+ years practising, educated or based in China, native-level Chinese (Simplified).

Moonlight MCQA - Chinese (Simplified) Law

We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requirements and optimizations of those systems.

You've probably:

- Owned relevance or retrieval on a system real users depended on
    
- Decided how to quantify impact and improvements with these systems.
    
- Built out systems related to agentic search.
    
- Scaled data infrastructure to power modern search systems.
    

This is a 25-minute conversational interview. No coding, no take-home. We want to hear how you actually think about search quality, evaluation, and the tradeoffs you've made in real systems. Bring war stories — the messier and more specific, the better.

If your interview stands out, we'll follow up with a paid 30-minute live conversation with our team — $200 for your time, paid on completion of the call.

If that sounds like you, apply and complete the interview. We review every submission.

Software Engineer — Agentic Search Systems

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

**Location**: Remote

**Fluent Language Skills Required:** English & Malay. Native fluency in English and Malay 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 & Malay

**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

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

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)

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

**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

### Role Overview:

Mercor is looking for detail-oriented individuals with 2-3 years of experience in STEM, non-STEM fields, or currently enrolled postgrad college students to support a research project with a leading AI lab. You will help benchmark and improve cutting-edge AI models.

### Qualifications:

- Required: All experts on this project must have a Macbook device with an ‘M’ series chip to perform tasks on.
    
- Currently pursuing or recently completed Masters studies, or have 2-3 years of relevant experience + Bachelors from a prestigious institution
    
- Strong online research and communication skills
    
- Ability to gather and clearly summarize information from diverse sources
    
- Excellent written communication skills
    
- Interdisciplinary degree is a nice to have
    
- Must have a Macbook with one of the following requirements:
    
    - Apple Silicon (ARM) Macs
        
    - M‑series MacBook Pro, or
        
    - MacBook Air models running macOS 15 or higher
        

### Job Details:

- Part-time commitment of approximately 10-20 hours per week
    
- Responsibilities include creating high-quality research questions, answers, and evaluation materials to train advanced language models
    
- Clearly structured responsibilities without the high pressure typically found in internships or full-time consulting roles
    
- Immediate start preferred
    

### Application and Onboarding Process:

- Submit your resume, followed by a brief (15-minute) conversation with our AI interviewer to assess research and reasoning skills
    
- Complete a brief paid assessment to further evaluate your fit for the role
    
- You will receive follow-up communication within a few days regarding your application status and next steps

Generalist (Macbook User)

**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

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