Mercor’s Talent Success team is hiring! Our Talent Success team is responsible for ensuring everyone using our platform is having a delightful experience end to end, from applying to job listings, taking our AI-led interviews, accepting offers on our platform, and getting paid for their hard work.

## **About the Role**

Mercor has thousands of users joining the platform each week to interview for different roles our clients have posted. When they run into issues or have questions and reach out for help, you will be responsible for giving them a speedy and delightful experience.

You will work directly with our engineering team, triaging and investigating bug reports so being super savvy with modern websites and issues SaaS-type applications run into will come in handy.

Since your conversations with the talent applying on our platform will often be the first interaction someone has with Mercor, maintaining an enthusiastic, upbeat tone while writing at native English level proficiency is important. We use a lighthearted and informal tone in our support communication while at the same time being very professional and precise in our replies.
Note: This is a full time employment opportunity with Mercor India.

**Key Responsibilities**

- Respond to support requests from Mercor’s talent pool who have a question or issue applying for roles on our platform
    
- Triage and investigate talent-reported issues. Identify redundancies and plan-execute-monitor day to day talent success workflows for improving experience for our talent where it matters the most.
    
- Proactively identify and document recurring user pain points/issues, sharing actionable insights with product and engineering teams to **reduce support volume and improve self-serve experiences**
    
- Build talent-facing documentation to answer common questions we get in our support queue
    
- Advocate for our users internally—help shape the product by championing their feedback and needs.
    
- Maintain enthusiasm and positivity while writing replies in near-perfect English
    

**Qualifications**

- 1–3 years of experience in customer success, operations, or product support in a SaaS or marketplace environment
    
- Strong communication and problem-solving skills, with a proven ability to de-escalate issues and keep users happy.
    
- Experience using a support platform (like Zendesk, Intercom, Help Scout, Freshdesk, Crisp)
    
- Natural product intuition—you notice friction points, think through solutions, and can articulate them clearly to non-support teams
    
- Comfort working cross-functionally to drive resolutions through process or product improvements rather than manual fixes
    

At Mercor, we recognize that exceptional ability comes in all forms, a core philosophy on which we built our platform. Because of this, we welcome candidates from diverse backgrounds with unique experiences and transferable skill sets, even if they don't meet all the preferred qualifications listed above.

## **About Mercor**

Founded in 2023, Mercor is advancing the frontier of AI with human intelligence. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise brings the same expert network and evaluation infrastructure to Fortune 500 companies deploying AI in production.

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

Customer Success - Operations (India Region)

## The role

We're hiring working editorial and media professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Three roles. Apply to the one that's actually yours:

- **Editors.** 4+ years editing other people's copy to a house style, with responsibility for what published.
    
- **News Analysts, Reporters and Journalists.** 4+ years reporting and filing your own stories, with sourcing you had to stand behind.
    
- **Film and Video Editors.** 4+ years cutting finished pieces on a professional timeline, delivered to a client or a broadcast spec.
    

We want people who know the field cold: anyone who has killed a story that would not stand up, sent copy back with a sourcing problem flagged, or caught a legal or factual issue before it published. Less of a fit are content marketers writing their own copy without an editorial chain, and people whose editing experience is entirely their own work.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

Editorial and Media Practice Reviewer

## The role

We're hiring working wholesale and technical sales professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Three roles. Apply to the one that's actually yours:

- **Sales Representatives, Technical and Scientific Products.** 4+ years selling technical or scientific products where you had to size, spec and quote them yourself.
    
- **First-Line Supervisors of Non-Retail Sales Workers.** 4+ years managing a B2B or distribution sales team, its quota and its pipeline.
    
- **Order Clerks.** 3+ years in order entry and management for a distributor or manufacturer, working real quotes, POs and backorders.
    

We want people who know the field cold: anyone who has caught a quote that was specced wrong, corrected a rep's proposal before it reached a customer, or untangled an order that shipped against the wrong terms. Less of a fit are transactional or SDR-style sellers who never specced a product, and account managers who only ever renewed existing business.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

Wholesale and Technical Sales Reviewer

## The role

We're hiring working public sector professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Five roles. Apply to the one that's actually yours:

- **Compliance Officers.** 4+ years in a regulatory, licensing or program-compliance role, writing findings someone had to act on.
    
- **Administrative Services Managers.** 5+ years running facilities, records, procurement or general services for a public agency or institution.
    
- **Child, Family and School Social Workers.** Licensed where your state requires it, 4+ years carrying your own caseload.
    
- **Recreation Workers.** 4+ years running programs for a parks department, community center, camp or school district, including the staffing and the safety plans.
    
- **First-Line Supervisors of Police and Detectives.** 4+ years as a sworn supervisor at sergeant rank or above.
    

We want people who know the field cold: anyone who has written a finding, a case plan, an incident review or a corrective action that someone else was accountable to. Less of a fit are policy analysts who researched programs without ever administering one, and private-sector equivalents, since these tasks turn on public procurement, mandated reporting and public-records rules.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

Public Sector Practice Reviewer

## The role

We're hiring working real estate professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Four roles. Apply to the one that's actually yours:

- **Real Estate Sales Agents.** Active US state license, 4+ years closing your own transactions.
    
- **Property and Community Association Managers.** 4+ years managing real portfolios or HOAs, including their budgets and their reserves.
    
- **Real Estate Brokers.** Active broker license, 5+ years supervising agents and carrying the compliance responsibility that comes with it.
    
- **Counter and Rental Clerks.** 3+ years in equipment, vehicle or property rental, handling agreements, deposits and damage claims.
    

We want people who know the field cold: anyone who has caught a defective disclosure, corrected an agent's contract, reconciled a reserve study against an actual budget, or handled a commission dispute. Less of a fit are people whose license is inactive or referral-only, and investors or analysts who have never sat on the practitioner side of a transaction.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

Real Estate Practice Reviewer

## The role

We're hiring working retail and pharmacy professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Four roles. Apply to the one that's actually yours:

- **Pharmacists.** Active US pharmacist license, 4+ years dispensing and counseling in community or retail practice.
    
- **Private Detectives and Investigators.** Licensed where your state requires it, 4+ years running your own casework and writing the reports.
    
- **General and Operations Managers.** 5+ years owning a store or multi-site P&L, its staffing and its inventory.
    
- **First-Line Supervisors of Retail Sales Workers.** 4+ years supervising a sales floor, its schedule and its shrink.
    

We want people who know the field cold: anyone who has caught someone else's error before it reached a customer, whether that is a DUR intervention, a bad surveillance report, or an inventory count that did not hold up. Less of a fit are corporate category or merchandising staff who never ran a location, and PIs whose work is entirely public-records lookup.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

## First step

Your first step is a short recorded interview about your own area of expertise, around 15 minutes. Once you're on the project, your first task is a brief intake profile you complete yourself, unaided.

Retail and Pharmacy Practice Reviewer

## The role

We're hiring working manufacturing professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Five roles. Apply to the one that's actually yours:

- **Buyers and Purchasing Agents.** 5+ years placing real POs and negotiating with suppliers you were accountable for.
    
- **First-Line Supervisors of Production and Operating Workers.** 5+ years running a shift or a line, owning the schedule and the people on it.
    
- **Mechanical Engineers.** 4+ years designing parts or systems that got built. PE a plus.
    
- **Industrial Engineers.** 3+ years doing capacity, throughput, layout or time studies that changed how a plant ran.
    
- **Shipping, Receiving and Inventory Clerks.** 4+ years owning receiving, cycle counts and inventory accuracy in a real warehouse or plant.
    

We want people who know the field cold: anyone who has done a root-cause investigation, run a PPAP or first-article inspection, owned a cycle-count variance, or had to explain to an operator why a method sheet was wrong. Less of a fit are people whose experience is entirely planning software rather than the floor, and engineers who only ever ran simulations.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

Manufacturing Operations Reviewer

## The role

We're hiring working professional services practitioners to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Five roles. Apply to the one that's actually yours:

- **Project Management Specialists.** 5+ years running real project plans, schedules and budgets that other people worked to. PMP a plus.
    
- **Lawyers.** US-qualified and in active practice, 4+ years post-admission, drafting your own documents rather than only reviewing.
    
- **Accountants and Auditors.** 4+ years owning a close, an audit file or a set of financial statements. CPA or CA strongly preferred.
    
- **Software Developers.** 3+ years shipping production code that other engineers maintained after you.
    
- **Computer and Information Systems Managers.** 4+ years owning an IT function, its budget and its vendors.
    

We want people who know the field cold: anyone who has reviewed a junior's work product, signed an audit opinion, run a code review that changed a design, or been through a project post-mortem. Less of a fit are people who managed the function without ever producing the artifact, and certification-only candidates with no delivery history.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

Professional Services Practice Reviewer

## The role

We're hiring working finance and insurance professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Five roles. Apply to the one that's actually yours:

- **Financial Managers.** Controllers, FP&A leads, treasury or finance directors. 5+ years owning a budget, a forecast or the close.
    
- **Securities, Commodities & Financial Services Sales Agents.** Active Series 7 plus 63 or 66, and 4+ years placing trades or running your own book.
    
- **Personal Financial Advisors.** 4+ years advising your own client households. CFP or Series 65 preferred.
    
- **Financial & Investment Analysts.** 3+ years building models that someone actually made decisions on. CFA a plus.
    
- **Customer Service Representatives.** 4+ years on a bank, brokerage or insurance carrier service desk, handling claims, policy changes or account servicing.
    

We want people who know the field cold: anyone who has reviewed a junior's model, signed off on a suitability file, or sat through an audit or a regulatory exam. Less of a fit are people who read research without ever producing it, and equivalents from outside the US market, since the tasks turn on SEC, FINRA and US state insurance specifics.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

Finance & Insurance Practice Reviewer

## The role

We're hiring working health care professionals to **audit AI work product in their own field**, not to produce it.

You'll see an AI agent's complete attempt at a realistic task from your job: the task as written, what the agent did, the files it produced, and the scoresheet an AI grader filled in afterwards. You bring the judgment of someone who does this work for a living, and answer four questions:

1. **Is this a real task?** Would it come up in this job, described this way? Realistic, borderline, or contrived.
    
2. **Is the domain content right?** Are the standards, figures, regulations and constraints accurate and consistent, or is something subtly wrong in a way only a practitioner would catch?
    
3. **Does the grading hold up?** The grader answered eleven yes/no questions about the finished work: correct format, fabricated figures, requirements met, terminology, and so on. You go through them with the files open and say where you disagree, and why.
    
4. **Is the score defensible?** Band the work yourself. Could a practitioner use it? Accept it? Then check the reported score against your band.
    

About an hour per item. You never perform the task or redo the agent's work.

## Who we're looking for

Five roles. Apply to the one that's actually yours:

- **Registered Nurses.** 5+ years post-licensure bedside care, active US license. Charge nurse or preceptor experience ideal.
    
- **Nurse Practitioners.** Board-certified, 3+ years running your own patient panel.
    
- **Medical & Health Services Managers.** Practice managers, clinic administrators, department directors. 5+ years owning a clinical budget.
    
- **First-Line Supervisors of Office & Administrative Support.** Patient access, HIM, scheduling or billing leads. 4+ years supervising in a clinical setting.
    
- **Medical Secretaries & Administrative Assistants.** 4+ years of scheduling, clinical correspondence and records in a practice or hospital department.
    

We want people who know the field cold: chart auditors, preceptors, survey veterans, anyone who has had to explain to a colleague exactly why their work was wrong. Less of a fit are consultants who advised without owning the work, and equivalents from outside US health care, since the tasks turn on HIPAA, CMS and US payer specifics.

Also required: near-native business English, because you write a short reason for every judgment, and enough comfort with a spreadsheet or PDF to check whether the numbers in it reconcile.

## First step

Your first step is a short recorded interview about your own area of expertise, around 15 minutes. Once you're on the project, your first task is a brief intake profile you complete yourself, unaided.

Clinical & Health Care Operations Reviewer

We’re hiring an Enterprise Account Executive and B2B Sales Leader to create real business value for Mercor. This is a quota-carrying IC role owning the full sales cycle — prospecting, executive engagement, technical scoping, negotiation, and close.

**Note —** this opportunity requires an estimated 40 hours of work every week.

**What You’ll Do**

- Generate and qualify pipeline through outbound, executive relationships, events, and partnerships.
    
- Run consultative cycles with senior operators and technical leaders; build the business case that gets budget approved.
    
- Partner with Engineers to scope deployments, run POCs with clear success metrics, and negotiate multi-year agreements to signature.
    
- Expand accounts beyond the first deal, keep clean CRM hygiene, and forecast accurately.
    
- Feed market signal back to product and GTM leadership.
    

**What We’re Looking For**

- 3+ years of enterprise B2B sales experience, ideally selling technical or platform products to the Fortune 500.
    
- Track record of consistently hitting quota and closing complex, multi-stakeholder deals ($500K+ ACV).
    
- Comfort selling to both C-suite and technical buyers; able to translate ambiguous business problems into a concrete value thesis.
    
- Strong discovery, commercial negotiation, and pipeline-generation skills.
    
- Thrives in a fast-moving, high-autonomy startup environment.
    

**Nice to Have**

- Experience selling AI/ML, data, or professional-services solutions.
    
- History as an early or founding AE building a territory from scratch.

B2B Sales Expert (3+ YOE, US Only)

Mercor is seeking detail-oriented writing experts to contribute to a high-impact video AI research project with a leading lab. We're looking for detail-oriented annotators to evaluate short video clips. In each task you'll watch two videos side by side, compare them against a provided rubric, and score them. This is a short-term, flexible opportunity for professionals with strong academic backgrounds and a knack for instructional clarity. Ideal for those who enjoy distilling complex concepts into well-crafted text.

* * *

### **Job Details:**

- **Evaluate Paired Video Outputs:** Watch two short video clips presented side by side and compare them against a provided rubric across dimensions such as prompt adherence, motion quality, visual artifacts, and physical plausibility.
    
- **Score and Justify Preferences:** Assign rubric scores to each clip, select an overall preference between the two, and document a brief written justification supporting the decision where prompted**.**
    
- **Maintain Scoring Consistency:** Apply the same standard across high task volumes, holding calibration to the rubric steady so that judgments remain reliable and comparable throughout a production run.
    

### **Minimum Qualifications:**

- BS or BA from a reputable institution completed or in progress.
    
- Strong writing and critical thinking skills.
    
- Ability to work independently and meet deadlines.
    

### **Preferred Qualifications:**

- 2+ years of experience in teaching or research.
    

### **Application & Onboarding Process:**

- Complete an AI-led interview, this should take around 15 minutes.
    
- If selected, you will be invited to work on the project.
    

### **More Details About This Role:**

- Expect to contribute at least **20 hours per week**.
    
- Expect a commitment of around 1.5 weeks.
    
- You’ll be working in a structured project environment with clear goals and tools.

Video Evaluation Generalist

## About the Role

Mercor is hiring **certified medical coders** on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you will apply your coding and documentation expertise to **review, annotate, and evaluate clinical documentation and AI-generated clinical notes**, directly shaping the accuracy and reliability of medical AI systems.

This role is part of a **multilingual** annotation cohort. In addition to English, you should be able to speak, read, and write at least one other language at an advanced (C1 or above) level.

## Key Responsibilities

**Documentation & Coding Review**

- Review clinical documentation for accuracy, completeness, and coding integrity
    
- Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards
    
- Validate alignment between clinical documentation and assigned codes
    

**Annotation & Structured Feedback**

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

**Knowledge Contribution**

- Contribute expert input on annotation guidelines and documentation standards
    
- Raise clarifying questions where guidance is ambiguous and help refine the guidelines
    

## Required Qualifications

- **Active certification** — at least one of **CCDS, CHC, CCS, or CPC**
    
- **ICD-10 coding experience**
    
- Currently working in medical coding, clinical documentation improvement, or a closely related documentation role
    
- **US-based**
    
- In addition to English, **advanced (C1+) proficiency — speaking, listening, and writing — in at least one other language**
    
- Availability of at least **10 hours per week**
    

## Preferred Qualifications

- Additional certifications (CRC, CDIP, or similar)
    
- Familiarity with **Epic**
    
- Experience with HCC or risk-adjustment coding
    
- Prior **AI/ML annotation or model evaluation** work experience, with strong performance reviews
    

## Work Arrangement

- Remote, part-time — minimum 10 hours/week
    
- Flexible scheduling

Certified Medical Coder (ICD-10) — Multilingual Clinical Documentation & AI Evaluation

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring **Mexico-based disputes and international arbitration** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
    
- Review **six blinded AI deliverables** (labelled A–F) for that matter
    
- Make **five head-to-head comparisons** against a common comparator output
    
- Write a short, specific rationale for every preference
    

### Practice scope

International arbitration and award enforcement, cross-border disputes and emergency interim relief.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
    
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
    
- Precise written English
    
- Able to work independently to written instructions and a deadline
    

### Logistics

- **Commitment:** ~24 hours across the engagement.
    
- **Confidentiality:** all work is synthetically generated. External AI tools must not be used on any project material.

Legal Expert — Disputes & International, Mexico (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring **UK-based disputes and international arbitration** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

International arbitration and award enforcement, sanctions and export controls, cross-border disputes and emergency interim relief.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~24 hours across the engagement
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Disputes & International, UK (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. This listing covers the **scarcest specialisms** on the project, where subject-matter depth is hardest to source.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

One of: sanctions and export controls; structured finance and securitisation; or life sciences and pharmaceutical regulatory. Reviewers are assigned only to matters inside their own specialism.

### Requirements

- Qualified lawyer with deep, current practice experience in one of the specialisms above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~24–30 hours across the engagement, depending on specialism
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Tier 1 Specialist (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced **business immigration** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

L-1B blanket consular processing packet review, including the specialised knowledge standard and blanket L eligibility.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~6 hours across the engagement — this is a single-matter pod
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Immigration (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced **environmental** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

NEPA legal sufficiency review of a draft environmental impact statement, and CERCLA contribution claim defence and allocation.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~13 hours across the engagement
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Environmental (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced **regulatory, privacy and healthcare** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

Adviser compliance programs under Rule 206(4)-7, clinical and pharmaceutical data privacy (HIPAA and state law), ESG and sustainability disclosure, and DOJ False Claims Act CID response including Anti-Kickback and Stark analysis.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~30 hours across the engagement
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Regulatory, Privacy & Healthcare (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced **finance and real estate** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

Senior secured credit facility markup review, project finance credit agreements, RMBS closing exception review, tenant-favourable commercial leases and mixed-use development agreements.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~30 hours across the engagement
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Finance & Real Estate (Project Donna)

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced **corporate, capital markets and venture** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

Acqui-hire merger review, seller disclosure schedules, Rule 144A/Reg S closing opinions, and Series B venture financing opinions.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~24 hours across the engagement
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Corporate & Capital Markets (Project Donna)

## About the Role

Mercor is hiring **practicing Inpatient Hospitalists (MD)** on behalf of a healthcare AI partner building advanced clinical documentation and decision-support tools. In this role you will apply your active inpatient expertise to **review, annotate, and evaluate hospital clinical documentation**, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.

This role is designed for physicians with a **current inpatient practice** who write and read hospital documentation as part of their regular work.

**This is a multilingual cohort.** In addition to English, you must be able to speak, listen, and write in at least one other language at an **advanced (C1) level or above**.

## Key Responsibilities

**Clinical Documentation Review**

- Review inpatient documentation — H&Ps, daily progress notes, and discharge summaries — for accuracy, completeness, and clinical soundness
    
- Evaluate AI-generated inpatient notes and summaries against what a practicing hospitalist would actually document
    

**Annotation & Structured Feedback**

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

**Knowledge Contribution**

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

## Required Qualifications

- **MD** — hospitalist or internal medicine — with **2+ years post-residency** and a **current inpatient practice**
    
- **US-based**
    
- **Hands-on experience writing and reading at least one of the following: H&Ps, progress notes, discharge summaries**
    
- In addition to English, **advanced (C1 or above) proficiency — speaking, listening, and writing — in at least one of the following languages:**
    
    - Spanish · Chinese (Mandarin) · Chinese (Cantonese) · Tagalog · Russian · Haitian Creole
        
    - Korean · Arabic · Portuguese · Polish · Japanese
        
    - Turkish · Italian · Ukrainian · Romanian · Finnish · French · Danish · Catalan · Hungarian · Czech · German · Bulgarian · Indonesian · Dutch
        
- **Minimum availability of 10 hours/week**
    

## Preferred Qualifications

- 5+ years of experience post-residency
    
- Familiarity with **Epic**
    
- Prior **AI/ML annotation or model evaluation** work experience, with strong performance reviews
    
- Experience documenting patient care in a language other than English
    

## Work Arrangement

- Remote, part-time — minimum 10 hours/week
    
- Flexible scheduling, designed around an active clinical practice

Multilingual Inpatient Hospitalist (MD) — Clinical Documentation & AI Evaluation

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced **restructuring and insolvency** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

Chapter 11 first-day motions, Section 363 sales and bid evaluation, cross-class plan treatment and plan objections.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~18 hours across the engagement. One matter in this pod (a full first-day motions package) is materially larger than the others.
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Restructuring (Project Donna)

## About the Role

Mercor is hiring **practicing Primary Care Physicians (MD)** on behalf of a healthcare AI partner building advanced clinical documentation and decision-support tools. In this role you will apply your day-to-day outpatient expertise to **review, annotate, and evaluate clinical documentation**, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.

This role is designed for clinicians who are **currently practicing** primary care, family medicine, or general internal medicine and who write outpatient clinical notes as part of their regular work.

**This is a multilingual cohort.** In addition to English, you must be able to speak, listen, and write in at least one other language at an **advanced (C1) level or above**.

## Key Responsibilities

**Clinical Documentation Review**

- Review outpatient clinical notes, encounter summaries, and EHR documentation for accuracy, completeness, and clinical soundness
- Evaluate AI-generated notes and summaries against what a practicing PCP would actually document

**Annotation & Structured Feedback**

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

**Knowledge Contribution**

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

## Required Qualifications

- **MD**, with **2+ years post-residency**, **currently practicing** primary care / family medicine / general internal medicine
- **US-based**
- **Direct experience writing clinical notes in an outpatient setting**
- In addition to English, **advanced (C1 or above) proficiency — speaking, listening, and writing — in at least one of the following languages:**
    - Spanish · Chinese (Mandarin) · Chinese (Cantonese) · Tagalog · Russian · Haitian Creole
    - Korean · Arabic · Portuguese · Polish · Japanese
    - Turkish · Italian · Ukrainian · Romanian · Finnish · French · Danish · Catalan · Hungarian · Czech · German · Bulgarian · Indonesian · Dutch
- **Minimum availability of 10 hours/week**

## Preferred Qualifications

- 5+ years of experience post-residency
- Familiarity with **Epic**
- Experience with clinical documentation quality review, note auditing, or **CDI** exposure
- Prior **AI/ML annotation or model evaluation** work experience, with strong performance reviews
- Experience documenting patient care in a language other than English

## Work Arrangement

- Remote, part-time — minimum 10 hours/week
- Flexible scheduling, designed around an active clinical practice

Multilingual Primary Care Physician (MD) — Clinical Documentation & AI Evaluation

Mercor is partnering with a leading legal AI company on a blinded human-preference study. We are hiring experienced **disputes and international** lawyers to serve as expert reviewers — reading a realistic legal matter, reviewing six AI-generated work products for it, and recording which they prefer with written reasoning.

### What you'll do

- Read a synthetic legal matter and its underlying documents
- Review **six blinded AI deliverables** (labelled A–F) for that matter
- Make **five head-to-head comparisons** against a common comparator output
- Write a short, specific rationale for every preference

### Practice scope

International arbitration and award enforcement, sanctions and export controls, cross-border disputes and emergency interim relief.

### Requirements

- Qualified lawyer with substantive practice experience in the areas above
- Able to judge work product holistically — correctness, completeness, judgment, usefulness
- Precise written English
- Able to work independently to written instructions and a deadline

### Logistics

- **Commitment:** ~24 hours across the engagement
- **Confidentiality:** all work is covered by NDA. External AI tools must not be used on any project material.

Legal Expert — Disputes & International (Project Donna)

**Role Overview**
We're recruiting native Arabic speakers for immediate customer experience (CX) agent testing. You'll place calls and run quality reviews to evaluate our client's conversational AI agent.

**What You'll Do**

- Complete **10 test calls** with the CX agent, following the prompts and scenarios provided
    
- Complete **10 QA reviews** of calls, assessing accuracy, tone, clarity, and naturalness
    
- Provide clear written feedback on conversation flow and user experience
    

**Schedule & Compensation**

- **Duration:** 1-2 hours total
    
- **Start Date:** Immediate
    

**Requirements**

- Native Arabic speaker
    
- Prior data annotation experience
    
- Able to place calls to an EU, UK, or US phone number
    
- Ability to make clear phone calls with good audio quality
    
- Available to start immediately

Arabic expert

**Fluent Language Skills Required:** Korean. Native fluency in Korean, including full command of Hangul, is required for this position. All annotation and transcription work is performed in Korean.

**Why This Role Exists**

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Korean, alongside Japanese and five Indic scripts. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Korean documents rather than a narrow band of easily parsed ones.

Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

**What You'll Do**

- Source documents: find a publicly accessible Korean PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it
    
- Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index
    
- Record relationships: link each region to the figure or table it belongs to through a parent component identifier
    
- Transcribe faithfully: reproduce all text exactly as it appears in Hangul, including any hanja and handwritten content, flagging any region where the source is not legible
    
- Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting
    
- Review a colleague's work: every task is reviewed end to end by a second Korean expert, and experienced annotators take on that review
    

**Who You Are**

- You are a native Korean speaker with full command of Hangul, including hanja where it appears in older or formal documents
    
- You have worked in bilingual transcription, translation, editorial work, or AI training data, ideally with reviewer experience
    
- You are exact: character-level accuracy matters more here than speed, and a single wrong jamo is a defect
    
- You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document
    
- You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms
    

**Nice-to-Have Specialties**

- AI training data: annotation, labeling, grading, or bilingual evaluation for training datasets
    
- Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing
    
- Document production: typesetting, copy-editing, proofreading, or digitization of Korean-language material
    
- Script and encoding: Unicode normalization, Korean input methods, Hangul jamo composition, and hanja handling
    

**What Success Looks Like**

- Every meaningful region on the page is captured, correctly bounded and correctly typed
    
- Reading order reflects how the page is actually read, including across columns
    
- Transcriptions match the source character for character, in Hangul rather than romanization
    
- Your tasks pass second-expert review the first time
    
- The documents you bring in add layout diversity rather than repeating templates already in the corpus
    

**Why Join Mercor**

- Build the training data that makes document AI work in scripts it currently handles badly
    
- Work from real published Korean documents rather than synthetic or templated pages
    
- Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

PDF Annotation & Transcription Experts – Korean

**Fluent Language Skills Required:** Japanese. Native fluency in Japanese, including full command of kanji, hiragana and katakana, is required for this position. All annotation and transcription work is performed in Japanese.

**Why This Role Exists**

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Japanese, alongside Korean and five Indic scripts. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, vertical text, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Japanese documents rather than a narrow band of easily parsed ones.

Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

**What You'll Do**

- Source documents: find a publicly accessible Japanese PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it
    
- Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index
    
- Record relationships: link each region to the figure or table it belongs to through a parent component identifier
    
- Transcribe faithfully: reproduce all text exactly as it appears, including kanji, hiragana, katakana, furigana and handwritten content, flagging any region where the source is not legible
    
- Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting
    
- Review a colleague's work: every task is reviewed end to end by a second Japanese expert, and experienced annotators take on that review
    

**Who You Are**

- You are a native Japanese speaker with full command of kanji, hiragana and katakana, including furigana and variant character forms
    
- You have professional experience in interpretation, journalism, transcription, translation, editorial work, or comparable document-intensive work
    
- You are exact: character-level accuracy matters more here than speed, and a single wrong character is a defect
    
- You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document
    
- You are comfortable with unfamiliar layouts: vertical text, multi-column newspapers, exam papers, handwritten forms
    

**Nice-to-Have Specialties**

- AI training data: annotation, labeling, grading, or bilingual evaluation for training datasets
    
- Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing
    
- Document production: typesetting, copy-editing, proofreading, or digitization of Japanese-language material
    
- Script and encoding: Unicode normalization, Japanese input methods, full-width and half-width forms, and kanji variant handling
    

**What Success Looks Like**

- Every meaningful region on the page is captured, correctly bounded and correctly typed
    
- Reading order reflects how the page is actually read, including vertical text and multi-column layouts
    
- Transcriptions match the source character for character, in Japanese script rather than romaji
    
- Your tasks pass second-expert review the first time
    
- The documents you bring in add layout diversity rather than repeating templates already in the corpus
    

**Why Join Mercor**

- Build the training data that makes document AI work in scripts it currently handles badly
    
- Work from real published Japanese documents rather than synthetic or templated pages
    
- Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

PDF Annotation & Transcription Experts – Japanese

**Fluent Language Skills Required:** Odia. Native fluency in Odia (Oriya), including full command of Odia script and orthography, is required for this position. All annotation and transcription work is performed in Odia.

**Why This Role Exists**

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Odia, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Odia documents rather than a narrow band of easily parsed ones.

Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

**What You'll Do**

- Source documents: find a publicly accessible Odia PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it
    
- Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index
    
- Record relationships: link each region to the figure or table it belongs to through a parent component identifier
    
- Transcribe faithfully: reproduce all text exactly as it appears in Odia script, including handwritten content, flagging any region where the source is not legible
    
- Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting
    
- Review a colleague's work: every task is reviewed end to end by a second Odia expert, and experienced annotators take on that review
    

**Who You Are**

- You are a native Odia speaker with full command of the script, its diacritics and its conjunct forms
    
- You have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review
    
- You are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect
    
- You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document
    
- You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms
    

**Nice-to-Have Specialties**

- Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets
    
- Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing
    
- Document production: typesetting, copy-editing, proofreading, or digitization of Odia-language material
    
- Script and encoding: Unicode normalization, Odia input methods, numeral-form and character-form accuracy
    

**What Success Looks Like**

- Every meaningful region on the page is captured, correctly bounded and correctly typed
    
- Reading order reflects how the page is actually read, including across columns
    
- Transcriptions match the source character for character, in Odia script rather than transliteration
    
- Your tasks pass second-expert review the first time
    
- The documents you bring in add layout diversity rather than repeating templates already in the corpus
    

**Why Join Mercor**

- Build the training data that makes document AI work in scripts it currently handles badly
    
- Work from real published Odia documents rather than synthetic or templated pages
    
- Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

PDF Annotation & Transcription Experts – Odia

**Fluent Language Skills Required:** Malayalam. Native fluency in Malayalam, including full command of Malayalam script and orthography, is required for this position. All annotation and transcription work is performed in Malayalam.

**Why This Role Exists**

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Malayalam, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Malayalam documents rather than a narrow band of easily parsed ones.

Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

**What You'll Do**

- Source documents: find a publicly accessible Malayalam PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it

- Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index

- Record relationships: link each region to the figure or table it belongs to through a parent component identifier

- Transcribe faithfully: reproduce all text exactly as it appears in Malayalam script, including handwritten content, flagging any region where the source is not legible

- Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting

- Review a colleague's work: every task is reviewed end to end by a second Malayalam expert, and experienced annotators take on that review

**Who You Are**

- You are a native Malayalam speaker with full command of the script, its diacritics and its conjunct forms

- You have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review

- You are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect

- You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document

- You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms

**Nice-to-Have Specialties**

- Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets

- Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing

- Document production: typesetting, copy-editing, proofreading, or digitization of Malayalam-language material

- Script and encoding: Unicode normalization, Malayalam input methods, numeral-form and character-form accuracy

**What Success Looks Like**

- Every meaningful region on the page is captured, correctly bounded and correctly typed

- Reading order reflects how the page is actually read, including across columns

- Transcriptions match the source character for character, in Malayalam script rather than transliteration

- Your tasks pass second-expert review the first time

- The documents you bring in add layout diversity rather than repeating templates already in the corpus

**Why Join Mercor**

- Build the training data that makes document AI work in scripts it currently handles badly

- Work from real published Malayalam documents rather than synthetic or templated pages

- Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

PDF Annotation & Transcription Experts – Malayalam

**Fluent Language Skills Required:** Gujarati. Native fluency in Gujarati, including full command of Gujarati script and orthography, is required for this position. All annotation and transcription work is performed in Gujarati.

**Why This Role Exists**

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Gujarati, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Gujarati documents rather than a narrow band of easily parsed ones.

Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

**What You'll Do**

- Source documents: find a publicly accessible Gujarati PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it

- Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index

- Record relationships: link each region to the figure or table it belongs to through a parent component identifier

- Transcribe faithfully: reproduce all text exactly as it appears in Gujarati script, including handwritten content, flagging any region where the source is not legible

- Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting

- Review a colleague's work: every task is reviewed end to end by a second Gujarati expert, and experienced annotators take on that review

**Who You Are**

- You are a native Gujarati speaker with full command of the script, its diacritics and its conjunct forms

- You have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review

- You are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect

- You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document

- You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms

**Nice-to-Have Specialties**

- Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets

- Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing

- Document production: typesetting, copy-editing, proofreading, or digitization of Gujarati-language material

- Script and encoding: Unicode normalization, Gujarati input methods, numeral-form and character-form accuracy

**What Success Looks Like**

- Every meaningful region on the page is captured, correctly bounded and correctly typed

- Reading order reflects how the page is actually read, including across columns

- Transcriptions match the source character for character, in Gujarati script rather than transliteration

- Your tasks pass second-expert review the first time

- The documents you bring in add layout diversity rather than repeating templates already in the corpus

**Why Join Mercor**

- Build the training data that makes document AI work in scripts it currently handles badly

- Work from real published Gujarati documents rather than synthetic or templated pages

- Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

PDF Annotation & Transcription Experts – Gujarati

**Fluent Language Skills Required:** Telugu. Native fluency in Telugu, including full command of Telugu script and orthography, is required for this position. All annotation and transcription work is performed in Telugu.

**Why This Role Exists**

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Telugu, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Telugu documents rather than a narrow band of easily parsed ones.

Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

**What You'll Do**

- Source documents: find a publicly accessible Telugu PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it

- Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index

- Record relationships: link each region to the figure or table it belongs to through a parent component identifier

- Transcribe faithfully: reproduce all text exactly as it appears in Telugu script, including handwritten content, flagging any region where the source is not legible

- Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting

- Review a colleague's work: every task is reviewed end to end by a second Telugu expert, and experienced annotators take on that review

**Who You Are**

- You are a native Telugu speaker with full command of the script, its diacritics and its conjunct forms

- You have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review

- You are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect

- You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document

- You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms

**Nice-to-Have Specialties**

- Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets

- Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing

- Document production: typesetting, copy-editing, proofreading, or digitization of Telugu-language material

- Script and encoding: Unicode normalization, Telugu input methods, numeral-form and character-form accuracy

**What Success Looks Like**

- Every meaningful region on the page is captured, correctly bounded and correctly typed

- Reading order reflects how the page is actually read, including across columns

- Transcriptions match the source character for character, in Telugu script rather than transliteration

- Your tasks pass second-expert review the first time

- The documents you bring in add layout diversity rather than repeating templates already in the corpus

**Why Join Mercor**

- Build the training data that makes document AI work in scripts it currently handles badly

- Work from real published Telugu documents rather than synthetic or templated pages

- Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

PDF Annotation & Transcription Experts – Telugu

**Fluent Language Skills Required:** Bengali. Native fluency in Bengali, including full command of Bengali script and orthography, is required for this position. All annotation and transcription work is performed in Bengali.

**Why This Role Exists**

Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Bengali, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script.

The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Bengali documents rather than a narrow band of easily parsed ones.

Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models.

**What You'll Do**

- Source documents: find a publicly accessible Bengali PDF in an assigned document type, containing at least one multimodal element (images, tables, diagrams, or handwriting), and record where you obtained it

- Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index

- Record relationships: link each region to the figure or table it belongs to through a parent component identifier

- Transcribe faithfully: reproduce all text exactly as it appears in Bengali script, including handwritten content, flagging any region where the source is not legible

- Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting

- Review a colleague's work: every task is reviewed end to end by a second Bengali expert, and experienced annotators take on that review

**Who You Are**

- You are a native Bengali speaker with full command of the script, its diacritics and its conjunct forms

- You have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review

- You are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect

- You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document

- You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms

**Nice-to-Have Specialties**

- Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets

- Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing

- Document production: typesetting, copy-editing, proofreading, or digitization of Bengali-language material

- Script and encoding: Unicode normalization, Bengali input methods, numeral-form and character-form accuracy

**What Success Looks Like**

- Every meaningful region on the page is captured, correctly bounded and correctly typed

- Reading order reflects how the page is actually read, including across columns

- Transcriptions match the source character for character, in Bengali script rather than transliteration

- Your tasks pass second-expert review the first time

- The documents you bring in add layout diversity rather than repeating templates already in the corpus

**Why Join Mercor**

- Build the training data that makes document AI work in scripts it currently handles badly

- Work from real published Bengali documents rather than synthetic or templated pages

- Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it

PDF Annotation & Transcription Experts – Bengali

**Overview**

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

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

**Key Responsibilities**

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

**Basic Qualifications**

- Active RN license (U.S., outside California)
    
- Recent pediatric acute care inpatient bedside experience, ideally in a non-procedural inpatient unit. Candidates should have worked in an inpatient bedside role within the past 10 years, with current or more recent documentation experience prioritized over total years of nursing experience.
    
- Comfortable performing and documenting comprehensive pediatric nursing assessments
    
- Comfortable following detailed annotation guidelines consistently
    
- Excellent written communication skills and responsiveness to feedback
    
- Ability to work independently and meet deadlines
    

**Preferred Qualifications**

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

Pediatric Inpatient Nurses (RN)

**Role Overview**
We're recruiting Peruvian Spanish generalist speakers for immediate customer experience (CX) agent testing. You'll participate in phone calls and live interaction testing to evaluate our client's conversational AI agent.

**What You'll Do**

- Make outbound/inbound calls to test the CX agent's responses and behavior
    
- Follow basic prompts and scenarios provided
    
- Provide feedback on conversation flow and user experience
    
- No domain expertise required—generalist perspective is exactly what we need
    

**Schedule & Compensation**

- **Duration:** 1-2 weeks
    
- **Daily Commitment:** 1-3 hours per day
    
- **Start Date:** Immediate
    

**Requirements**

- Native or fluent Peruvian Spanish speaker
    
- Ability to make clear phone calls with good audio quality
    
- Available to start immediately

Peruvian Spanish expert

**Role Overview**
We're recruiting Mexican Spanish generalist speakers for immediate customer experience (CX) agent testing. You'll participate in phone calls and live interaction testing to evaluate our client's conversational AI agent.

**What You'll Do**

- Make outbound/inbound calls to test the CX agent's responses and behavior
    
- Follow basic prompts and scenarios provided
    
- Provide feedback on conversation flow and user experience
    
- No domain expertise required—generalist perspective is exactly what we need
    

**Schedule & Compensation**

- **Duration:** 1-2 weeks
    
- **Daily Commitment:** 1-3 hours per day
    
- **Start Date:** Immediate
    

**Requirements**

- Native or fluent Mexican Spanish speaker
    
- Ability to make clear phone calls with good audio quality
    
- Available to start immediately

Mexican Spanish expert

**About the role**

We build materials-science and engineering tasks that test how well an AI model does real expert work. You write a realistic task — a prompt, a data room, and a way to grade it — run it against the model, and tighten it until the model can no longer reason through it cleanly.

**What you'll do**

- Author domain-authentic tasks drawn from work you've actually done.
- Build the data room and grading criteria that make the task objectively scorable.
- Run the task against the model, analyse where it succeeds or fails, and iterate until it genuinely discriminates.
- Work with the project lead and other domain experts to settle what "good" looks like in your domain.

**Who we're looking for**

- Senior expertise in **materials science** — metals, ceramics, composites, characterization, additive manufacturing — or in **electrical engineering** (analog, RF, power) or **mechanical engineering** (design, CFD and fluids, heat transfer, pressure vessels, NDE, CAE).
- Comfortable navigating ambiguity — much of the work is still being defined, and shaping it is part of the role.
- Able to explain not just the right answer, but why a wrong answer is wrong.

**Support**

Daily onboarding sessions and multiple office hours every day.

Materials & Engineering Specialist

**About the role**

A frontier engineering-reasoning evaluation run in collaboration with a leading AI research lab. The work measures whether state-of-the-art models can reason from first principles in your engineering domain rather than retrieve facts from training data — and you get visibility into the model's internal reasoning on your own tasks.

**What you'll do**

Domain experts write simulations and specification sheets; the model attempts to design an artifact — controller gains, circuit parameters, geometry — that satisfies every spec.

You define the simulation, a set of specs with pass/fail thresholds, and the prompt. The model probes your simulation with a limited number of calls, then submits a final design. An agentic grader runs the simulation and scores spec satisfaction.

**Who we're looking for**

- Deep applied expertise in control systems, analog or RF circuits, power electronics, or mechanical design — PhD or equivalent industry track record.
- Comfortable writing simulations in Python and expressing acceptance criteria as quantitative, testable thresholds.
- Able to design a problem you can't shortcut yourself, but can still judge rigorously.
- Comfortable working in a browser-based studio and GitHub.

**Support**

Onboarding calls run daily, alongside internal tooling built to help you work faster. Prior model-evaluation experience is not required.

Engineering Simulation Specialist

**About the role**

This is an evaluation framework for frontier AI models in drug research and development. Domain experts write realistic research problems wrapped around messy evidence worlds. The model works offline in a sandbox with open-source scientific tooling, receiving incomplete, indirect and sometimes misleading data, and must reach a defensible conclusion. The answer is present in the evidence but never stated.

Your job is to build a research problem so realistic and well-constructed that the model has to genuinely reason to solve it — it can't pattern-match or look the answer up.

**What you'll deliver**

Three things per task: the prompt, the data room, and the grading document.

1. **Design the challenge** — identify the hidden basin and the forcing chain that makes one conclusion inevitable.
    
2. **Build the world** — assemble a data room from real, source-grounded data. Every decisive value traces to a real source.
    
3. **Write the grader** — a grading document that scores a submitted memo on substance, not style or method.
    
4. **Validate it** — run verification and calibration before submission.
    
5. **Revise it** — you own the rework if a reviewer requests changes.
    

You are the final authority on every scientific and difficulty question in your task.

**Who we're looking for**

- Working expertise in mechanistic enzymology, structure-guided peptide or antibody design, fragment-based discovery, or structure-based medicinal chemistry — PhD or equivalent industry track record.
    
- You can pose a problem whose answer you can defend rigorously, but which a strong solver cannot shortcut.
    
- Comfortable judging reasoning quality, not just final answers.
    

**Commitment**

Minimum 20 hours per week, up to 40.

**Tooling**

Work happens in a browser-based studio plus Claude Code. A Claude Max subscription is required and is fully reimbursed.

Drug Discovery Scientist

## About the Role

Mercor is partnering with a leading technology organization to recruit experienced Electrical Test Automation Engineers for a short-term project. Engineers will apply hands-on industry experience in electrical testing, automation, instrumentation, and hardware validation to solve complex technical problems.

## What You'll Do

- Design and implement automated test systems, procedures, and test sequences for electrical and electronic hardware.
    
- Integrate test instruments, data acquisition systems, and hardware interfaces to automate measurements and testing.
    
- Develop test scripts, automation frameworks, and data analysis workflows.
    
- Perform functional, performance, validation, regression, and HIL testing where applicable.
    
- Analyze test results, troubleshoot hardware and test setups, and identify root causes of failures.
    
- Review and validate test methodologies, results, and technical approaches against project requirements.
    

## Who Should Apply

- Electrical Test, Test Automation, Electrical, or Hardware Test Engineers with **hands-on industry experience**.
    
- Bachelor's, Master's, or PhD in Electrical Engineering, Electronics, Instrumentation, Mechatronics, or a related field.
    
- Experience developing or executing automated electrical test systems and working with laboratory instrumentation.
    
- Proficiency in Python, MATLAB, LabVIEW, C/C++, or equivalent.
    
- Experience with test automation, data acquisition, and instrument-control protocols such as SCPI, GPIB, USB, Ethernet, CAN, or RS-232/485.
    
- Ability to interpret electrical schematics, test specifications, and technical documentation.
    

## Preferred Qualifications

- Experience with ATE, automated test benches, custom test fixtures, NI hardware, LabVIEW/TestStand, PXI/PXIe, or DAQ systems.
    
- Experience with HIL/SIL, automated regression testing, or Python-based test automation.
    
- Experience testing power electronics, batteries, EVs, motors, embedded systems, or other complex electrical hardware.
    
- Experience with high-voltage or safety-critical systems is a plus.
    

## Project Details

- **Duration:** Short-term project
    
- **Work Type:** Electrical test automation, technical problem-solving, and expert evaluation
    

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

Electrical Test Automation Engineer

## About the Role

Mercor is partnering with a leading technology organization to recruit experienced Electrical Design Specialists for a short-term project. Specialists will apply their hands-on industry experience to analyze, evaluate, and solve complex electrical design and system-level engineering problems across a range of applications.

## What You'll Do

- Develop, analyze, and evaluate electrical designs based on technical requirements, specifications, and system performance.
    
- Design and review electrical systems, circuits, equipment, and components, including distribution systems, power systems, control panels, switchgear, and motor control systems.
    
- Interpret and analyze electrical schematics, single-line and wiring diagrams, layouts, equipment specifications, and technical documentation.
    
- Perform electrical calculations including load flow, voltage drop, short-circuit analysis, protection coordination, and equipment sizing.
    
- Evaluate design alternatives, engineering trade-offs, and system performance, and identify potential design issues or improvements.
    
- Review and validate designs, calculations, assumptions, and technical approaches against project requirements and engineering standards.
    

## Who Should Apply

- Experienced Electrical Design Engineers, Electrical Engineers, or Electrical Design Specialists with **hands-on industry experience**.
    
- Bachelor's, Master's, or PhD in Electrical Engineering or a related discipline.
    
- Strong understanding of electrical system design, power systems, and engineering principles.
    
- Practical experience designing or evaluating electrical systems across areas such as industrial facilities, infrastructure, manufacturing, energy, renewable energy, building services, or energy storage.
    
- Experience with low- and medium-voltage systems, electrical protection, equipment sizing, and power distribution.
    
- Experience with electrical design and engineering tools such as AutoCAD Electrical, ETAP, SKM Power Tools, EPLAN, Revit, or equivalent is a plus.
    

Candidates with practical experience applying electrical engineering principles to real-world electrical systems are strongly preferred.

## Preferred Qualifications

- Advanced degree or professional engineering certification.
    
- Experience with power system studies, including load flow, short-circuit analysis, and protection coordination.
    
- Experience specifying and sizing transformers, switchgear, cables, motors, and protection equipment.
    
- Experience with industrial automation, instrumentation, or control systems.
    
- Experience designing electrical systems for manufacturing facilities, data centers, renewable energy projects, or other complex infrastructure.
    
- Familiarity with applicable electrical codes and standards such as IEC, IEEE, NEC, or equivalent.
    
- Experience reviewing vendor drawings, equipment datasheets, technical submittals, and engineering designs.
    

## Project Details

- **Duration:** Short-term project
    
- **Work Type:** Technical problem-solving, electrical design analysis, and expert evaluation
    
- **Domain:** Electrical Engineering, Electrical Design, Power Systems, and Industrial Electrical Systems
    

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

Electrical Design Specialist

## About the Role

Mercor is partnering with a leading technology organization to recruit experienced Radio Frequency (RF) and Electromagnetic (EM) Engineering Experts for a short-term project. Experts will apply their hands-on industry experience to analyze and solve complex problems involving RF systems, electromagnetics, antennas, propagation, and related engineering applications.

## What You'll Do

- Solve complex technical problems involving RF and electromagnetic engineering.
    
- Analyze RF/EM systems, components, antennas, circuits, and architectures.
    
- Apply electromagnetic theory, RF principles, and engineering methodologies to real-world scenarios.
    
- Analyze technical specifications, system requirements, simulation results, and engineering data.
    
- Evaluate design trade-offs, performance limitations, calculations, assumptions, and proposed solutions.
    
- Review and validate technical approaches and results, providing technically rigorous solutions and explanations.
    
- Follow project-specific technical guidelines and evaluation criteria.
    

## Who Should Apply

- Experienced RF, Electromagnetic, Microwave, Antenna, or related engineering professionals with hands-on industry experience.
    
- Bachelor's, Master's, or PhD in Electrical Engineering, Electronics Engineering, RF Engineering, Electromagnetics, or a related field.
    
- Strong understanding of electromagnetic theory, RF engineering principles, and signal propagation.
    
- Practical experience in one or more of:
    
    - RF and microwave systems
        
    - Antenna design and analysis
        
    - Electromagnetic simulation and modeling
        
    - RF circuits and components
        
    - EMC/EMI
        
    - Wireless communications, radar, or sensing
        
    - RF propagation and channel modeling
        
    - RF measurement and testing
        
- Experience with tools such as HFSS, CST, COMSOL, MATLAB, ADS, or equivalent is a plus.
    

Candidates with practical experience applying RF/EM principles to real-world engineering systems are strongly preferred.

## Preferred Qualifications

- Advanced degree in RF Engineering, Electromagnetics, Electrical Engineering, or a related field.
    
- Experience with microwave or millimeter-wave systems, antenna arrays, phased arrays, beamforming, or MIMO.
    
- Experience in radar, wireless communications, satellite communications, or RF sensing.
    
- Experience with electromagnetic simulation, RF characterization, and laboratory testing.
    
- Experience translating theoretical RF/EM concepts into practical engineering solutions.
    
- Research experience or publications in RF, electromagnetics, antennas, or related fields is a plus.
    

## Project Details

- **Duration:** Short-term project
    
- **Work Type:** Technical problem-solving, analysis, and expert evaluation
    
- **Domain:** RF Engineering, Electromagnetics, Antennas, Microwave Engineering, and Wireless Systems
    

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

Radio Frequency and Electromagnetic Engineering Expert

## 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

Evaluate the quality and correctness of AI-assisted software-development traces used to train and evaluate a frontier AI lab's models. You'll assess end-to-end coding sessions produced with AI-assisted developer tools — judging correctness, workflow soundness, and reasoning — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years professional software development
• Hands-on experience with AI-assisted coding tools and agentic / spec-driven workflows (Cursor, GitHub Copilot, Claude Code, or similar)
• Strong code-reading and debugging skills across full-stack or backend systems
• Ability to evaluate multi-step coding trajectories for correctness and best practice

Preferred Qualifications
• Experience with Kiro or Amazon CodeCatalyst
• Prior work evaluating or grading AI-generated code
• Contributions to developer tooling

AI Developer Trace Task Auditor

Evaluate the quality, correctness, and reproducibility of software-engineering benchmark tasks used to train and evaluate a frontier AI lab's models. You'll assess repository-level tasks, reference patches, test harnesses, and grading integrity — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years professional software engineering
• Real open-source contribution or maintainer experience (merged PRs, committer / maintainer roles)
• Strong ability to audit reference patches, test runners, and Docker isolation, and to detect answer leakage / reward hacking
• Fluency across common ecosystems (Python and at least one of Java / Go / TypeScript / C++)

Preferred Qualifications
• Familiarity with SWE-Bench (Verified) or similar repository benchmarks
• Maintainer history on major Python OSS (Django, Flask, scikit-learn, sympy, pytest, etc.)
• Prior code-review or task-grading experience

SWE-Bench Task Auditor

Evaluate the quality, correctness, and methodological rigor of applied machine-learning tasks used to train and evaluate a frontier AI lab's models. You'll assess experiment design, model-selection reasoning, and evaluation methodology — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years hands-on applied/experimental ML (experiment design, model selection, hyperparameter tuning, evaluation methodology)
• Strong grasp of data-quality rigor: leakage detection, metric gaming, and train/test/CV hygiene
• Proficiency with standard ML frameworks (PyTorch, TensorFlow, scikit-learn, XGBoost)
• Ability to critique ML claims against evidence and reproduce results

Preferred Qualifications
• Competition / benchmark experience (e.g., Kaggle)
• Graduate research or publication record in applied ML
• Prior task-grading or peer-review experience

Note: this role evaluates applied/experimental ML rigor — it is not an LLM-application-building or MLOps role.

ML Challenge Task Auditor

Evaluate the quality, correctness, and cloud-architecture soundness of AWS serverless and infrastructure-as-code tasks used to train and evaluate a frontier AI lab's models. You'll assess multi-service serverless designs, IaC fidelity, and cross-service integration correctness — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years hands-on experience building multi-service AWS serverless applications (Lambda, API Gateway, DynamoDB/Streams, S3, EventBridge, SNS/SQS, Step Functions)
• Strong experience with infrastructure-as-code (AWS CDK, CloudFormation, or SAM)
• Demonstrated ability to assess event-driven architecture correctness, IAM/permission boundaries, and failure/retry semantics
• Familiarity with local emulation/testing fidelity (e.g., LocalStack) versus real AWS behavior

Preferred Qualifications
• AWS certifications (Solutions Architect / Developer)
• Experience with observability and cost-optimization for serverless workloads
• Prior code-review or task-grading experience

AWS Serverless & Infrastructure-as-Code Task Auditor

Evaluate the quality, correctness, and production-readiness of Kubernetes tasks used to train and evaluate a frontier AI lab's models. You'll assess cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting — and provide clear, rubric-based written feedback.

Basic Qualifications
• 3+ years hands-on production Kubernetes experience (EKS/GKE/AKS or self-managed)
• Deep understanding of cluster internals: CNI/DNS/ingress, PV/PVC storage, RBAC, and failure modes (CrashLoopBackOff, OOMKilled, scheduling/eviction)
• Experience authoring and reviewing manifests / Helm charts and debugging live cluster incidents
• Proficiency in Go, Python, or TypeScript

Preferred Qualifications
• CKA / CKAD certification
• Service-mesh, autoscaling, and observability experience (Istio, HPA, Prometheus/Grafana)
• Prior SRE / platform-engineering or task-grading experience

Kubernetes Task Auditor

## About the Role

Mercor is partnering with a leading language-learning platform to recruit Spanish learners for a short-term project involving recorded, one-on-one Spanish learning sessions. Learners will participate in genuine Spanish lessons with experienced tutors across different proficiency levels. The goal is to capture natural, high-quality interactions that reflect authentic language-learning experiences.

## What You'll Do

- Participate actively in one-on-one Spanish learning sessions with experienced tutors.
    
- Engage in natural, substantive conversations in Spanish based on assigned topics and lesson structures.
    
- Follow the tutor's instructions and participate in speaking, listening, and conversational exercises.
    
- Ask and respond to questions naturally throughout each session.
    
- Adapt to different lesson formats, topics, and conversational prompts.
    
- Maintain focus throughout the session and avoid extended periods of silence or off-topic conversation.
    
- Participate consistently in scheduled recorded sessions.
    
- Provide an authentic representation of the Spanish-learning experience through natural conversation.
    

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

## Who Should Apply

- Individuals actively learning Spanish with a strong interest in developing their conversational skills.
    
- Native English speaker with strong verbal communication skills.
    
- Bachelor's degree or higher.
    
- At least one year of Spanish-learning experience through formal education, tutoring, self-study, or other structured learning.
    
- Familiarity with basic to intermediate Spanish vocabulary and grammar.
    
- Ability and willingness to participate in spoken Spanish conversations.
    
- Comfortable interacting with tutors and responding to questions in real time.
    
- Reliable availability and a strong record of punctuality.
    
- Comfort participating in recorded online sessions.
    
- Ability to follow lesson structures and project instructions consistently.
    

Learners from diverse educational, professional, and cultural backgrounds are encouraged to apply.

## Project Details

- **Duration:** Approximately three weeks
    
- **Commitment:** Approximately seven hours per week
    
- **Session Length:** Approximately 20–30 minutes per session
    
- **Language:** Spanish and English
    
- **Recording:** Sessions will be recorded for project purposes
    

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

Spanish Learner

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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

**Compensation: all experts are paid a flat $800 upon successful completion of the onboarding process, which we estimate takes approximately 10 hours. After successfully completing onboarding, you will be converted to $80/hour.**

## 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**

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)

To qualify you must use Visage 7 regularly — weekly or more — as a working part of your job, with 2+ years of professional radiology/imaging experience.

**Visage 7 knowledge we require**

_Image interpretation & measurement_

- Using Visage 7's measurement, MPR, and volume-rendering tools to reach a diagnostic read
    
- Applying integrated structured decision-support tools (TI-RADS, O-RADS, and similar) to grade a finding and determine next steps
    
- Distinguishing a working measurement or annotation from an entry that's part of the finalized, signed report
    

_Patient & study records_

- Patient/study hierarchy and prior-study linking across a patient's imaging history
    
- Recording findings and observations accurately, including on partial or handed-off studies
    
- Setting and interpreting follow-up recommendations and flags on a patient's imaging record
    

_Exam & workflow operations_

- Study lifecycle: worklist assignment, interpretation, report generation, signing, addendum
    
- Distinguishing a preliminary measurement or annotation from a booked, signed report entry
    
- Distinguishing what's confirmed by the current study from what's assumed from prior reports when picking up a case mid-workflow
    

_Reference & configuration data_

- Protocol and hanging-protocol setup, and how configuration constrains what a given modality/study type displays
    
- DICOM metadata handling and how it affects display and downstream EHR/RIS integration
    

_Regulatory & reporting standards_

- Applying the relevant accreditation or reporting standard to determine whether a study meets compliance requirements
    
- Version/currency awareness — which protocol or standard applies as of the current exam date
    

_Audit & handoff_

- Recording findings, conclusions, and open items so the next reviewer can see exactly what was reviewed and what's outstanding
    
- Reporting and audit-trail screens relevant to case status and compliance tracking
    

**What you'll do**

- Confirm the patient/study record reflects what was actually observed, not what's assumed, especially on partial handoffs
    
- Grade a finding using the relevant structured tool as of the current exam, and record it with a follow-up recommendation
    
- Distinguish preliminary measurements/annotations from signed, finalized report entries
    
- Judge completeness: is the full case understood, is anything left open that shouldn't be, is the record ready for the next reviewer or for sign-off
    
- Verify recorded outcomes are traceable — auditable, not just noted informally
    

**Requirements**

- Frequent Visage 7 use — weekly or more — in your current or recent role
    
- 2+ years of professional experience in radiology, medical imaging, or a related clinical-imaging function
    
- Reflexive familiarity with structured reporting tools, measurement workflows, and preliminary-vs-final distinctions
    
- Relevant clinical degree or certification (e.g., MD/DO with radiology board certification, ARRT for technologists) or equivalent hands-on PACS/imaging experience

Domain Expert – Radiology (Visage 7 Research)

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

# 1\. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented 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)

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 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 **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

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 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

**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

**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)

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