About the role

- Build answer keys for a multimodal search evaluation set
    
- Review photos, screenshots, documents, and conversations to define what a correct answer must contain
    
- Write the scoring standard rather than score model answers
    

What you’ll do

- Identify exact names, titles, models, venues, products, and public figures
    
- Transcribe facts, labels, and values precisely from the source
    
- Read the full conversation before writing ground truth for the final turn
    
- Include only what the evidence supports
    
- Never identify private individuals or infer sensitive attributes
    
- Flag unclear cases instead of guessing
    

You’re a good fit if you

- Are highly precise with names and numbers
    
- Can research unfamiliar subjects and find their correct formal names
    
- Follow written specifications exactly
    
- Have experience in annotation, ground truth, search relevance, cataloguing, or fact checking

Generalist Researcher

## About the role

Mercor is hiring **Corporate Designers** for Project Style — an aesthetics project in which experts review sets of AI-generated knowledge-work deliverables (decks, docs, spreadsheets, PDFs) and rework the strongest one until it's genuinely well-made, on both content and design.

Your work directly shapes how AI models produce polished, publish-ready knowledge work — the kind of output a consulting firm, investment bank, or in-house design team would send to a client without embarrassment.

## What you'll do

- Compare AI-generated versions of the same deliverable and score them across layout & spacing, typography, colour, domain realism, and polish
    
- Take the strongest candidate and rework it to reference quality
    
- Provide clear justifications tied to specific layout evidence (alignment, spacing, balance, grouping, density)
    
- Bring your design judgment to real corporate client materials
    

## You're a good fit if you

- Have a background as a designer, marketing/comms professional, or knowledge-work specialist — management consulting, investment banking, in-house corporate design, agency work, and marcom all fit
    
- Spot subtle layout inconsistencies most people miss: alignment gaps, unequal card heights, dead space, margin discipline
    
- Are opinionated about what "good" looks like in a business deliverable and can articulate it in writing
    
- Care about how work is presented, not just what it says
    

## Rate and commitment

- **$80/hour**, hourly
    
- Approximately **15 hours per week**
    
- Fully remote
    

## Screening

- Submit your resume and complete the Corporate Designer calibration assessment (~45 minutes)
    
- The assessment measures how well your ratings of real deliverables track against a calibrated answer key on the layout & spacing axis

Corporate Designer — Project Style

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Surety Underwriters & Bond Specialists to design realistic bonding, credit-analysis and bond-claim scenarios, evaluate model outputs against established market standards, and help shape how the next generation of AI reasons about contractor capacity, obligee requirements and default resolution.

We welcome contract and commercial surety underwriters, bond producers, surety claims professionals, and surety credit analysts from carriers, agencies, reinsurers and bond departments. Surety is a credit-driven discipline distinct from hazard underwriting, and this role reflects that.

## What You'll Do

- Design realistic scenarios involving bid, performance and payment bonds, single and aggregate capacity, work-in-progress analysis, indemnity and collateral, commercial and court bonds, and bond-default resolution
- Create work products such as capacity recommendations, credit analyses, bond approvals and declinations, obligee form reviews, indemnity requirements and claim-resolution strategies
- Write "golden" reference responses at experienced surety-professional quality
- Grade AI-generated responses against structured rubrics for credit judgment, capacity reasoning, contract and bond-form accuracy, and default-resolution realism
- Identify misread financial statements, overstated capacity, confusion between surety and insurance obligations, mishandled obligee requirements, and unrealistic default or recovery strategies
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in surety underwriting, bond production, surety claims, or contract-surety credit analysis
- Have worked with at least one bond category, such as contract surety, commercial surety, court and fiduciary bonds, license and permit bonds, or subdivision bonds
- Can read contractor financial statements and work-in-progress schedules and translate them into capacity and credit conclusions
- Understand the three-party surety relationship and how indemnity, collateral and subrogation differ from insurance loss payment
- Demonstrate excellent written reasoning, commercial and credit judgment, and high attention to detail
- Can distinguish surety credit decisions from property-casualty risk underwriting and ordinary claim adjudication

## Bonus Qualifications

- AFSB, CPCU, ARM, CPA, or comparable designation
- Both underwriting and surety-claims experience
- Experience with AIA and other standard bond forms, or with public-works statutory bond requirements
- Contractor default resolution: takeover, tender, financing or completion-agreement experience
- SBA bond guarantee, funds control, or small and emerging contractor program experience

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Surety Underwriter & Bond Specialist

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Disability Claims & Underwriting Specialists to design realistic disability adjudication and risk-selection scenarios, evaluate model outputs against established industry standards, and help shape how the next generation of AI reasons about disability definitions, medical and vocational evidence, and benefit entitlement.

We welcome group and individual disability claims examiners, disability underwriters, vocational rehabilitation professionals, return-to-work and absence-management specialists, and appeals reviewers from carriers, TPAs and employer-side programs.

## What You'll Do

- Design realistic scenarios involving short- and long-term disability claims, elimination periods, own-occupation and any-occupation definitions, residual and partial disability, offsets, recurrent disability and claim duration management
- Create work products such as claim determinations, benefit calculations, medical and vocational evidence summaries, transferable-skills analyses, return-to-work plans and appeal decisions
- Write "golden" reference responses at experienced disability-professional quality
- Grade AI-generated responses against structured rubrics for definitional accuracy, evidentiary support, benefit-calculation correctness and procedural fairness
- Identify misapplied disability definitions, unsupported functional conclusions, missed offsets, incorrect benefit math, and failures to document the administrative record
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in disability claims adjudication, disability underwriting, vocational rehabilitation, or leave and absence management
- Have worked with at least one program type, such as group short-term disability, group long-term disability, individual disability income, statutory disability, or life waiver of premium
- Understand how contract definitions, elimination periods, offsets, pre-existing-condition provisions and maximum benefit periods determine entitlement and duration
- Can weigh medical, occupational and financial evidence and articulate a defensible determination with a documented rationale
- Demonstrate excellent written analysis, balanced judgment and high attention to detail
- Can distinguish claim adjudication from treating-provider clinical decisions and from formal legal advice

## Bonus Qualifications

- CRC, CDMS, CCM, CPDM, RN, or comparable clinical or vocational credential
- Experience with ERISA administrative records, appeals or litigation support
- Individual disability income underwriting, including occupation class and financial underwriting
- Social Security, workers compensation or other-income offset coordination experience
- Experience with FMLA, state leave programs or ADA accommodation interaction

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Disability Claims & Underwriting Specialist

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Life & Annuity Specialists to design realistic advisory, underwriting and policy-service scenarios, evaluate model outputs against established industry standards, and help shape how the next generation of AI reasons about mortality risk, long-horizon guarantees and suitability.

We welcome life and annuity producers, advisors, life underwriters, new-business and policy-service professionals, product specialists, and suitability or replacement reviewers from carriers, brokerage general agencies, IMOs, and independent practices.

## What You'll Do

- Design realistic scenarios involving needs analysis, product selection, illustrations, medical and financial underwriting, table ratings, replacements and 1035 exchanges, policy loans, surrenders, lapse and reinstatement
- Create work products such as coverage recommendations, illustration comparisons, underwriting assessments, suitability rationales, replacement analyses and policy-service determinations
- Write "golden" reference responses at experienced life and annuity practitioner quality
- Grade AI-generated responses against structured rubrics for product accuracy, suitability, mathematical correctness and disclosure adequacy
- Identify unsupported illustration assumptions, unsuitable recommendations, confusion between product types or tax treatments, and failures to apply replacement or disclosure requirements
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in life insurance or annuity advisory, underwriting, new business, policy administration, product, or suitability review
- Have worked with at least one product family, such as term, whole life, universal or indexed universal life, variable life, or fixed, indexed and variable annuities
- Understand how policy mechanics (cost of insurance, crediting, caps and participation rates, surrender charges, riders and guarantees) drive long-term outcomes
- Can explain tax treatment and suitability considerations clearly, and recognize when licensed or legal review is required
- Demonstrate excellent written communication, quantitative care and high attention to detail
- Can distinguish product and suitability judgment from investment advice and formal tax or legal advice

## Bonus Qualifications

- CLU, ChFC, FLMI, CFP, or comparable designation
- Active or previously held life and health producer license, or securities registration
- Medical or financial life underwriting experience, including APS review, lab interpretation or reinsurance referral
- Experience with buy-sell, key-person, estate-planning, premium-finance or executive-benefit cases
- Experience with suitability, Reg BI, or state replacement and disclosure review

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Life & Annuity Specialist

## About the Role

Mercor is partnering with a leading language-learning platform to recruit experienced Spanish tutors for a short-term project involving recorded, one-on-one tutoring sessions. Tutors will conduct genuine Spanish lessons with native English-speaking learners at different proficiency levels. The goal is to produce natural, high-quality conversations that reflect authentic language-learning experiences.

## What You'll Do

- Lead engaging, one-on-one Spanish tutoring sessions.
    
- Adapt lessons to each learner's proficiency level and assigned topics.
    
- Encourage natural, substantive back-and-forth conversation.
    
- Follow the provided lesson structure and project instructions.
    
- Conduct sessions
    
- Keep sessions focused and avoid extended dead air or off-topic conversation.
    

Sessions must run for at least 20 minutes and will generally last 20–30 minutes.

## Who Should Apply

- Fluent Spanish speakers with strong verbal communication skills.
    
- Bachelor's degree or higher.
    
- At least three years of Spanish teaching or tutoring experience.
    
- Experience teaching native English speakers at different proficiency levels.
    
- Ability to adapt lesson structure and communication style to individual learners.
    
- Reliable availability and a strong record of punctuality.
    
- Comfort participating in recorded online sessions.
    

Tutors from a range of Spanish-speaking backgrounds, including Spain, Mexico, and other regions, are encouraged to apply.

## Project Details

- Duration: Approximately three weeks.
    
- Commitment: Approximately seven hours per week.
    
- Format: Remote, scheduled one-on-one sessions.

Spanish Tutors

**Summary**

You send us footage and a brief, we send you back a finished edit, free of charge. No cost, no upsell, no catch. We have talented video editors on standby who are ready to help and can ensure that your videos are delivered back to you within the time constraints you provide.

**What You'll Get**

A completed edit of your footage, built to the brief you give us, free.

**What We Need From You**

- **The raw footage.** Everything you'd hand a freelance editor: all usable clips, b-roll, separate audio, logos, graphics, any assets you want included.
    
- **A detailed brief.** The more specific, the better the result. Useful things to include:
    
    - Where it's going (Instagram, YouTube, your website, a trade show loop) and target length
        
    - Tone and pacing — punchy and fast, calm and documentary, something else
        
    - Music preferences, or whether you're supplying a track
        
    - Captions or subtitles, and in what style
        
    - Brand colors, fonts, logo placement
        
    - Moments that must stay in, and anything that must come out
        
    - One or two example videos whose style you like
        
    - Any deadline you're working toward
        

**How Your Footage Is Used**

We want to be explicit about this:

- **Your footage is used to evaluate AI model capabilities on real-world editing tasks — how well models handle an actual brief with actual material.**
    
- **Your footage is not used as training data.**
    
- **It isn't resold, published, or shared outside this evaluation work.**
    

**Who This Is For**

Small businesses, solo creators, nonprofits, and anyone sitting on footage they haven't had the time, budget, or software to turn into something finished. No prior editing experience needed — you don't have to know the terminology, just what you want the video to feel like.

**Before You Submit**

Please confirm you own the footage or have the rights to use it, and that anyone clearly identifiable in it has agreed to appear

Free Video Editing For Small Businesses and Creators

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Brand Marketing environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in brand marketing, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Brand Marketing scope

Brand and share-of-voice analysis, messaging consistency across regions and channels, distinctive asset management, and channel and tactic decisions.

## Who we are looking for

- Hands-on practitioner experience in brand marketing — you have owned positioning, brand tracking and brand investment decisions
- Comfortable reading brand tracking studies, share-of-voice data and Google Analytics 4
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Brand Marketing (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Field Marketing environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in field marketing or events, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Field Marketing scope

Event follow-up, sponsorship decisions, regional pipeline recovery, and joint planning against a named account list.

## Who we are looking for

- Hands-on practitioner experience in field marketing or events — you have run a region against a sales number, not only executed logistics
- Comfortable in a CRM such as Salesforce and a project tracker such as Asana or Linear
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Field Marketing (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Marketing Operations environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in marketing operations, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Marketing Operations scope

Lead routing, workflow design, campaign operations, agency and process transitions, and orchestration across the marketing and sales stack.

## Who we are looking for

- Hands-on practitioner experience in marketing operations — you have built the routing rules, the workflows and the reporting yourself
- Fluent in a CRM such as Salesforce, a marketing automation platform, a project tracker such as Asana or Linear, and a support tool such as Zendesk or Intercom
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Marketing Operations (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Lifecycle environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in lifecycle or CRM marketing, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Lifecycle scope

Contact strategy, milestone campaigns, customer communications, deliverability and list health, and lifecycle portfolio optimization.

## Who we are looking for

- Hands-on practitioner experience in lifecycle, CRM or retention marketing — you have owned the sending program and its incrementality, not only managed people who do it
- Comfortable across an ESP, a CRM such as Salesforce, and product analytics such as Amplitude
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Lifecycle (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the PR and Communications environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in PR or communications, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## PR & Communications scope

Media pitching, embargo and exclusive strategy, announcement sequencing, interview preparation, coverage evaluation, corrections, and launch communications.

## Who we are looking for

- Hands-on practitioner experience in PR or corporate communications — you have pitched reporters, run embargoes and handled corrections yourself
- Comfortable working across email, shared drives and a project tracker as a comms workflow
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — PR & Communications (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Creator and Influencer environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done running creator programs, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Creator & Influencer scope

Creator discovery and evaluation, influencer program decisions, seeding and campaign execution, usage rights and disclosure judgment, and share-of-voice contribution.

## Who we are looking for

- Hands-on practitioner experience running creator or influencer programs — you have selected, negotiated with and measured creators yourself
- Comfortable with creator platforms, paid amplification through creator handles, and the disclosure rules that govern the work
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Creator & Influencer (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Social Media environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in social media, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Social Media scope

Social inbox management, campaign and publishing execution, share-of-voice analysis, and the response judgment calls that come with an owned brand channel.

## Who we are looking for

- Hands-on practitioner experience running brand social — you have owned the account and the inbox, not only managed people who do it
- Fluent in a social management platform such as Sprout Social, and comfortable reading native platform analytics
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Social Media (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Content Marketing environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in content marketing, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Content Marketing scope

Research and discovery, editorial prioritization, content production, and content QA and audit.

## Who we are looking for

- Hands-on practitioner experience in content marketing — you have owned an editorial program end to end, not only managed people who do it
- Comfortable working in a CMS such as Contentful, alongside Google Analytics 4 and a research tool such as Semrush
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Content Marketing (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Product Marketing environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in product marketing, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Product Marketing scope

Win/loss analysis, positioning, launch readiness and launch execution, adoption analysis, and competitive response.

## Who we are looking for

- Hands-on practitioner experience in product marketing — you have owned launches, positioning and enablement, not only managed people who do it
- Comfortable working across a CRM such as Salesforce, product analytics such as Amplitude, and a project tracker such as Asana or Linear
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Product Marketing (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Paid Growth environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in paid acquisition, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Paid Growth scope

Campaign performance diagnosis, budget allocation, funnel and pipeline diagnosis, lead recovery, account-based marketing, and web and pricing journey optimization.

## Who we are looking for

- Hands-on practitioner experience running paid acquisition — you have owned budget and results, not only managed people who do it
- Fluent in the tools of the domain: Google Ads, Meta Ads, and Google Analytics 4
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Paid Growth (AI Agent Environments)

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Marketing Analytics environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in marketing analytics, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Marketing Analytics scope

Anomaly detection, channel-performance synthesis, cross-source reconciliation, attribution and incrementality reading, and reporting that supports an actual decision.

## Who we are looking for

- Hands-on practitioner experience in marketing analytics — you have owned this work, not only managed people who do it
- Fluent in the tools of the domain: Google Analytics 4, a product analytics tool such as Amplitude, a CRM such as Salesforce, and ad platform reporting
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Marketing Analytics (AI Agent Environments)

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

# Overview

We're seeking an experienced interviewer to help vet shortlisted engineers across GPU kernel development, security & vulnerability research, and ML-compiler / accelerator domains for an AI model training-and-evaluation engagement. You'll run short, structured interviews and give our team a clear, evidence-based read on each expert's fit.

# What You'll Do

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

# What We're Looking For

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

**Equal Employment Opportunity:** We are proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, political views or activity, or any other legally protected characteristic.

Expert Interviewer

## About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Organic Growth environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

## What you will do

- Design task briefs drawn from work you have actually done in organic growth, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
- Specify the documents, dashboards, personas and tool states a realistic version of that task requires
- Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
- Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

## Organic Growth scope

Search and answer-engine visibility, content-led acquisition, technical and on-page diagnosis, keyword and topic prioritization, web and pricing journey optimization, and funnel diagnosis on organic traffic.

## Who we are looking for

- Hands-on practitioner experience in organic growth or SEO/AEO — you have owned this work, not only managed people who do it
- Fluent in the tools of the domain: Google Analytics 4, Google Search Console, Semrush or Ahrefs, and a CMS such as Contentful
- Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
- Rubric Academy or Rubric Bootcamp certification is strongly preferred
- Clear written reasoning — much of the value is in explaining why a decision is right

## Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.

Marketing Expert — Organic Growth (AI Agent Environments)

Evaluate the quality, correctness, and hardware-appropriateness of Neuron Kernel Interface (NKI) development tasks used to train and evaluate a frontier AI lab's models. You'll assess CUDA→NKI migration fidelity, Trainium-specific performance-optimization quality, and cross-platform numerical-correctness standards — and provide clear, rubric-based written feedback.

Basic Qualifications
• 2+ years of hands-on experience developing or optimizing kernels using the Neuron Kernel Interface (NKI) targeting AWS Trainium/Inferentia2 hardware
• Strong understanding of NKI-specific development patterns: tile-based computation, SBUF/PSUM/HBM memory-hierarchy management, partition-dimension constraints, and DMA orchestration
• Demonstrated experience assessing CUDA→NKI migration quality
• Familiarity with Trainium-specific performance profiling (NeuronCore pipeline utilization, tensor-engine throughput, memory-bandwidth bottlenecks)
• Experience defining or evaluating cross-platform numerical-correctness standards (GPU vs Trainium accumulation order, rounding behavior, mixed-precision semantics)

Preferred Qualifications
• Direct experience with AWS Neuron SDK, Neuron Compiler internals, or contributions to NKI kernel libraries
• Prior CUDA or Triton kernel development
• Familiarity with Trainium hardware specifications (NeuronCore-v2 architecture, on-chip SRAM topology, supported data types: FP32/BF16/FP8/INT8)
• Experience benchmarking ML training workloads on Trn1/Trn2 instances

Trainium (NKI) Kernel Expert

Evaluate the quality, correctness, and completeness of GPU/accelerator kernel development tasks used to train and evaluate a frontier AI lab's models. You'll assess numerical correctness, performance-benchmarking fairness, task scoping, and compilation/runtime validity across diverse kernel task types — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years of hands-on experience developing, optimizing, or verifying GPU/accelerator kernels in at least two of: CUDA, Triton, NKI, or Pallas (JAX)
• Strong understanding of numerical-correctness criteria for kernels (absolute/relative/ULP tolerances, reference-implementation selection)
• Demonstrated experience with performance profiling and benchmarking (nsight, ncu, roofline analysis, or framework-native profilers)
• Familiarity with common compilation and runtime failure modes (driver mismatches, OOM, launch-configuration errors, shape/stride mismatches, autotuning failures)
• Experience with at least three kernel task types: generation from specification, translation/lowering across frameworks, migration between hardware targets, debugging, performance optimization, or operator fusion

Preferred Qualifications
• Experience across both NVIDIA GPU (CUDA/Triton) and custom-accelerator (NKI/Pallas/TPU) ecosystems
• Background in compiler engineering, MLIR, or intermediate-representation lowering
• Understanding of memory-hierarchy optimization (shared-memory tiling, register pressure, bank conflicts, coalescing patterns)
• Contributions to kernel libraries (cuBLAS, cuDNN, Triton community kernels, JAX/XLA custom calls)

GPU Kernel Expert

Evaluate the quality, fidelity, and completeness of vulnerability-reproduction and remediation tasks used to train and evaluate a frontier AI lab's models. You'll assess whether CVE reproductions are faithful, fixes are sound, verification logic is rigorous, and Docker-based lab environments accurately recreate exploitable conditions — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years of hands-on experience in application security, penetration testing, or vulnerability research
• Strong understanding of CVE vulnerability taxonomy and severity frameworks (CVSS, CWE, CAPEC)
• Demonstrated expertise in secure coding and remediation across common vulnerability classes (SQL injection, command injection, buffer overflow, deserialization, SSRF, misconfigurations, privilege escalation)
• Experience designing or evaluating two-part verification logic (functionality tests + vulnerability tests)
• Proficiency with Docker and Docker Compose for multi-container vulnerability reproduction environments

Preferred Qualifications
• OSCP, GPEN, GWAPT, or equivalent offensive-security certification
• Experience with CVE disclosure, responsible vulnerability reporting, or maintaining exploit proof-of-concept code
• Background in DevSecOps, CI/CD security gating, or SAST/DAST tooling
• Prior technical content review, assessment design, or QA for security-focused engineering tasks

CVE Vulnerability Expert

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Insurance Data and Operations Specialists to design realistic analytics, reporting, workflow, and quality-control scenarios, evaluate model outputs against established operational standards, and help shape how the next generation of AI reasons about insurance data and process performance.

We welcome insurance business analysts, operations analysts, data analysts, reporting specialists, quality leaders, and transformation professionals from carriers, health plans, MGAs, TPAs, brokers, and insurance technology organizations.

## What You'll Do

- Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data
    
- Create work products such as metric definitions, data-quality assessments, workflow analyses, dashboard requirements, operational reports, root-cause analyses, and process-improvement recommendations
    
- Write "golden" reference responses at experienced insurance data and operations quality
    
- Grade AI-generated responses against structured rubrics for data interpretation, metric consistency, process understanding, feasibility, and communication
    
- Identify incorrect denominators, misleading aggregations, inconsistent definitions, data-lineage gaps, workflow bottlenecks, and conclusions not supported by the available evidence
    
- Provide written feedback the research team uses to improve model behavior
    
- Participate in onboarding office hours and calibration sessions
    

## You're a Good Fit If You

- Have 2+ years of professional experience in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement
    
- Understand at least one insurance operating domain, such as underwriting, policy administration, claims, distribution, health-plan operations, reinsurance, or compliance
    
- Have translated business questions into metrics, reporting requirements, data definitions, workflow changes, or operational controls
    
- Can analyze a process without substituting for the underwriter, adjuster, clinician, actuary, or compliance specialist responsible for the substantive decision
    
- Demonstrate excellent analytical writing, structured problem-solving, and high attention to detail
    
- Are proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool
    

## Bonus Qualifications

- Experience with SQL, Python, R, Tableau, Power BI, Looker, or insurance data platforms
    
- Lean, Six Sigma, project-management, business-analysis, or data-governance credential
    
- Experience with policy, billing, claims, CRM, provider, or member-administration systems
    
- Data governance, model governance, audit, or operational quality experience
    
- Experience developing KPIs, service-level metrics, or executive reporting
    

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
    
- Role starts immediately, applications reviewed on a rolling basis

Insurance Data & Operations Specialist

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Reinsurance and Program Business Specialists to design realistic risk-transfer and delegated-authority scenarios, evaluate model outputs against established market standards, and help shape how the next generation of AI reasons about treaty structures, facultative placements, MGAs, fronting, and alternative risk arrangements.

We welcome professionals from reinsurers, cedents, reinsurance brokers, MGAs, MGUs, program administrators, fronting carriers, captive managers, and Lloyd's market participants.

## What You'll Do

- Design realistic scenarios involving treaty and facultative reinsurance, attachment and exhaustion, cessions, recoverables, bordereaux, delegated authority, program governance, fronting, captives, and risk participation
- Create work products such as structure comparisons, submission analyses, contract summaries, program reviews, counterparty assessments, and risk-transfer recommendations
- Write "golden" reference responses at experienced reinsurance and program-business quality
- Grade AI-generated responses against structured rubrics for structural accuracy, contract logic, financial understanding, stakeholder roles, and market realism
- Identify misunderstandings of layers, limits, retentions, commissions, claims control, collateral, counterparty exposure, and carrier-MGA responsibilities
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in reinsurance, program business, delegated authority, fronting, captive insurance, or alternative risk transfer
- Understand at least one of the following: treaty reinsurance, facultative reinsurance, MGA/MGU programs, Lloyd's arrangements, captives, or fronted programs
- Can identify the economic and operational responsibilities of cedents, reinsurers, brokers, MGAs, fronting carriers, and insureds
- Understand how contract structure changes risk transfer, earnings, collateral, claims handling, and reporting
- Demonstrate excellent written reasoning, commercial judgment, and high attention to detail
- Can distinguish reinsurance decisions from direct underwriting and ordinary claim adjudication

## Bonus Qualifications

- CPCU, ARe, ARM, ACAS, FCAS, or comparable designation
- Both ceded and assumed reinsurance experience
- Reinsurance broking, treaty wording, recoverables, or claims experience
- Program audit, delegated-authority, or bordereaux-management experience
- Captive, large-deductible, retrospective-rating, or risk-sharing experience

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Reinsurance & Program Business Specialist

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring P&C Actuaries and Portfolio Risk Managers to design realistic pricing, reserving, forecasting, and portfolio-management scenarios, evaluate model outputs against established actuarial standards, and help shape how the next generation of AI reasons quantitatively about insurance risk.

We welcome pricing actuaries, reserving actuaries, portfolio analysts, catastrophe-risk professionals, and actuarial managers from carriers, reinsurers, MGAs, and consulting firms.

## What You'll Do

- Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration
- Create work products such as pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations
- Write "golden" reference responses at experienced actuarial and portfolio-risk quality
- Grade AI-generated responses against structured rubrics for mathematical accuracy, assumption quality, methodology, interpretation, and communication
- Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusing correlation with causation, and recommendations not supported by the data
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management
- Have performed quantitative analysis using insurance premium, exposure, claim, loss, or reserve data
- Understand the difference between account-level underwriting judgment and portfolio-level actuarial analysis
- Can explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences
- Demonstrate strong quantitative reasoning, excellent written communication, and high attention to detail
- Are proficient with spreadsheets and at least one analytical or statistical tool

## Bonus Qualifications

- ACAS, FCAS, or active progress toward CAS credentials
- Experience with personal, commercial, specialty, or reinsurance portfolios
- Catastrophe modeling, capital modeling, predictive modeling, or rate-filing experience
- Proficiency with SQL, R, Python, SAS, or actuarial modeling platforms
- Experience presenting results to underwriting, finance, claims, or executive stakeholders

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

P&C Actuary & Portfolio Risk Manager

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Insurance Regulatory Compliance Specialists to design realistic compliance and regulatory-operations scenarios, evaluate model outputs against established industry standards, and help shape how the next generation of AI reasons about insurer obligations, market conduct, filings, controls, and regulatory reporting.

We welcome compliance professionals from carriers, health plans, MGAs, TPAs, brokerages, consulting firms, and regulatory agencies. This role focuses on practical insurance compliance and regulatory operations.

## What You'll Do

- Design realistic scenarios involving state insurance requirements, market conduct, rate and form filings, licensing, consumer notices, complaint handling, privacy, reporting, audits, and corrective action
- Create work products such as compliance assessments, control recommendations, filing checklists, regulatory-response plans, monitoring procedures, and remediation summaries
- Write "golden" reference responses at experienced insurance-compliance quality
- Grade AI-generated responses against structured rubrics for regulatory accuracy, operational feasibility, jurisdictional awareness, and appropriate escalation
- Identify overbroad legal conclusions, missing jurisdictional caveats, inadequate controls, incorrect reporting obligations, and matters requiring review by counsel
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in insurance compliance, regulatory affairs, market conduct, filings, licensing, audit, or risk and controls
- Understand how insurance requirements vary by line of business, product, stakeholder, and jurisdiction
- Have interpreted regulatory guidance and translated it into policies, procedures, controls, or operational requirements
- Can distinguish compliance analysis from legal advice and recognize when counsel should be consulted
- Demonstrate excellent written communication, research discipline, and high attention to detail
- Are comfortable documenting the basis, scope, assumptions, and limitations of a compliance conclusion

## Bonus Qualifications

- CPCU, CCEP, CHC, LOMA, AHIP, or comparable designation
- Prior insurance-department, market-conduct examination, or regulatory-audit experience
- Rate/form filing, surplus-lines, producer licensing, or health-plan compliance experience
- Experience across multiple states or federal and state programs
- Experience designing compliance monitoring or corrective-action programs

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Insurance Regulatory Compliance Specialist

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Complex Claims and Coverage Directors to design high-severity and coverage-sensitive claim scenarios, evaluate model outputs against established senior claims standards, and help shape how the next generation of AI reasons about disputed coverage, litigation strategy, allocation, and major-loss resolution.

We welcome senior carrier claims professionals, complex-claims leaders, coverage specialists, and technical claim directors. This is an insurance-practitioner role and does not require a law degree or license to practice law.

## What You'll Do

- Design realistic scenarios involving disputed coverage, reservations of rights, excess exposure, multiple insureds, multiple carriers, allocation, litigation, mediation, bad-faith risk, and high-severity settlement strategy
- Create work products such as complex claim strategies, coverage-position analyses, authority requests, litigation-management plans, reserve rationales, and escalation recommendations
- Write "golden" reference responses at senior technical claims quality
- Grade AI-generated responses against structured rubrics for policy analysis, strategic judgment, factual support, stakeholder awareness, and escalation discipline
- Identify claim-handling positions that are internally inconsistent, unsupported by the record, operationally unrealistic, or outside the authority of a non-lawyer claims professional
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience handling complex, litigated, high-severity, or coverage-sensitive insurance claims
- Have evaluated coverage issues and developed claim strategies involving multiple parties, layers, policies, or jurisdictions
- Understand insurer duties, reservation-of-rights practices, litigation management, settlement authority, and escalation to internal or external counsel
- Can distinguish an operational coverage position from formal legal advice and recognize when specialized legal review is required
- Demonstrate exceptional written reasoning, defensible judgment, and high attention to detail
- Are comfortable reviewing incomplete records and clearly separating facts, assumptions, open issues, and recommended next steps

## Bonus Qualifications

- CPCU, AIC, SCLA, ARM, or comparable insurance designation
- Experience with excess casualty, professional liability, directors and officers, cyber, environmental, construction-defect, or other complex lines
- Experience managing mediations, trials, coverage disputes, or extra-contractual exposure
- Home-office technical claims or claim-governance experience
- Experience overseeing TPAs, independent adjusters, experts, or panel counsel

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Complex Claims & Coverage Director

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Senior Multiline Claims Examiners to design realistic claim-handling scenarios, evaluate model outputs against established claims standards, and help shape how the next generation of AI reasons about coverage, investigation, evaluation, settlement, and claim resolution.

We welcome carrier examiners, desk adjusters, field adjusters, TPA professionals, and independent adjusters with experience handling property, auto, casualty, or specialty P&C claims.

## What You'll Do

- Design realistic claims scenarios involving first notice of loss, coverage verification, investigation, documentation, reserving, damage evaluation, negotiation, settlement, subrogation, salvage, and closure
- Create work products such as claim action plans, coverage analyses, investigation requests, evaluation summaries, settlement recommendations, and insured communications
- Write "golden" reference responses at experienced claims-professional quality
- Grade AI-generated responses against structured rubrics for factual accuracy, policy application, claim-handling judgment, and procedural completeness
- Identify premature conclusions, missing investigative steps, unsupported valuations, improper communications, and failures to distinguish covered damage from excluded or unrelated loss
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional P&C claims handling, adjusting, or examining experience
- Have independently handled claims in at least one area, such as property, auto physical damage, bodily injury, general liability, commercial casualty, catastrophe, or specialty claims
- Understand the claim lifecycle from intake and investigation through evaluation, resolution, recovery, and closure
- Can read and apply policy language to claim facts while recognizing when escalation is required
- Demonstrate excellent written analysis, balanced judgment, and high attention to detail
- Can distinguish ordinary claim adjudication from complex coverage, litigation, regulatory, and actuarial work

## Bonus Qualifications

- AIC, CPCU, SCLA, or comparable insurance designation
- Multiline or multistate claims experience
- Catastrophe, represented bodily injury, litigation, subrogation, SIU, or large-loss exposure
- Experience supervising independent adjusters, experts, vendors, or defense counsel
- Active or previously held adjuster license

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Senior Multiline Claims Examiner

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Policy Administration and Insurance Operations Managers to design realistic policy-processing and servicing scenarios, evaluate model outputs against established operational standards, and help shape how the next generation of AI reasons about the insurance policy lifecycle.

We welcome carrier, MGA, TPA, and insurance-services professionals who have managed or performed policy issuance, endorsements, billing, renewals, cancellations, document production, quality control, or related servicing workflows.

## What You'll Do

- Design realistic scenarios involving application intake, binding, issuance, endorsements, certificates, billing, audits, renewals, cancellations, reinstatements, and policy-document delivery
- Create work products such as processing instructions, transaction reviews, exception-handling plans, service communications, and operational quality checks
- Write "golden" reference responses at experienced insurance-operations quality
- Grade AI-generated responses against structured rubrics for procedural accuracy, completeness, sequencing, and adherence to service standards
- Identify incorrect effective dates, missing documentation, improper transaction handling, and confusion between operational processing and substantive underwriting decisions
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in policy administration, underwriting operations, insurance servicing, premium operations, or policy-processing management
- Understand the chronological policy lifecycle from intake and binding through issuance, servicing, renewal, termination, and record retention
- Have hands-on experience with policy administration systems, workflow queues, transaction controls, or quality-assurance processes
- Can translate policy and procedural requirements into precise operational steps
- Demonstrate excellent written communication, process discipline, and high attention to detail
- Can distinguish administrative execution from underwriting, claims, legal, and actuarial decisions

## Bonus Qualifications

- Experience across multiple P&C lines or insurance platforms
- Billing, premium audit, producer licensing, or forms-management experience
- Experience implementing or testing a policy administration system
- Lean, Six Sigma, project-management, or operations credential
- Experience leading service teams or establishing operational controls

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Policy Administration & Insurance Operations Manager

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Multiline Property & Casualty Underwriters to design realistic risk-selection and underwriting scenarios, evaluate model outputs against established underwriting standards, and help shape how the next generation of AI reasons about insurability, pricing, coverage terms, and portfolio fit.

We welcome carrier, MGA, MGU, and program underwriters with experience across personal, commercial, or specialty P&C products. Candidates should have direct authority or meaningful responsibility for evaluating and selecting risks.

## What You'll Do

- Design realistic underwriting scenarios involving new business, renewals, exposure analysis, loss history, inspections, classification, pricing, limits, deductibles, exclusions, and referral decisions
- Create work products such as underwriting assessments, quote rationales, information requests, declination explanations, renewal strategies, and risk-improvement requirements
- Write "golden" reference responses at experienced underwriter quality
- Grade AI-generated responses against structured rubrics for technical accuracy, consistency, risk judgment, and adherence to underwriting guidelines
- Identify unsupported assumptions, inadequate risk differentiation, incorrect use of policy terms, and inappropriate acceptance or declination decisions
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional P&C underwriting experience
- Have underwritten at least one major segment, such as personal lines, commercial property, general liability, commercial auto, package, umbrella/excess, professional liability, cyber, or another specialty line
- Understand the underwriting lifecycle from submission and assessment through quotation, binding, renewal, and nonrenewal
- Can explain how account characteristics, jurisdiction, peril, loss experience, and market conditions affect underwriting decisions
- Demonstrate strong written reasoning, sound risk judgment, and high attention to detail
- Can separate underwriting decisions from claims handling, brokerage advice, and actuarial portfolio analysis

## Bonus Qualifications

- CPCU, AU, ARM, or comparable insurance designation
- Multiline underwriting authority
- E&S, MGA/MGU, Lloyd's, or program-business experience
- Catastrophe-exposed property or high-severity casualty experience
- Experience with small commercial, middle-market, national-account, or high-net-worth segments

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Multiline P&C Underwriter

## About the Role

Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring Commercial Insurance Brokers and Risk Advisors to design realistic client-advisory and placement scenarios, evaluate model outputs against established industry standards, and help shape how the next generation of AI reasons about commercial insurance purchasing and risk transfer.

We welcome retail and wholesale brokers, commercial producers, account executives, risk advisors, and professionals who have advised small businesses, middle-market organizations, or large national accounts.

## What You'll Do

- Design realistic scenarios involving exposure identification, coverage recommendations, submissions, marketing, placement, renewals, and client servicing
- Create work products such as coverage comparisons, renewal strategies, proposal analyses, exposure summaries, and client recommendations
- Write "golden" reference responses at experienced broker and risk-advisor quality
- Grade AI-generated responses against structured rubrics for accuracy, completeness, client suitability, and practical usefulness
- Identify when model outputs overlook material exposures, recommend unsuitable coverage, confuse carrier and broker responsibilities, or mishandle account-specific constraints
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions

## You're a Good Fit If You

- Have 2+ years of professional experience in commercial insurance brokerage, risk advisory, placement, production, or account management
- Have worked directly with commercial clients in at least one segment, such as small business, middle market, large/national accounts, or specialty risks
- Understand submissions, quotes, binders, policy comparisons, coverage gaps, renewals, and broker-carrier-client communications
- Can distinguish a broker's advisory obligations from a carrier's underwriting and claims responsibilities
- Demonstrate excellent written communication skills with high attention to detail
- Are comfortable explaining insurance concepts and recommendations in clear, practical language

## Bonus Qualifications

- CPCU, CIC, CRM, ARM, or comparable insurance designation
- Wholesale, E&S, Lloyd's, or specialty-placement experience
- Experience with captives, large deductibles, loss-sensitive programs, or multinational accounts
- Experience serving more than one industry or account segment
- Active or previously held producer license

## Role Highlights

- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis

Commercial Insurance Broker & Risk Advisor

**About the Role**

Mercor is hiring **Korean-speaking reviewers** to evaluate recorded sessions with a voice-and-camera AI assistant. You will watch each session, compare what the assistant said against what was actually visible in the video, and score it against a detailed rubric.

Your written comments are the deliverable. What you flag as a failure is what gets fixed first. This is judgment work, not volume work.

**Key Responsibilities**

- Review recorded sessions in which a user speaks to an AI assistant while their camera streams whatever is in front of them.
    
- Compare the assistant's responses against what was actually visible in the video feed, and identify hallucinated or fabricated visual detail.
    
- Score each session across visual interpretation, accuracy, relevance, response timing, and whether the assistant used spatial and directional language ("to your left", "move your finger up") rather than purely visual description.
    
- Judge whether the assistant appropriately warned the user when its answer could affect their health, physical safety, or financial security, and whether that warning was timely and proportionate.
    
- Write detailed open comments that support every score with concrete evidence from the session.
    
- Capture the conversation turn by turn in the intake form.
    

**Required Qualifications**

- Native or native-level **Korean**, spoken and written.
    
- Clear, precise written Korean.
    
- **An Android phone with a working camera and microphone. This is mandatory for the project.**
    
- Attention to detail and the discipline to apply a rubric consistently, without substituting your own criteria along the way.
    
- Professional English reading comprehension; the scoring guide is written in English.
    

**Preferred Qualifications**

- Prior data annotation, linguistic QA, content moderation, or AI model evaluation experience.
    
- Training in linguistics, translation or interpreting,
    
- An ear for regional register: recognizing when the assistant's Korean sounds unnatural or non-native.
    

**Additional Information**

- Start date: Immediate. High volume of work between 26 to 31 Aug is expected.
    
- Content note: some sessions involve situations where a wrong answer would carry real consequences, such as identifying medication, checking whether food has spoiled, crossing a street, or reading bank card details. There is no graphic or violent content, but you will evaluate cases with safety implications, and part of the work is flagging when the assistant failed to warn about the risk.
    

**Application Process**

- Submit your resume or relevant background to get started.
    
- Qualified applicants may be asked to complete a short calibration task on sample sessions, assessed on scoring consistency and the usefulness of written comments. We are not assessing speed.

AI Session Annotator (Korean)

**About the Role**

Mercor is hiring **Japanese-speaking reviewers** to evaluate recorded sessions with a voice-and-camera AI assistant. You will watch each session, compare what the assistant said against what was actually visible in the video, and score it against a detailed rubric.

Your written comments are the deliverable. What you flag as a failure is what gets fixed first. This is judgment work, not volume work.

**Key Responsibilities**

- Review recorded sessions in which a user speaks to an AI assistant while their camera streams whatever is in front of them.
    
- Compare the assistant's responses against what was actually visible in the video feed, and identify hallucinated or fabricated visual detail.
    
- Score each session across visual interpretation, accuracy, relevance, response timing, and whether the assistant used spatial and directional language ("to your left", "move your finger up") rather than purely visual description.
    
- Judge whether the assistant appropriately warned the user when its answer could affect their health, physical safety, or financial security, and whether that warning was timely and proportionate.
    
- Write detailed open comments that support every score with concrete evidence from the session.
    
- Capture the conversation turn by turn in the intake form.
    

**Required Qualifications**

- Native or native-level **Japanese**, spoken and written.
    
- Clear, precise written Japanese.
    
- **An Android phone with a working camera and microphone. This is mandatory for the project.**
    
- Attention to detail and the discipline to apply a rubric consistently, without substituting your own criteria along the way.
    
- Professional English reading comprehension; the scoring guide is written in English.
    

**Preferred Qualifications**

- Prior data annotation, linguistic QA, content moderation, or AI model evaluation experience.
    
- Training in linguistics, translation or interpreting,
    
- An ear for regional register: recognizing when the assistant's Japanese sounds unnatural or non-native.
    

**Additional Information**

- Start date: Immediate. High volume of work between 26 to 31 Aug is expected.
    
- Content note: some sessions involve situations where a wrong answer would carry real consequences, such as identifying medication, checking whether food has spoiled, crossing a street, or reading bank card details. There is no graphic or violent content, but you will evaluate cases with safety implications, and part of the work is flagging when the assistant failed to warn about the risk.
    

**Application Process**

- Submit your resume or relevant background to get started.
    
- Qualified applicants may be asked to complete a short calibration task on sample sessions, assessed on scoring consistency and the usefulness of written comments. We are not assessing speed.

AI Session Annotator (Japanese)

**About the Role**

Mercor is hiring **English-speaking reviewers** to evaluate recorded sessions with a voice-and-camera AI assistant. You will watch each session, compare what the assistant said against what was actually visible in the video, and score it against a detailed rubric.

Your written comments are the deliverable. What you flag as a failure is what gets fixed first. This is judgment work, not volume work.

**Key Responsibilities**

- Review recorded sessions in which a user speaks to an AI assistant while their camera streams whatever is in front of them.
    
- Compare the assistant's responses against what was actually visible in the video feed, and identify hallucinated or fabricated visual detail.
    
- Score each session across visual interpretation, accuracy, relevance, response timing, and whether the assistant used spatial and directional language ("to your left", "move your finger up") rather than purely visual description.
    
- Judge whether the assistant appropriately warned the user when its answer could affect their health, physical safety, or financial security, and whether that warning was timely and proportionate.
    
- Write detailed open comments that support every score with concrete evidence from the session.
    
- Capture the conversation turn by turn in the intake form.
    

**Required Qualifications**

- Native or native-level **English**, spoken and written.
    
- Clear, precise written English; the scoring guide is written in English.
    
- **An Android phone with a working camera and microphone. This is mandatory for the project.**
    
- Attention to detail and the discipline to apply a rubric consistently, without substituting your own criteria along the way.
    

**Preferred Qualifications**

- Prior data annotation, linguistic QA, content moderation, or AI model evaluation experience.
    
- Training in linguistics, translation or interpreting,
    
- An ear for regional register: recognizing when the assistant's English sounds unnatural or non-native.
    

**Additional Information**

- Start date: Immediate. High volume of work between 26 to 31 Aug is expected.
    
- Content note: some sessions involve situations where a wrong answer would carry real consequences, such as identifying medication, checking whether food has spoiled, crossing a street, or reading bank card details. There is no graphic or violent content, but you will evaluate cases with safety implications, and part of the work is flagging when the assistant failed to warn about the risk.
    

**Application Process**

- Submit your resume or relevant background to get started.
    
- Qualified applicants may be asked to complete a short calibration task on sample sessions, assessed on scoring consistency and the usefulness of written comments. We are not assessing speed.

AI Session Annotator (English)

**About the role**

We're hiring experienced legal reviewers to create rubrics and run quality control on large volumes of processed legal documents. This is a review and verification role — not drafting, not advisory.

You'll work across the full range of commercial legal document types: commercial contracts, employment and HR records, IP and technology agreements, regulatory filings, corporate records, insurance policies, financing and debt instruments, litigation files, real estate documents, and tax filings. Breadth matters far more than great depth in any single practice area.

**What you'll do**

- Create rubrics to grade legal documents against that can be understood and applied by a layman
    
- Review processed legal documents against a written QC rubric, checking that every identifying and sensitive element has been correctly handled
    
- Flag and categorise defects, and escalate ambiguous cases for adjudication
    

**What we're looking for**

- US-based, qualified lawyer with 3+ years' post-qualification experience, ideally in-house or as a generalist commercial counsel
    
- Comfort moving across many document types
    
- Experience in managed document review, e-discovery, contract management, or data privacy is a strong advantage
    
- Demonstrable precision and consistency on high-volume review work
    
- Able to follow a written protocol closely, and to improve it

Legal Reviewer

Mercor's People team is building its compensation and equity foundation from scratch. We want to think it through with people who have done it before.

We're looking for Total Rewards practitioners with depth in **one or both** of the following. Either one on its own is enough.

**Compensation design & architecture**

- Built salary bands, leveling frameworks, and job architecture from the ground up
    
- Owned an annual compensation cycle: merit planning, promotion decisions, bonus programs, equity refresh
    
- Benchmarked against a peer set you then had to defend to a skeptical exec team
    
- Designed incentive structures that were simple, credible, and changed behavior
    

**Equity program management**

- Designed option and RSU programs: grant guidelines, pool planning, vesting structures, refresh philosophy
    
- Worked through 409A valuations, plan governance, and grant administration at a venture-backed company
    
- Built the modeling and communication that lets candidates and employees understand what their equity is worth
    

Those two are what we screen on. Nothing below is required. If you have the whole Total Rewards picture, say so.

**Also valuable**

- Compensation philosophy, benchmarking methodology, pay equity and pay transparency
    
- Compensation design for a global or contractor workforce at scale
    
- Benefits program design, HRIS and compensation tooling
    
- Executive compensation, plan governance, or equity through IPO readiness
    

**Context**

Mercor is a Series C company at a $10B valuation, scaling from roughly 500 employees, with a large global contractor network alongside a growing full-time workforce. Nothing is settled yet: what the compensation philosophy should be, how levels map across very different functions, how equity gets granted and explained.

**How this works**

Applying starts with a short screen. If your background fits, we'll invite you to a paid conversation about a live question we're facing. You're paid for it whether or not anything follows.

Rate is $50–$200/hr depending on depth of experience. Engagements run a few hours at a time, scoped to one question.

We review every submission.

Compensation & Equity Expert (Total Rewards)

**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 Cloud and DevOps Engineers with deep, hands-on expertise in Kubernetes operations, AWS service integration, and Infrastructure-as-Code to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data. This is a full-time commitment of 40 hours per week.

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

# 2\. Key Responsibilities

- Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code topics.
- Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to cluster diagnosis, AWS service integration, and infrastructure automation problems.
- Evaluate infrastructure engineering tasks and solutions and provide clear, written technical feedback.
- Develop guidelines and detailed rubrics/evaluation frameworks to assess cluster failure diagnosis, IaC design quality, and CI/CD pipeline reasoning across tasks.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

# 3\. Core Qualifications

- 4+ years of dedicated professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering at a recognized, top-tier organization.
- Hands-on production experience operating Kubernetes, including diagnosing and repairing cluster failures — not solely authoring manifests or using a managed control plane.
- Production experience with Infrastructure-as-Code, specifically Terraform and/or AWS CDK.
- Direct experience integrating AWS services in production, including Lambda, API Gateway, and DynamoDB.
- Experience building and owning CI/CD pipelines.
- 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.

Cloud / DevOps Engineer (Infra & IaC)

**About the Role**

Mercor is hiring experienced **Computer and Information Systems Managers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated IT management content and workflows, leveraging your real-world expertise in directing information systems, coordinating technical teams, and overseeing enterprise technology operations.

**Key Responsibilities**

- Evaluate AI-generated project plans, technical standards, incident responses, and other IT management artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on operational soundness, technical rigor, and cross-team feasibility.
    
- Review IT management scenarios involving system prioritization, vendor coordination, technical support, and team assignment and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as an Information Technology Manager (IT Manager), Information Systems Manager (IS Manager), IT Director, Application Development Director, Technical Services Manager, or another closely related IT management role.
    
- Experience directing or coordinating activities across electronic data processing, information systems, systems analysis, or computer programming teams.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Computer and Information Systems Managers

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

**Domains — depth required in at least two subdomains (with a coding focus)**

- Materials science — semiconductor materials, molecular modeling
    

**What you'll do**

- Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
    
- Write scientific prompts based on the input
    
- Build the grading criteria that define a correct answer
    
- Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
    

**Required**

- PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field
    
- Demonstrated depth in both of the following subdomains: semiconductor materials and molecular modeling
    
- Working proficiency in Python, R, or another relevant programming language for scientific computing
    
- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
    

**Preferred**

- Publications in peer-reviewed journals
    
- Prior scientific software or research engineering experience
    

**Engagement**

- Duration: 6 weeks
    
- Commitment: part-time, 20+ hours per week
    
- Start date: immediate
    

**Process**

1. Upload your resume and application form
    
2. A 25-minute conversational interview covering your background, experience, and motivations
    
3. Follow up within a few days with next steps and onboarding
    

Apply today and put your research expertise to work building the next generation of scientific AI.

Material Science PhD Coding Experts

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

**Domains — depth required in at least two subdomains (with a coding focus)**

- Biology — ecology, biochemistry, genetics
    

**What you'll do**

- Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
    
- Write scientific prompts based on the input
    
- Build the grading criteria that define a correct answer
    
- Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
    

**Required**

- PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field
    
- Demonstrated depth in at least two of the following subdomains: ecology, biochemistry, genetics
    
- Working proficiency in Python, R, or another relevant programming language for scientific computing
    
- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
    

**Preferred**

- Publications in peer-reviewed journals
    
- Prior scientific software or research engineering experience
    

**Engagement**

- Duration: 6 weeks
    
- Commitment: part-time, 20+ hours per week
    
- Start date: immediate
    

**Process**

1. Upload your resume and application form
    
2. A 25-minute conversational interview covering your background, experience, and motivations
    
3. Follow up within a few days with next steps and onboarding
    

Apply today and put your research expertise to work building the next generation of scientific AI.

Biology PhD Coding Experts

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

**Domains — depth required in at least two subdomains (with a coding focus)**

- Chemistry — quantum chemistry, computational chemistry
    

**What you'll do**

- Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
    
- Write scientific prompts based on the input
    
- Build the grading criteria that define a correct answer
    
- Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
    

**Required**

- PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field
    
- Demonstrated depth in both of the following subdomains: quantum chemistry and computational chemistry
    
- Working proficiency in Python, R, or another relevant programming language for scientific computing
    
- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
    

**Preferred**

- Publications in peer-reviewed journals
    
- Prior scientific software or research engineering experience
    

**Engagement**

- Duration: 6 weeks
    
- Commitment: part-time, 20+ hours per week
    
- Start date: immediate
    

**Process**

1. Upload your resume and application form
    
2. A 25-minute conversational interview covering your background, experience, and motivations
    
3. Follow up within a few days with next steps and onboarding
    

Apply today and put your research expertise to work building the next generation of scientific AI.

Chemistry PhD Coding Experts

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

**Domains — depth required in at least two subdomains (with a coding focus)**

- Physics — condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics
    

**What you'll do**

- Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
    
- Write scientific prompts based on the input
    
- Build the grading criteria that define a correct answer
    
- Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
    

**Required**

- PhD in physics, applied physics, or a closely related field
    
- Demonstrated depth in at least two of the following subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics
    
- Working proficiency in Python, R, or another relevant programming language for scientific computing
    
- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
    

**Preferred**

- Publications in peer-reviewed journals
    
- Prior scientific software or research engineering experience
    

**Engagement**

- Duration: 6 weeks
    
- Commitment: part-time, 20+ hours per week
    
- Start date: immediate
    

**Process**

1. Upload your resume and application form
    
2. A 25-minute conversational interview covering your background, experience, and motivations
    
3. Follow up within a few days with next steps and onboarding
    

Apply today and put your research expertise to work building the next generation of scientific AI.

Physics PhD Coding Experts

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

**Domains - depth required in at least two subdomains (with a coding focus)**

- Mathematics — numerical linear algebra, computational mechanics, computational finance
    

**What you'll do**

- Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
    
- Write scientific prompts based on the input
    
- Build the grading criteria that define a correct answer
    
- Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
    

**Required**

- PhD in mathematics, applied mathematics, computational mathematics, or a closely related field
    
- Demonstrated depth in at least two of the following subdomains: numerical linear algebra, computational mechanics, computational finance
    
- Working proficiency in Python or R for scientific computing
    
- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
    

**Preferred**

- Publications in peer-reviewed journals
    
- Prior scientific software or research engineering experience
    

**Engagement**

- Duration: 6 weeks
    
- Commitment: part-time, 20+ hours per week
    
- Start date: immediate
    

**Process**

1. Upload your resume and application form
    
2. A 25-minute conversational interview covering your background, experience, and motivations
    
3. Follow up within a few days with next steps and onboarding
    

Apply today and put your research expertise to work building the next generation of scientific AI.

Mathematics PhD Coding Experts

## Business Development Contractors

We are seeking contractors to identify companies with valuable operational data and develop potential data-licensing partnerships. This external-facing role involves contacting founders and business owners, leading discovery calls, explaining partnership opportunities, and managing leads through signed agreements.

Ideal candidates are strong communicators who are comfortable with outbound outreach, senior stakeholders, and fast-moving sales cycles.

**Responsibilities**

- Identify and contact prospective data partners
    
- Lead discovery calls and communicate the value of a partnership
    
- Address questions about data use, privacy, security, and anonymization
    
- Manage opportunities from initial outreach through closing
    
- Coordinate partner onboarding with internal teams
    

**Requirements**

- Strong communication and relationship-building skills
    
- Experience in business development, partnerships, or B2B sales
    
- Confidence speaking with founders, executives, and business owners
    
- **Availability to contribute up to 40 hours per week**

Business Development Contractor

Mercor is partnering with a **frontier AI research lab** to engage experienced software engineers with deep expertise in **legacy codebase migration and modernisation**. We are looking for engineers who have personally executed complex migrations across **large, production-grade systems**, particularly in **financial services, fintech/payments, insurance, healthcare, telecom, large technology companies, and other mission-critical enterprises**. Strong hands-on experience with production migrations is the primary qualification.

## What You'll Do

- Design, implement, review, and evaluate complex **codebase migration and modernisation tasks**.
    
- Analyse legacy code, dependencies, APIs, databases, build systems, and infrastructure to determine safe migration approaches.
    
- Preserve **functionality, backwards compatibility, data integrity, security, and performance** during migrations.
    
- Develop tests and validation strategies to identify migration regressions and behavioural differences.
    
- Evaluate AI-generated migration solutions for **correctness, completeness, maintainability, and production readiness**.
    

## Relevant Migration Experience

Candidates should have deep expertise in **one or more** of the following:

- **Language/version:** Java 8 → 17/21, legacy .NET → modern .NET, Python 2 → 3, PHP 7 → 8
    
- **Language rewrites:** COBOL → Java/Python, JavaScript → TypeScript
    
- **Frameworks:** Angular, Rails, Django, Spring/Spring Boot, ASP.NET, Next.js/Astro, and other major framework upgrades/replacements
    
- **Databases & ORMs:** Oracle/MySQL → PostgreSQL, SQL → NoSQL, Hibernate → jOOQ, Sequelize → Prisma, raw SQL → ORM
    
- **Infrastructure:** VMs/bare metal → containers, Docker/Kubernetes, cloud-native architectures
    
- **CI/CD:** Jenkins/Travis → GitHub Actions, GitLab CI, or modern deployment pipelines
    
- **Build/package tooling:** Maven → Gradle, Webpack → Vite, CRA → Next.js, npm → pnpm
    
- **APIs:** REST → GraphQL, HTTP/REST → gRPC, SOAP/legacy APIs → modern interfaces
    
- **Authentication:** Legacy auth → OAuth/OIDC, SAML/SSO, modern identity and authorisation systems
    
- **Repositories:** Polyrepo → monorepo using Bazel, Nx, Turborepo, or similar
    
- **Testing:** Migration of unit, integration, browser, and E2E testing frameworks
    
- **Dependencies/SDKs:** Replacement of deprecated or EOL libraries, APIs, runtimes, and vendor SDKs
    

## Ideal Background

- **5+ years of professional software engineering experience**, ideally Senior, Staff, Principal, or equivalent.
    
- Personally owned or made substantial technical contributions to **large-scale production migrations**.
    
- Experience working with mature systems involving technical debt, complex dependencies, legacy integrations, and significant regression risk.
    
- Strong knowledge of **compatibility, testing, observability, staged rollouts, rollback strategies, and behavioural equivalence**.
    
- Ability to reason deeply about unfamiliar codebases and diagnose subtle migration failures.
    
- **Especially valuable:** engineers who have modernised **core banking, payments, trading, insurance, healthcare, telecom, or other high-reliability systems**.
    
- For **COBOL/mainframe modernisation, experience with technologies such as z/OS, CICS, JCL, DB2, VSAM, batch processing, and COBOL-to-Java/Python migrations** is particularly valuable.
    

## Why Join

- Apply your migration expertise to help shape how **frontier AI models understand and execute complex software modernisation**.
    
- Work on technically challenging problems modelled after **real-world, production-scale legacy systems**.
    
- Contribute expertise developed from large enterprise migrations without needing an open-source maintainer background.
    
- Opportunity for **ongoing work** as the research program expands.

Legacy Codebase Migration Expert

**About the Role**

Mercor is hiring experienced **Compliance Officers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated compliance content and workflows, leveraging your real-world expertise in examining laws, regulations, and licensing standards, and in enforcement inspection and analysis.

**Key Responsibilities**

- Evaluate AI-generated compliance assessments, regulatory analyses, licensing reviews, and other enforcement artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on regulatory rigor, evidentiary soundness, and enforcement reasoning.
    
- Review compliance scenarios involving eligibility determinations, license and permit review, violation reporting, and regulatory recommendations and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Compliance Officer, Compliance Analyst, Compliance Manager, License Examiner, Regulatory Affairs Specialist, or another closely related compliance or regulatory-enforcement role.
    
- Experience examining, evaluating, or investigating eligibility for or conformity with laws, regulations, licenses, or permits, including preparing findings and enforcement reports.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Compliance Officers

**About the Role**

Mercor is hiring experienced **Industrial Engineers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated industrial engineering content and workflows, leveraging your real-world expertise in designing production systems, quality control, and process optimization.

**Key Responsibilities**

- Evaluate AI-generated production plans, process designs, quality analyses, and other industrial engineering artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on engineering rigor, process efficiency, and quality-control soundness.
    
- Review industrial engineering scenarios involving production sequencing, cost analysis, quality standards, and logistics coordination and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as an Industrial Engineer, Process Engineer, Quality Engineer, Continuous Improvement Engineer, Operations Engineer, or another closely related industrial engineering role.
    
- Experience designing, developing, or evaluating integrated production systems including quality control, inventory control, logistics, cost analysis, or production coordination.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Industrial Engineers

**About the Role**

Mercor is hiring experienced **Medical and Health Services Managers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated healthcare operations content and workflows, leveraging your real-world expertise in directing clinical services, personnel, budgets, and compliance across healthcare facilities.

**Key Responsibilities**

- Evaluate AI-generated healthcare operations plans, staff assignments, compliance reviews, and other management artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on operational soundness, regulatory compliance, and clinical-service feasibility.
    
- Review healthcare management scenarios involving budgeting, personnel administration, records management, and program planning and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Medical and Health Services Manager, Clinical Director, Nurse Manager, Nursing Director, Health Information Manager, or another closely related healthcare management role.
    
- Experience directing or coordinating medical and health services across hospitals, clinics, managed care organizations, public health agencies, or similar settings.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Medical and Health Services Managers

**About the Role**

Mercor is hiring experienced **Nurse Practitioners** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated clinical content and workflows, leveraging your real-world expertise in diagnosing, treating, and managing patient care across acute and chronic conditions.

**Key Responsibilities**

- Evaluate AI-generated clinical assessments, treatment plans, patient education materials, and other healthcare artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on clinical reasoning, guideline adherence, and diagnostic soundness.
    
- Review clinical scenarios involving diagnosis, treatment planning, medication decisions, and patient education and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Nurse Practitioner (NP), Advanced Practice Registered Nurse (APRN), Family Nurse Practitioner (FNP), Acute Care Nurse Practitioner (ACNP), Pediatric Nurse Practitioner (PNP), or another closely related advanced practice nursing role.
    
- Active RN licensure with specialized graduate education in nursing, and experience diagnosing and treating acute, episodic, or chronic illness.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Nurse Practitioners

**About the Role**

Mercor is hiring experienced **Mechanical Engineers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated mechanical engineering content and workflows, leveraging your real-world expertise in designing tools, machines, and mechanical systems.

**Key Responsibilities**

- Evaluate AI-generated mechanical designs, technical drawings, system specifications, and other engineering artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on engineering rigor, design soundness, and specification precision.
    
- Review mechanical engineering scenarios involving equipment design, system troubleshooting, and specification compliance and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Mechanical Engineer, Mechanical Design Engineer, Product Engineer, Project Engineer, Test Engineer, or another closely related mechanical engineering role.
    
- Experience designing, evaluating, or maintaining mechanical products, equipment, or systems, including interpreting blueprints and technical drawings.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Mechanical Engineers

**About the Role**

Mercor is hiring experienced **Lawyers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated legal content and workflows, leveraging your real-world expertise in litigation, legal drafting, and client advisory work.

**Key Responsibilities**

- Evaluate AI-generated legal memoranda, contracts, case analyses, and other legal artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on legal reasoning, precedent application, and drafting rigor.
    
- Review legal scenarios involving litigation strategy, statutory interpretation, and client advisory decisions and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Lawyer, Attorney, Counsel, General Counsel, Prosecutor, or another closely related legal practice role.
    
- Experience representing clients in criminal and/or civil proceedings, drafting legal documents, or advising on legal transactions.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Lawyers

**About the Role**

Mercor is hiring experienced **Financial and Investment Analysts** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated financial and investment analysis content and workflows, leveraging your real-world expertise in valuation, quantitative analysis, and investment recommendations.

**Key Responsibilities**

- Evaluate AI-generated valuation models, investment recommendations, industry analyses, and other analytical artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on analytical rigor, valuation soundness, and investment-recommendation quality.
    
- Review financial analysis scenarios involving company valuation, capital structure, and portfolio decisions and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Financial Analyst, Investment Analyst, Equity Research Analyst, Portfolio Manager, Securities Analyst, or another closely related financial or investment analysis role.
    
- Experience conducting quantitative analyses, company valuations, or investment recommendations for public or private institutions.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Financial and Investment Analysts

**About the Role**

Mercor is hiring experienced **Financial Managers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated financial management content and workflows, leveraging your real-world expertise in overseeing accounting, banking, credit, and financial planning activities across branches, offices, or departments.

**Key Responsibilities**

- Evaluate AI-generated financial plans, budgets, forecasts, and other financial management artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on financial soundness, regulatory compliance, and analytical rigor.
    
- Review financial scenarios involving cash flow oversight, budgeting, pricing decisions, and financial reporting and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Financial Manager, Finance Director, Branch Manager, Financial Planning Manager, Financial Reporting Manager, or another closely related financial management role.
    
- Experience overseeing accounting, banking, credit, insurance, securities, or financial planning activities at the branch, office, or department level.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Financial Managers

**About the Role**

Mercor is hiring experienced **General and Operations Managers** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated operational management content and workflows, leveraging your real-world expertise in directing multi-department operations, staffing, financial oversight, and cross-functional decision-making.

**Key Responsibilities**

- Evaluate AI-generated operational plans, staff schedules, performance reviews, and other management artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on operational soundness, financial rigor, and cross-department feasibility.
    
- Review operational scenarios involving budgeting, staffing, workflow coordination, and performance improvement decisions and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a General Manager, Operations Manager, Operations Director, Business Manager, District Manager, or another closely related general operations management role.
    
- Experience directing multi-department or multi-location operations, including budgeting, staffing, and performance oversight.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

General and Operations Managers

**About the Role**

Mercor is hiring experienced **Project Management Specialists** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated project management content and workflows, leveraging your real-world expertise in coordinating schedules, budgets, staffing, and stakeholder communications across technical projects.

**Key Responsibilities**

- Evaluate AI-generated project plans, status reports, stakeholder communications, and other project artifacts for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on planning rigor, execution feasibility, and stakeholder relevance.
    
- Review project management scenarios involving schedule, budget, staffing, and procurement decisions and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Project Management Specialist, Project Manager, Technical Project Manager, Program Manager, Project Coordinator, or another closely related project management role.
    
- Experience coordinating schedules, timelines, procurement, staffing, and budgets across technical or cross-functional projects.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Project Management Specialists

**About the Role**

Mercor is hiring experienced **Sales Representatives specializing in Wholesale, Manufacturing, Technical, and Scientific Products** to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated sales content and workflows, leveraging your real-world expertise in technical sales.

**Key Responsibilities**

- Evaluate AI-generated sales conversations, emails, proposals, and other commercial materials for quality and accuracy.
    
- Compare AI-generated responses head-to-head based on technical correctness, sales effectiveness, and customer relevance.
    
- Review sales scenarios involving technical or scientific products and provide expert feedback.
    

**Required Qualifications**

- **4+ years** of experience as a Sales Representative, Technical Sales Representative, Wholesale Sales Representative, Manufacturer's Representative, Inside Sales Representative, or another closely related B2B technical sales role.
    
- Experience selling technical, scientific, industrial, engineering, biological, chemical, or electronic products.
    
- Ability to commit **20+ hours per week**.
    
- Strong written English communication skills.
    

**Additional Information**

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

Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products

As a medical writer on this project, you would own a part in multiple workflows:

1. Clinical Data Generation — we need to generate and validate high-quality, synthetic clinical trial data.
    
2. CSR task authorship — you must be capable of authoring full CSR sections, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.
    

To be qualified for this role, you must fit the following requirements:

- Location: US, Canada, or France.
    
- YOE: 5+ required. 10-25 preferred.
    
- Education: PhD, or equivalent.
    
- Hourly availability: 20-25 hours/week, minimum. 30+ preferred.
    
- Experience: **MUST** have experience working with pre-market (Phases 1-3) clinical trial data and report authorship. Comfortable with full-document, long-horizon authorship.

Medical Writer

As a biostatistician on this project, you would own a part in multiple workflows:

1\. Clinical Data Generation: we need to simulate raw patient-level data and transform it through SDTM and ADaM into TLF outputs, so that every figure reconciles back to its source.

2\. Biostatistics task authorship: you must be capable of executing end-to-end analysis pipelines and component tasks, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.

To be qualified for this role, you must fit the following requirements:

- Location: US, Canada, or France.
    
- YOE: 5+ required. 10-25 preferred.
    
- Education: MS in biostatistics or statistics required. PhD preferred.
    
- Hourly availability: 20-25 hours/week, minimum. 30+ preferred.
    
- Experience: **MUST** have hands-on experience across the SDTM, ADaM, and TLF layers of pre-market (Phases 1-3) trials. You will be converting an existing SAP into data transformations and outputs, not authoring the SAP itself. Comfortable producing synthetic data that is realistic rather than contrived.

Biostatistician

As a Medical Safety Expert on this project, you would own a part in multiple workflows:

1\. Clinical Data Generation: we need to generate and validate the safety layer of each data room, including adverse event data, SAE records, patient narratives, discontinuations, and protocol deviations.

2\. PV task authorship: you must be capable of authoring full DSURs and PBRERs and their component sections, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.

To be qualified for this role, you must fit the following requirements:

- Location: US, Canada, or France.
    
- YOE: 5+ required. 10-25 preferred.
    
- Education: MD, PharmD, PhD, or equivalent.
    
- Hourly availability: 20-25 hours/week, minimum. 30+ preferred.
    
- Experience: **MUST** have authored aggregate safety reports across both pre-commercial (DSUR) and post-commercial (PBRER) reporting. Comfortable with active benefit-risk interpretation against cumulative safety data, exposure estimates, and signal detection output, and with full fatal-case workups including investigator versus sponsor causality.

Medical Safety Expert

As a regulatory expert on this project, you would own a part in multiple workflows:

1\. Clinical Data Generation: we need to validate that each data room and its documents hold up against FDA evidentiary standards and formatting expectations, including the deliberate defects planted to test regulatory judgment.

2\. FDA RFI task authorship: you must be capable of authoring information requests and model responses, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.

To be qualified for this role, you must fit the following requirements:

- Location: US, Canada, or France.
    
- YOE: 5+ required. 10-25 preferred.
    
- Education: MD, PhD, PharmD, or equivalent.
    
- Hourly availability: 20-25 hours/week, minimum. 30+ preferred.
    
- Experience: MUST have reviewed or responded to FDA information requests across CMC, patient-level data requests, investigator qualifications, and biomarker or endpoint evidence. Direct FDA review experience strongly preferred over sponsor-side liaison work. No conflict of interest with a current federal employer.

Clinical Regulatory Expert

As a clinical data manager on this project, you would own a part in multiple workflows:

1\. Clinical Data Generation: you would lead it. We need someone who understands the entire anatomy of a data room and can guarantee that every artifact reconciles across the protocol, the datasets, the TLFs, and the narratives.

2\. Data room QC and task authorship: you must be capable of validating a synthetic data room for realism, internal consistency, and traceability, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.

To be qualified for this role, you must fit the following requirements:

Location: US, Canada, or France.

YOE: 5+ required. 10-25 preferred.

Education: no degree requirement. Experience is the gate for this role.

Hourly availability: 20-25 hours/week, minimum. 30+ STRONGLY preferred.

Experience: **MUST** have held managerial oversight of entire clinical data rooms, with hands-on CDISC and SDTM conformance work and EDC build through database lock. Comfortable enforcing cross-file consistency, so that a patient referenced in raw data appears correctly in the TLFs and folded metrics.

Clinical Data Manager / CDISC

As a clinical pharmacologist on this project, you would own a part in multiple workflows:

1\. Clinical Data Generation: we need to simulate the pharmacology layer of each data room, including PK and PD datasets, dosing and escalation regimens, exposure-response relationships, and bioanalytical reports, so that dose rationale and concentration data are clinically plausible and reconcile against the efficacy and safety outputs.

2\. Clinical pharmacology task authorship: you must be capable of authoring the dose selection rationale, drug concentration and response sections, and drug-drug and drug-disease interaction content, and designing prompts, golden outputs, and rubrics to quantify the ability of an AI agent attempting to do the same thing.

To be qualified for this role, you must fit the following requirements:

- Location: US, Canada, or France.
    
- YOE: 5+ required. 10-25 preferred.
    
- Education: PharmD, PhD in pharmacology, pharmacokinetics or a related field, MD, or equivalent.
    
- Hourly availability: 20-25 hours/week, minimum. 30+ preferred.
    
- Experience: **MUST have supported pre-market (Phases 1-3) programs as a clinical pharmacologist**, with hands-on PK/PD work, dose selection and escalation, and exposure-response analysis. First-in-human experience strongly preferred. Comfortable working from a protocol and SAP to produce pharmacology data that holds up under expert scrutiny.

Pharmacologist

## Accounting knowledge we require

**Financial reporting & the close**

- US GAAP financial statements and the period-end close and reporting cycle
- Reconciliations, substantive analytics, and tie-outs to source documents
- Subledger-to-general-ledger tie-out, and what it means for a period to be open, locked, or reopened

**Judgment & evaluation**

- Materiality and the evaluation of errors and misstatements; when an item is or isn't material
- Adjusting journal entries and their coupled effects (e.g., deferred tax)
- Distinguishing an entry actually posted to the ledger from one sitting as a draft, an unposted batch, or a working-paper adjustment

**Technical standards & estimates**

- Revenue (ASC 606), leases (842), impairment (350/360), income taxes, credit losses (326), business combinations (805)
- Reserves, allowances, and other significant accounting estimates

**Documentation & evidence**

- Workpaper vs. memo standards, cross-referencing, sign-off, review-ready completeness
- Evidence provenance: a figure, citation, or procedure is only valid if it is actually supported

**Tools**

- Comfort in professional accounting software — engagement/audit tools (e.g., CaseWare), GL/ERP systems (e.g., NetSuite), and BI/reporting tools (e.g., Power BI)

## What you'll do

- Review AI-agent attempts at realistic accounting tasks and judge whether each conclusion is correct and adequately supported
- Confirm work is actually completed and recorded — entries booked, findings logged, deliverables filed — not just described
- Catch fabricated or overstated work: invented support, procedures claimed but not performed, unsupported figures
- Judge completeness and whether the right method was applied to the right problem; require verify-before-finalize
- Write clear, specific agree/disagree rationales on each attempt

## Requirements

- **3+ years of professional accounting experience in one or more of: external audit, controllership / technical accounting, FP&A, or tax**
- **Current or recent hands-on work under US GAAP**
- Reflexive professional judgment; can spot an unsupported number, a misapplied standard, or an incomplete deliverable on sight
- CPA (or actively pursuing), Big 4 / firm / industry experience, or equivalent
- Comfort working inside accounting software and reading financial statements and supporting schedules

Accounting 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

We are hiring a senior **business and sales operations domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real business operations work.

Your operating expertise is the substance of this role. You will review the quality of business operations knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing operator rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of business and sales operations knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, flawed assumptions, numbers that do not tie, and answers that read well but would not survive an operating review.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to operations problems, and define new tasks that reflect how the work is actually done in practice.
    
- **Benchmarks and domain depth:** Design challenging operations tasks and evaluation sets, and help build domain-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit operating judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Experience:** 4+ years of substantive ownership of a business, revenue, or sales operations function at a recognized organization. Individual quota-carrying sales roles with no operations ownership do not count.
    
- **Seniority:** Clear progression to a senior level, for example Manager, Senior Manager, Director, Vice President, COO, or President, with real ownership of a function, a budget, or a team.
    
- **Domain depth:** Genuine specialization in at least one area, for example sales operations and territory or quota design, revenue operations and forecasting, CRM and go to market systems, pricing and deal desk, supply chain and inventory planning, business analytics, or process improvement.
    
- **Education:** A bachelor's degree, with an MBA or an equivalent advanced degree strongly preferred.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Business & Sales Operations Domain 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

We are hiring a senior **insurance and actuarial domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real insurance work.

Your insurance expertise is the substance of this role. You will review the quality of insurance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of insurance knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, flawed actuarial assumptions, misapplied policy language, and answers that read well but would not survive professional scrutiny.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to insurance and actuarial problems, and define new tasks that reflect how the work is actually done in practice.
    
- **Benchmarks and domain depth:** Design challenging insurance tasks and evaluation sets, and help build domain-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit insurance judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Credentials:** Either an actuarial credential (FSA, ASA, FCAS, or ACAS) or an active state insurance license in adjusting, underwriting, or broking, for example an all-lines adjuster license. Actuarial candidates are expected to hold a degree in actuarial science, mathematics, statistics, or a related quantitative field.
    
- **Experience:** 4+ years of substantive insurance experience at a carrier, reinsurer, broker, adjusting firm, or insurance regulator.
    
- **Domain depth:** Genuine specialization in at least one area, for example life and annuity, group life and disability, property and casualty, health, reinsurance, pricing and reserving, enterprise risk management, claims adjudication, or underwriting.
    
- **Seniority:** Clear progression to a senior level, for example Actuary, Senior Actuary, AVP, Director, Chief Actuary, Claims Manager, or Head of Underwriting, with real ownership of a book, a reserve, or a claims portfolio.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Insurance Domain 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

We are hiring a senior **accounting and audit domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real accounting and audit work.

Your accounting expertise is the substance of this role. You will review the quality of accounting knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of accounting and audit knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, misapplied standards, unsupported accounting treatments, and answers that read well but would not survive review by a reviewing partner.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to accounting and audit problems, and define new tasks that reflect how the work is actually done in practice.
    
- **Benchmarks and domain depth:** Design challenging accounting and audit tasks and evaluation sets, and help build domain-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit accounting judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Credentials:** An active professional credential, for example CPA, CA, CIA, CFE, or CMA, alongside a bachelor's or master's degree in accounting or a closely related field.
    
- **Experience:** 4+ years of substantive accounting or audit experience at a recognized institution, for example a public accounting firm, a corporate controllership or finance function, an internal audit department, or a regulator. Bookkeeping-only roles do not count.
    
- **Domain depth:** Genuine specialization in at least one area, for example external audit and assurance, technical accounting and financial reporting under US GAAP or IFRS, internal audit and SOX controls, tax, forensic accounting and fraud examination, or revenue recognition.
    
- **Seniority:** Clear progression to a senior level, for example Audit Manager, Senior Manager, Accounting Manager, Controller, Director of Accounting, or Partner, with real ownership of engagements or reporting cycles.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Accounting & Audit Domain 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

We are hiring a senior **clinical medicine domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real clinical work.

Your clinical expertise is the substance of this role. You will review the quality of medical knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing clinician rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of clinical knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, unsafe or off-guideline recommendations, and answers that read well but would not survive clinical scrutiny.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to clinical problems, and define new clinical tasks that reflect how medicine is actually practiced.
    
- **Benchmarks and domain depth:** Design challenging clinical tasks and evaluation sets, and help build medicine-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit clinical judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Education:** MD or DO from an accredited medical school, with a completed residency in a recognized specialty.
    
- **Experience:** 4+ years of post-residency clinical practice. Residency and fellowship training alone do not count toward the four years.
    
- **Licensure:** Active, unrestricted license to practice medicine in at least one U.S. state, and board certification in your specialty.
    
- **Domain depth:** Genuine specialization in a defined clinical specialty, for example internal medicine, oncology, radiology, emergency medicine, surgery, psychiatry, or a medical subspecialty. Experience in utilization management, clinical informatics, or medical affairs is a plus.
    
- **Seniority:** Clear progression to a senior level, for example Attending Physician, Medical Director, Division Chief, Associate or full Professor, or Chief Medical Officer, with real ownership of clinical decisions.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Clinical Medicine Domain 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

We are hiring a senior **pharmaceutical R&D domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real pharmaceutical research and development work.

Your drug development expertise is the substance of this role. You will review the quality of pharmaceutical knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of pharmaceutical knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, unsupported efficacy or safety claims, and answers that read well but would not survive scientific or regulatory scrutiny.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to drug discovery and development problems, and define new tasks that reflect how the work is actually done in industry.
    
- **Benchmarks and domain depth:** Design challenging pharmaceutical tasks and evaluation sets, and help build domain-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit development judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Education:** PhD or PharmD in a pharmaceutically relevant discipline, for example medicinal or organic chemistry, pharmacology, molecular biology, pharmaceutical sciences, or toxicology. An MD with substantive drug development experience also qualifies.
    
- **Experience:** 4+ years of substantive pharmaceutical or biotechnology research and development experience, at a pharmaceutical company, a biotechnology company, a contract research organization, or a translational research institute. Purely academic research with no drug development exposure is a weaker fit.
    
- **Domain depth:** Genuine specialization in at least one stage of the pipeline, for example target identification and validation, medicinal chemistry and lead optimization, preclinical pharmacology and toxicology, translational and biomarker science, clinical development, or regulatory affairs and CMC.
    
- **Seniority:** Clear progression to a senior level, for example Senior Scientist, Principal Scientist, Director of Research, or a VP level R&D role, with real ownership of a discovery project or development program.
    
- **Research record:** Peer-reviewed publications, granted patents, or contributions to programs that reached the clinic. Strongly preferred.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Pharmaceutical R&D Domain 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

We are hiring a senior **biochemistry and life sciences domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real life sciences research work.

Your scientific expertise is the substance of this role. You will review the quality of life sciences knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of life sciences knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, mechanistic hand-waving, unsupported causal claims, and answers that read well but would not survive peer review.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to life sciences problems, and define new tasks that reflect how the research is actually done in practice.
    
- **Benchmarks and domain depth:** Design challenging life sciences tasks and evaluation sets, and help build domain-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit scientific judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Education:** PhD in biochemistry, molecular or cell biology, genetics, immunology, neuroscience, or a closely related life science.
    
- **Experience:** 4+ years of substantive research experience at a recognized institution, for example a research university, an academic medical center, a national laboratory, or an industrial research organization. Graduate coursework alone does not count.
    
- **Domain depth:** Genuine specialization in at least one area, for example molecular and cell biology, biochemistry and structural biology, immunology and immuno-oncology, genetics and genomics, neuroscience, or systems biology.
    
- **Seniority:** Clear progression to a senior level, for example Senior Scientist, Staff Scientist, Research Scientist, Instructor, Principal Investigator, or a faculty appointment, with real ownership of research direction.
    
- **Research record:** A record of peer-reviewed publications, ideally including first-author work in strong journals. Strongly preferred.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Biochemistry & Life Sciences Domain 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

We are hiring a senior **materials science domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real materials science and materials engineering work.

Your materials expertise is the substance of this role. You will review the quality of materials knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of materials science knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, unsupported structure to property claims, and answers that read well but would not survive technical scrutiny.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to materials problems, and define new materials tasks that reflect how the work is actually done in practice.
    
- **Benchmarks and domain depth:** Design challenging materials science tasks and evaluation sets, and help build materials-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit materials judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Education:** PhD in materials science, materials engineering, or a closely related discipline such as chemistry, chemical engineering, applied physics, or metallurgy. A master's degree with exceptional industrial depth may be considered.
    
- **Experience:** 4+ years of substantive research or industrial R&D experience in materials, at a research university, a national laboratory, or an industrial research organization. Graduate coursework alone does not count.
    
- **Domain depth:** Genuine specialization in at least one area, for example energy storage and battery materials, semiconductors and electronic materials, polymers and soft matter, structural alloys and metallurgy, characterization and microscopy, or computational materials and simulation.
    
- **Seniority:** Clear progression to a senior level, for example Senior Scientist, Staff Scientist, Research Lead, Principal Investigator, or a senior industrial R&D role, with real ownership of research direction.
    
- **Research record:** Peer-reviewed publications, granted patents, or shipped materials programs. Strongly preferred.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Materials Science Domain 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

We are hiring a senior **engineering and software domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real engineering and software development work.

Your engineering expertise is the substance of this role. You will review the quality of engineering knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

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. You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams.

**Location:** This is a **hybrid** role based in the **Bay Area, California**. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

## 2\. Key Responsibilities

- **Data QA and reviews:** Vet the quality of engineering knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, code that runs but is subtly wrong, unhandled edge cases, and answers that read well but would not survive a real code review.
    
- **Instruction specs and golden datasets:** Write high-quality instruction specs, produce golden solutions to engineering problems, and define new engineering tasks that reflect how the work is actually done in practice.
    
- **Benchmarks and domain depth:** Design challenging engineering tasks and evaluation sets, and help build engineering-specific skills and tools together with the research team.
    
- **Calibration:** Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit engineering judgment into explicit, teachable criteria.
    

## 3\. Core Qualifications

- **Education:** Bachelor's degree or higher in computer science, software engineering, or a closely related engineering discipline. An MS or PhD is strongly preferred.
    
- **Experience:** 4+ years of substantive professional engineering practice, building and shipping production software or engineered systems at a reputable organization. Internships and academic coursework alone do not count.
    
- **Domain depth:** Genuine specialization in at least one area, for example distributed systems and backend infrastructure, security and cryptography, embedded and firmware, machine learning systems, developer tooling and platform engineering, or quality and test engineering.
    
- **Seniority:** Clear progression to a senior level, for example Senior, Staff, Principal, Architect, or Engineering Lead, with real ownership of systems and design decisions.
    
- **Technical evidence:** A visible record of engineering output such as shipped systems, granted patents, open source contributions, or published technical work. Preferred.
    
- **AI fluency:** Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
    
- **Availability:** Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
    
- **Location:** Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
    
- Excellent written communication, and the ability to give precise, well-structured written feedback.
    

## 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.

Engineering & Software Domain Expert

**Role Overview**

Mercor is running a short, structured evaluation pilot to measure how frontier AI models perform on realistic professional work — and how experienced practitioners judge that work. We are hiring 50 experts across two business domains. Each expert completes one task, then evaluates five model attempts at that same task. This is a one-time study, not ongoing production work.

**What You'll Do**

- Sign an NDA before receiving any materials.
    
- Solve one realistic, domain-specific task using the source files provided.
    
- Review five model-generated outputs for that task. Rank them 1–5 with no ties, score each 0–100, and write evidence-based rationales that cite specific parts of the output.
    
- Provide structured feedback on the task itself and on the study design.
    

**Time Commitment**

Estimated 8-12 hours.

**Study Conditions**

- No rubric and no golden answer are provided. Your professional judgment is the measurement.
    
- Use of LLMs or other AI assistants is prohibited at every stage — solving, ranking, scoring, and writing rationales.
    

**Domains we are focused on**

- Human Resources
    
- Accounting
    

**Who We're Looking For**

- 5+ years of hands-on professional experience in one of the two domains above.
    
- Currently or recently practicing, so you can judge the work the way a working professional would.
    
- Able to write a clear, specific, evidence-grounded rationale for a judgment.
    
- Reliable within a short turnaround window.
    

**Eligibility Restriction**

You are not eligible for this pilot if you have worked on Project Alchemy in any capacity — task author, reviewer, world expert, or anyone who has had access to its source world data. Prior exposure to that material would invalidate the study.

Business Domain Expert — AI Model Evaluation Pilot (Admin, Marketing, HR, Accounting)

**Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery.** They're extending their platform into new areas of pharmaceutical development and are looking for hands-on preclinical R&D experts across drug modalities to help guide what they build.

Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic — and curious how AI is reshaping drug discovery? This is a hands-on role that blends your wet-lab and translational experience with a growing understanding of how scientific data trains the next generation of AI models.

**In this role, you'll:**

- Review technical materials and real-world R&D data in your area of expertise

- Label, classify, and annotate scientific data and model outputs to improve model performance

- Provide expert perspective on key scientific and development decisions (target/modality selection, optimization, trade-offs, risk)

- Help define structure and quality standards for the client's dataset pipeline

- Participate in expert discussions, interviews, and research engagements

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

- Have hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets in-house and has taken programs to the clinic — Must Have

- Work in a core R&D function: discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD, toxicology, or CMC/formulation — Must Have

- Have hands-on experience with one or more drug modalities (small molecules, monoclonal antibodies, peptides, ADCs, bispecifics, mRNA, siRNA, ASOs, PROTACs, molecular glues, cell therapies, gene therapies, radioligand therapies, etc.) — Must Have

- Have 5+ years of relevant industry R&D experience (flexible based on depth)

- Have taken a program through lead optimization or IND-enabling/preclinical development (nice to have)

- Have experience at mid-sized, emerging, or resource-constrained biotech — ideally currently outside the top-20 pharmaceutical companies (nice to have)

This is a hands-on preclinical R&D role — likely **not the right fit** if your work is mainly CRO/CDMO services, academic-only, QC/analytical-only, clinical-development-only, diagnostics, or regulatory/medical-writing.

Your work will directly feed into the models reshaping how medicines are discovered, helping intelligent systems reason about real-world pharmaceutical R&D.

**Here are more details about the role:**

- You will interface directly with the client team.

- This is an ongoing, part-time engagement of roughly 10 hours per week.

- Seniority welcome from individual contributor through Director.

Preclinical R&D Expert – In-house Drug Development

**About the work**

We're building a high-quality dataset of human preference judgments on AI-generated frontend code. Each task hands you a reference web page — crawled from the real internet, delivered as a full zipped site tree plus screenshots of its default view and, on some pages, additional states reached by hovering, clicking, or scrolling. Alongside it come two model attempts, A and B, each a zipped self-contained site tree. The models only ever saw the screenshots; they never had the source.

You download all three, run them locally, view each at a 1920×1080 viewport, interact with them to reach every required state, then open the source of both attempts and grade them against each other — on visual fidelity per state, and on how the code is actually constructed. Structure and responsiveness are explicitly part of the rubric, not just the render.

This is evaluation work, not authoring. The defining skill is not that you can build a page — it's that you can open someone else's page and tell how it was built and where it cheats.

**Please read before applying**

- Each unit takes roughly 2–3 hours and is timed. This is not microtask work; if you can only offer scattered 15-minute windows, you will not be able to finish a unit.
    
- You need a real local development environment. A tablet, a Chromebook, or a locked-down work machine that cannot run a local static server will not work for this project.
    
- You need at least one completed Mercor engagement, delivered in full. We are not onboarding net-new experts to this project.
    

**What you'll do**

- Render a reference page and two candidate replications at 1920×1080 and judge which is the closer reproduction, state by state.
    
- Diff visual fidelity in detail: box model and spacing, typography (family, size, weight, line-height, letter-spacing), color and border treatment, image and asset handling, z-order and overflow.
    
- Read the source of both attempts and grade construction quality — distinguishing a replication that is genuinely correct from one that merely looks correct at one viewport. Hardcoded pixel offsets, absolute positioning standing in for real layout, inline style soup, a single undifferentiated div tree, or a screenshot pasted in as an `<img>` instead of a rebuilt section.
    
- Test responsiveness: a nav bar that looks right at 1920px but collapses at 1400px is a defect, and you should be able to say precisely why.
    
- Write a specific, evidence-cited justification for every preference. We need "B nests the article body in a single absolutely-positioned div, so the text overlaps the footer below 1600px, while A uses normal document flow" — not "A looks closer."
    
- Use the "this task is broken" escape hatch with judgment: distinguish a task that genuinely cannot be completed from the screenshots provided from one that is merely hard. Over-flagging and under-flagging are both failure modes.
    

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

- 3–8 years of professional web development experience, shipping web interfaces for a living, primarily in frontend or full-stack work.
    
- Fluency across web eras. The reference pages are real crawled sites — one is a small charter-fishing business built in the table-and-image-map tradition, another a corporate press-release page with stacked navigation rows and social share widgets. If your entire career happened inside a modern component framework and you have never authored raw CSS or seen a `<table>` used for layout, you will misjudge many of these pages.
    
- Command of hand-written HTML and CSS: semantic markup, flexbox, grid, media queries, and legacy float- and table-based layouts you can read and reason about. You should be able to look at a rendered layout and predict what's holding it together before opening DevTools.
    
- Browser DevTools as muscle memory — setting an exact viewport, walking the element tree, checking computed styles, watching what a hover handler mutates.
    
- Command-line comfort: unzipping an archive, standing up a static local server because the relative asset paths demand it, and untangling a broken image reference rather than giving up and grading from the screenshot.
    
- Enough JavaScript to read a page's scripts and understand what they do to the DOM, even if you don't write JS daily.
    
- Professional written English. Every task ends in a free-text justification, and a rating without a specific rationale is worth very little.
    

**Equipment**

- A desktop or laptop that displays a 1920×1080 viewport.
    
- Administrator rights on your own machine, so you can install and run a local server.
    

**Nice to have**

- Prior RLHF, preference-labeling, model-evaluation, or structured code-review work — the strongest single signal. Rubric-driven comparison at volume needs almost no ramp here.
    
- Pixel-perfect design-to-code experience: agency work, design systems, template production. Anyone who has had a designer reject a build over four pixels has exactly the fidelity eye this needs.
    
- Accessibility expertise (ARIA, semantic landmarks, heading hierarchy) — you'll notice immediately when an attempt renders a heading as a styled `<span>`.
    
- Familiarity with how LLMs fail at code generation.
    
- Web scraping, archiving, or DOM-parsing background — comfort with messy crawled site trees.
    
- More than one completed Mercor project, and availability in contiguous multi-hour blocks.
    

**Note:** this seat is for practicing web developers. Backend-only, ML/data-science-only, mobile-native-only, and DevOps-only engineers do not have the UI instincts this requires, however strong they are otherwise. Designers who do not code cannot grade the source axes at all. Framework-only engineers who have never authored CSS outside a component library will struggle with the legacy reference pages.

Frontend Engineer

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 **litigation & disputes lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **litigation, disputes, or contentious** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in Japan** (bengoshi, or registered foreign lawyer / gaikokuho jimu bengoshi), with a strong command of Japanese litigation and procedural law
- Native or fluent **Japanese**, with 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

Litigation Lawyer (Japan)

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 **litigation & disputes lawyers** 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

- **Primarily law-firm / chambers experience** — at least **2 years (3+ preferred)** at a law firm or barristers' chambers in **litigation, disputes, or contentious** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a firm/chambers.
- **Qualified to practise in Australia**, with a strong command of Australian litigation and procedural law
- Native or fluent **English**, with 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

Litigation Lawyer (Australia)

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 **litigation & disputes lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **litigation, disputes, or contentious** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in France** (avocat/e), with a strong command of French litigation and procedural law
- Native or fluent **French**, with 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

Litigation Lawyer (France)

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 **litigation & disputes lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **litigation, disputes, or contentious** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in Spain** (colegiado/a), with a strong command of Spanish litigation and procedural law
- Native or fluent **Spanish**, with 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

Litigation Lawyer (Spain)

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 **corporate/M&A lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **corporate/M&A or transactional** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in Japan**, with a strong command of Japanese corporate and commercial law
- Native or fluent **Japanese**, with 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

Corporate/M&A Lawyer (Japan)

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 **corporate/M&A lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **corporate/M&A or transactional** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in Australia**, with a strong command of Australian corporate and commercial law
- Native or fluent **English**, with 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

Corporate/M&A Lawyer (Australia)

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 **corporate/M&A lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **corporate/M&A or transactional** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in Germany**, with a strong command of German corporate and commercial law
- Native or fluent **German**, with 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

Corporate/M&A Lawyer (Germany)

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 **corporate/M&A lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **corporate/M&A or transactional** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in Spain**, with a strong command of Spanish corporate and commercial law
- Native or fluent **Spanish**, with 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

Corporate/M&A Lawyer (Spain)

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 **corporate/M&A lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **corporate/M&A or transactional** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
- **Qualified to practise in France**, with a strong command of French corporate and commercial law
- Native or fluent **French**, with 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

Corporate/M&A Lawyer (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 **corporate/M&A lawyers** 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

- **Primarily law-firm experience** — at least **2 years (3+ preferred)** at a law firm in **corporate/M&A or transactional** practice. If you are currently in-house, that is fine only if you moved in-house **within the last 2 years** and your prior experience was at a law firm.
    
- **Qualified to practise in the United Kingdom**, with a strong command of UK corporate and commercial law
    
- Native or fluent **English**, with 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

Corporate/M&A Lawyer (United Kingdom)

Are you a Level 3 / Tier 3 network support engineer interested in data science and autonomous infrastructure? Our client is building vertically integrated networking systems and using the data they generate to power the next generation of AI-driven infrastructure. They're looking for engineers experienced in final escalations, packet analysis, troubleshooting, and RCA workflows to help label, annotate, and structure networking data from real production systems.

This is a hands-on role that blends your L3 troubleshooting and incident-response experience with a growing understanding of how data pipelines are built and used in AI systems.

**In this role, you'll:**

- Review real-world data from deployed networks: logs, configs, telemetry, event streams
    
- Label and classify network behaviors, issues, anomalies, and incident patterns
    
- Help define schemas and structure for large-scale data pipelines that downstream ML models will train on
    

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

- Work today as a Level 3 / Tier 3 / Principal Support Engineer keeping existing enterprise infrastructure online and stable — on-call rotation, RCAs, final escalations, troubleshooting outages — Must Have
    
- Have hands-on experience with end-customer enterprise networks (switches, APs, firewalls in retail, healthcare, financial, manufacturing, university, hospitality, etc.) — Must Have
    
- Bring hands-on Wi-Fi/wireless proficiency — enterprise WLAN controllers (Cisco WLC, Aruba, or Meraki), 802.1X/RADIUS, and wireless troubleshooting — Must Have
    
- Do packet-level troubleshooting yourself — Wireshark, tcpdump, SPAN captures
    
- Are curious about how raw infra data becomes machine learning input
    

This is a **maintainer** role — likely not the right fit if your current work is mainly network design/architecture, cloud/SRE, security/SOC, or IT helpdesk.

Your work will directly feed into the pipelines that power client's AI models, and help shape how intelligent systems reason about networks in the real world.

**Here are more details about the role:**

- You will interface directly with the client team.
    
- You are expected to work 30-40 hours/week, with your hours overlapping the Pacific (PT) business day.
    
- This is an individual 1099 contract paid to a personal account — no corp-to-corp or agency billing.
    
- You must be authorized to work in the US or Canada without sponsorship.

Network Engineer - Data for Autonomous Systems annotation

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 **pharmacy benefit and PBM decision-makers at health plans and health insurers** to take part in a short online survey about how their organisation selects, manages, and contracts with pharmacy benefit managers (PBMs). Insights gathered will help inform the development of AI tools designed to improve how health plans manage pharmacy benefits and serve their members.

## Responsibilities

Participants will be asked to:

- Complete a structured ~25-minute online survey

- Share perspectives on PBM selection, contracting, formulary decisions, and specialty pharmacy arrangements

- Submit all responses within the given timeline

## Requirements

- Work for a **health plan or health insurer**, a **provider-sponsored health plan** owned by a health system, or a **third-party administrator (TPA) that makes its own PBM decisions**

- Hold a **role in your organisation's pharmacy benefit and PBM decisions** — final decision-maker on PBM selection, member of the PBM selection committee, strong influencer on the decision, or day-to-day manager of the PBM relationship

- Current title such as **Chief Medical Officer or Medical Director, Chief Pharmacy Officer, VP or Director of Pharmacy, Chief Financial Officer or VP of Finance, VP of Procurement or Supply Chain, VP of Network or Provider Contracting, Chief Compliance Officer or VP of Regulatory Affairs, PBM contract or vendor relationship manager, Manager or Director of Clinical Pharmacy Programs**, or a pharmacy operations, finance, quality, or contracting manager or director

- Based in the **United States**

- Able to independently complete a ~25-minute online survey

Please note: employees of pharmacy benefit managers (PBMs), benefits consultants, brokers or advisors, employers, and hospitals or health systems without their own health plan are not eligible for this study.

## Engagement Details

- **Format:** Online survey

- **Duration:** Approximately 25 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 managing pharmacy benefits and PBM relationships

Health Plan PBM Contracting Survey – Pharmacy Benefit Decision-Maker Insights

**Role Overview**

We are seeking expert philosophers to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core philosophy domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of philosophy expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Philosophy Domains Covered**

Formal Ontology & Knowledge Representation, AI Ethics, Applied Epistemology, Philosophy of Technology & Robotics, Philosophy of Science.

**Key Responsibilities**

- Author original philosophy questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Philosophy or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of philosophical argumentation, formal logic, and canonical texts across traditions
    
- Research publications or teaching experience in philosophy is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Philosophy Benchmark Specialist

**Role Overview**

We are seeking experts in history and political science to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core history and political science domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**History & Political Science Domains Covered**

National Security, Public Policy, Business History, Environmental History, Latin American History.

**Key Responsibilities**

- Author original history and political science questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in History, Political Science, International Relations, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of historiographical methods, political theory, and comparative analysis
    
- Research publications or policy experience is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied History & Political Science Benchmark Specialist

**Role Overview**

We are seeking expert psychologists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core psychology domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of psychology expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Psychology Domains Covered**

Neuromorphic Engineering, Human Factors and Engineering Psychology, Consumer and Market Psychology, Psychometrics, Digital Health, Psychedelic-assisted Therapy.

**Key Responsibilities**

- Author original psychology questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD, PsyD, or doctoral candidate in Psychology or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level psychological theory, research methodology, and empirical literature
    
- Clinical licensure or research publications in psychology is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Psychology Benchmark Specialist

**Role Overview**

We are seeking expert biologists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core biology domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of biology expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Biology Domains Covered**

Pharmaceutical Manufacturing, Industrial and Synthetic Biology, Medical Research & Drug Discovery, Agricultural, Environmental & Food Biology.

**Key Responsibilities**

- Author original biology questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Biology, Molecular Biology, Biochemistry, Neuroscience, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level biological concepts, experimental design, and data interpretation
    
- Research publications or laboratory experience in biological sciences is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Biology Benchmark Specialist

**Role Overview**

We are seeking legal experts to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core law domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of legal expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Law Domains Covered**

Intellectual Property, Privacy, and Technology, Regulatory and Government Affairs, Securities, Capital Markets, Financial Regulation & Compliance, Private Equity, M&A & Transaction Structuring, Antitrust, Merger Control & Competition, Healthcare, Life Sciences, & Pharmaceuticals, Environmental, Energy, & ESG/Climate.

**Key Responsibilities**

- Author original law questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, legal repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- JD, LLM, SJD, or doctoral candidate in Law or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of legal reasoning, statutory interpretation, and jurisprudential theory
    
- Experience with bar exam writing, legal academia, or judicial clerkships is a strong plus
    
- Excellent written English and ability to express complex legal ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Legal Benchmark Specialist

**Role Overview**

We are seeking expert economists and finance professionals to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core economics and finance domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Economics & Finance Domains Covered**

Algorithmic Trading & Market Microstructure, Macroprudential Policy, Behavioral Finance & Experimental Economics, Urban Economics, Tokenomics & Decentralized Finance.

**Key Responsibilities**

- Author original economics and finance questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Economics, Finance, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level economic theory, quantitative methods, and financial modeling
    
- Experience with academic research, CFA/CPA certification, or financial industry expertise is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Economics & Finance Benchmark Specialist

**Role Overview**

We are seeking expert medical and health science professionals to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core health and medicine domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of medical expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Health & Medicine Domains Covered**

Clinical Medicine & Surgery, Medical Imaging & Diagnostics, Pharmacovigilance, Healthcare Management & Economics, Rehabilitation and Allied Health.

**Key Responsibilities**

- Author original health and medicine questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, clinical guidelines)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- MD, DO, PhD, or doctoral candidate in Medicine, Biomedical Sciences, Public Health, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level medical knowledge, clinical reasoning, and biomedical research methodology
    
- Board certification, clinical experience, or research publications in health fields is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Health & Medicine Benchmark Specialist

**Role Overview**

We are seeking business and commerce experts to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core business domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of business expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Business & Commerce Domains Covered**

Logistics / Supply Chain Management, Operations Research Analysis, Sustainability, Management Analysis, Product Management and Strategy, Digital Marketing.

**Key Responsibilities**

- Author original business questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise reasoning in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD, DBA, or doctoral candidate in Business Administration, Management, Marketing, or a closely related field
    
- MBA or Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level business strategy, organizational theory, and quantitative methods
    
- Industry leadership experience or research publications in business fields is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Business & Commerce Benchmark Specialist

**Role Overview**

We are seeking expert mathematicians to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core mathematics domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of mathematical expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Mathematics Domains Covered**

Signal Processing, Financial Mathematics & Actuarial Science, Mathematical Economics, Mathematical Modeling of Ecological & Biological Systems, Mathematical Programming & Combinatorial Optimization, Geomathematics & Climate Modeling.

**Key Responsibilities**

- Author original math questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Mathematics, Applied Mathematics, Statistics, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level mathematical concepts and formal proof writing
    
- Experience with rigorous academic problem design or mathematical competition writing is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Mathematics Benchmark Specialist

**Role Overview**

We are seeking expert chemists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core chemistry domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of chemistry expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Chemistry Domains Covered**

Materials, Polymer & Electronic Chemistry, Industrial & Process Chemistry, Energy Storage & Environmental Chemistry, Pharmaceutical & Agrochemical Chemistry, Consumer, Food & Specialty Chemicals.

**Key Responsibilities**

- Author original chemistry questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis
    
- Experience with rigorous academic problem design or chemistry olympiad writing is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Chemistry Benchmark Specialist

**Role Overview**

We are seeking expert physicists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core physics domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of physics expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Physics Domains Covered**

Semiconductor Physics, Nanoelectronics & Spintronics, Photonics, Quantum Optics & Ultrafast, Quantum Sensing & Metrology, Plasma Physics & Fusion Energy, Nonlinear Dynamics & Turbulence, Geophysics & Reservoir Simulation.

**Key Responsibilities**

- Author original physics questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Physics, Applied Physics, Astrophysics, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level physics concepts and mathematical formalism
    
- Experience with rigorous academic problem design or physics olympiad writing is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Physics Benchmark Specialist

**Role Overview**

We are seeking expert engineers to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core engineering domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of engineering expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Engineering Domains Covered**

Semiconductor Design & Manufacturing (VLSI), Control Science and Engineering, Mechatronics, Reactor, Plant Design & Separations, Reservoir Engineering & Maintenance, Bioinstrumentation & Biotechnology.

**Key Responsibilities**

- Author original engineering questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Engineering or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level engineering principles, applied mathematics, and domain-specific standards
    
- Professional engineering licensure (PE) or industry experience is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Engineering Benchmark Specialist

**Role Overview**

We are seeking expert computer scientists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core computer science domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types:

- **Question Authoring** — Create original, challenging multiple-choice questions in your area of computer science expertise, rate their difficulty, and submit them for review.
    
- **Question Verification** — Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.
    

**Computer Science Domains Covered**

Accelerator / GPU Kernel Engineering, Formal Methods & Automated Reasoning, Computer Architecture & Accelerators, Distributed Systems, DevOps & Site Reliability, Data Engineering & Databases, Cloud & Infrastructure, OS & Systems Kernel, Machine Learning Engineering, Web & API Development, Embedded Systems Engineering, Computer Graphics & Game Development, Mobile Engineering.

**Key Responsibilities**

- Author original computer science questions that test deep conceptual understanding, not surface-level recall
    
- Ensure questions are unambiguous, self-contained, and precisely defined — all necessary information must be in the problem statement
    
- Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
    
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
    
- Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
    
- Supply 1–5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
    
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made
    

**Ideal Qualifications**

- PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field
    
- Master's degree considered for candidates with exceptional depth in a specific subdomain
    
- Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning
    
- Research publications, industry experience at top tech companies, or competitive programming background is a strong plus
    
- Excellent written English and ability to express complex ideas clearly and concisely
    

**More About the Opportunity**

- Expected commitment: 10+ hours/week
    
- Asynchronous, fully remote work

Applied Computer Science Benchmark Specialist

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