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

Finance Expert

# Domain Expert – Legal (PACER / Federal Court Records)

To qualify you must use **PACER (and federal court dockets / CM/ECF)** regularly, weekly or more, as a working part of your job, with **2+ years of professional federal-litigation experience** as a litigation paralegal, docket/court clerk, legal-research librarian, or litigator.

## **PACER knowledge we require**

**Reading cases & dockets**

- Reading a docket sheet fluently: parties, attorneys, assigned judge, filed/terminated dates, case status
    
- Docket entries: interpreting terse entry text, following cross-referenced entries, and tracing procedural posture (what was filed, how the judge ruled, how the case ended)
    
- Decoding case numbers (division, year, case type, judge initials) and recognizing what they tell you
    

**Searching & finding**

- PACER Case Locator (nationwide index) vs. searching inside a specific court's CM/ECF, and the limits of each
    
- Party-name search and its traps: name variants, corporate suffixes, "et al.", d/b/a, subsidiaries, misspellings
    
- Filtering by court, date range, case type, and Nature of Suit; targeted retrieval instead of blind browsing
    

**Court structure & jurisdiction**

- The federal court landscape: district, appellate (circuit), and bankruptcy courts, and knowing which court a case lives in
    
- Case relationships: consolidated cases, MDL lead vs. member cases, transfers, and district-to-appeal linkage
    

**Case types & classification**

- Civil / criminal / bankruptcy case types; Nature of Suit codes; cause of action; party roles (plaintiff, defendant, appellant/appellee, debtor/creditor, trustee)
    

**Documents, records & workflow**

- Document types: complaint, answer, motion, brief, order, judgment, exhibit, and what each represents
    
- What is and is not retrievable: sealed cases, restricted/redacted documents, minute entries with no document, and the privacy rules behind them
    
- App workflow surfaces: saved searches, saved cases, and batch download jobs for large result sets
    

## **What you'll do**

- **Review and QA AI-agent rollouts:** work through completed agent runs and judge whether the agent's answer is correct against the actual docket, right case, right court, right parties, right outcome/status, right document
    
- **Identify failure modes:** pinpoint where and why an agent succeeds too easily or fails wrongly, and flag tasks that are too easy or solvable without actually using PACER
    
- **Improve realism and difficulty:** refine the task prompt and the seeded world so tasks reflect authentic federal docket research and are genuinely hard for a capable agent
    
- **Update grading guidance for accuracy:** sharpen how answers are graded so correct answers pass and wrong ones fail, including gating failures (wrong case identified, misread procedural posture, missed member case, or use of a sealed/restricted document that should be off-limits)
    
- **Catch plausible-but-wrong answers** that a non-expert reviewer would let slide
    

## **Requirements**

- Frequent hands-on PACER / CM/ECF use for federal docket research in your current or recent role, weekly or more
    
- 2+ years in federal litigation support: litigation paralegal, docket/court clerk, legal-research librarian, or litigator
    
- Can read a federal docket on sight: decode a case number, trace procedural posture, tell open vs. terminated, recognize case types and Nature of Suit
    
- Reflexive with PACER search mechanics and the name-variant traps that cause missed cases
    
- Sound judgment on what a correct, complete answer looks like, and the confidence to mark a plausible answer wrong
    
- Bonus: bankruptcy docket experience; complex/multidistrict litigation; hands-on experience across multiple courts (not just one firm's home district)
    
- Note: a J.D. and bar admission are welcome but **not required**; experienced litigation paralegals and docket specialists are the primary pool

Legal Expert

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

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

* * *

### **Key Responsibilities**

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

### **Requirements**

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

### **Preferred Qualifications**

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

* * *

Voice Actor: CX Agent Voice Cloning (UK English)

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

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

Mechanical Engineering Writer - Engineering FRQ

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

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

Circuit Design Writer - Engineering FRQ

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

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

CAD / Mechanical Design Writer - Engineering FRQ

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

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

Materials Writer - Engineering FRQ

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

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

Aerodynamics Writer - Engineering FRQ

# Domain Expert – Nursing (UpToDate Lexidrug)

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

Lexidrug knowledge we require

**Core (required of all candidates)**

- Knows how to check a patient's full active medication list before administering a new drug — not just the drug in hand against the one most recently given
    
- Knows how to recognize when a finding means "hold the dose and escalate" versus "safe to proceed" — nursing scope is catching and escalating, not resolving the clinical question independently
    
- Knows how to reconcile medications across a transition of care (admission, transfer, discharge) — catching discrepancies between home meds, brought-from-home bottles, and current orders
    
- Knows how to monitor for and recognize an adverse reaction or interaction after administration, tied to the actual administration timeline (what was given, when, in what order)
    
- Knows how to document and communicate an escalation clearly — what was found, what was held, who was notified — not just note a concern and move on
    

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

- Trissel's IV Compatibility — Y-site/syringe compatibility and line management for patients on multiple simultaneous infusions
    
- High-alert medication administration protocols (insulin, anticoagulants, opioids, chemotherapy, sedation)
    
- Pediatric/weight-based dosing and administration
    
- Geriatric-specific administration precautions (fall risk, sedation, Beers Criteria-relevant drugs)
    
- Patient/caregiver discharge education, including multi-language teaching materials
    
- Drug I.D. for medication reconciliation (verifying an unlabeled or brought-from-home medication)
    

What you'll do

- Confirm a medication is safe to administer against the patient's **full** active med list and administration history — not just the one drug named in the question
    
- Catch a medication reconciliation gap, a missed IV compatibility issue, or an adverse-reaction pattern that requires tracing the actual administration timeline
    
- Judge completeness: was the full clinical picture (all active meds, administration timing, transition-of-care history) accounted for, or was the question scoped too narrowly
    
- Distinguish "within nursing scope to resolve" from "needs escalation to pharmacy or the prescriber" — correctly routing rather than either overreaching or under-escalating
    
- Verify that a correct nursing finding is actually **carried through** — dose held, right person notified, chart documented — not just noticed and left there
    

Requirements

- **Frequent Lexidrug (or Lexicomp) use - weekly or more - in your current or recent role**
    
- **2+ years of professional nursing experience, inpatient/acute care setting strongly preferred**
    
- Reflexive use of Interactions and Trissel's at the point of administration; can spot a missed interaction, a reconciliation gap, or a symptom-onset red flag on sight
    
- RN license in good standing; BSN or higher preferred
    
- Strong working knowledge in at least 2–3 specialized areas above, tied to your practice setting (e.g., ICU, oncology, pediatrics, geriatrics)
    
- Comfort judging whether a correct nursing finding was properly escalated and documented, not just identified
    
- Prior data annotation, labeling, or AI evaluation experience is a plus

Nurse

# Domain Expert – Pharmacy (UpToDate Lexidrug)

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

Lexidrug knowledge we require

**Core (required of all candidates)**

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

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

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

What you'll do

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

Requirements

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

Pharmacist

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

## Responsibilities

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

## Requirements

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

**Adversarial Robustness**

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

**Efficient Computer Vision**

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

**Generative Image Modeling**

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

**LLM Post-Training & Behavioral Robustness**

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

**Multilingual Pre-training**

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

**Additional Areas of Interest**

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

## General Qualifications

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

## Why Join

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

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

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

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

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

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

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

Disease-Area Clinician — Trial Endpoints & Prescribing

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

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

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

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

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

Pharma Commercial Forecasting Expert — Launch Curves

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

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

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

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

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

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

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

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

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

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

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

Epidemiologist — Patient Population Sizing

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

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

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

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

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

Biotech Investment Analyst — Drug Asset & Company Assessment

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

### What you'll do

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

### Requirements

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

### Logistics

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

In-House Counsel (Japan)

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

### What you'll do

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

### Requirements

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

### Logistics

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

In-House Counsel (Spain)

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

### What you'll do

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

### Requirements

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

### Logistics

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

In-House Counsel (Germany)

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

### What you'll do

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

### Requirements

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

### Logistics

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

In-House Counsel (France)

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

### What you'll do

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

### Requirements

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

### Logistics

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

In-House Counsel (United Kingdom)

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

### What you'll do

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

### Requirements

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

### Logistics

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

In-House Counsel (Australia)

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

### What You'll Do

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

### Ideal Background

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

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

### Preferred Qualifications

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

### Nice to Have

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

### Why Join?

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

Cybersecurity Research Expert – Offensive Security & Vulnerability Research

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

# 1\. Overview

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

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

# 2\. Key Responsibilities

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

# 3\. Core Qualifications

- 6+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization, including ownership of systems end to end.
    
- Deep production experience in at least one of Python, Java, Rust, C#, or C++, plus demonstrated delivery in a second language across a different ecosystem — this cohort is intentionally staffed across multiple language ecosystems.
    
- Hands-on ownership across the stack: backend service and API design, a modern front-end framework (React or equivalent), data modelling, and cloud deployment and operations.
    
- Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up.
    
- Demonstrable career progression.
    
- Ability to engage reliably for at least 40 hours/week during weekdays.
    
- Strong written communication skills and the ability to explain complex technical decisions clearly.
    

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

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

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

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

# 1\. Overview

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

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

# 2\. Key Responsibilities

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

# 3\. Core Qualifications

- 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization.
    
- Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language — this cohort is intentionally staffed across multiple language ecosystems.
    
- Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment.
    
- Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up.
    
- Demonstrable career progression.
    
- Ability to engage reliably for at least 40 hours/week during weekdays.
    
- Strong written communication skills and the ability to explain complex technical decisions clearly.
    

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

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

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

To qualify you must work regularly in a professional inpatient CDI or coding role — hospital CDI (specialist or leadership), inpatient DRG coding/auditing, or clinical-documentation denial management — with 2+ years of experience under ICD-10-CM/PCS and the MS-DRG system.

## Clinical documentation knowledge we require

**Coding & the pre-bill cycle**

- ICD-10-CM/PCS assignment, POA reporting, and the inpatient DRG assignment and reimbursement cycle
    
- Concurrent and retrospective (pre-bill) review, DRG reconciliation (working vs. final), and tie-out of coded diagnoses to source documentation in the record
    

**Judgment & evaluation**

- CC/MCC impact and DRG movement; when a diagnosis does or doesn't change the DRG, severity of illness, or risk of mortality
    
- Code changes and their coupled effects (principal-diagnosis sequencing, DRG shift, dollar and quality impact)
    

**Clinical standards & criteria**

- Applying published clinical criteria to the record — AKI staging (KDIGO), sepsis, respiratory failure, malnutrition, CKD staging — and UHDDS reporting rules
    
- Distinguishing a clinically supported diagnosis from an unsupported or templated/copy-forward one; clinical validation
    

**Query & compliance discipline**

- AHIMA/ACDIS-compliant, non-leading query construction; when a query is required versus when specificity is already provider-documented
    
- The bright line: indicators justify a query, never a code — never add, delete, or change a provider-documented diagnosis without a provider response
    

**Documentation & evidence**

- Query vs. CDI-review vs. note standards, hold/pending mechanics, review-ready completeness
    
- Evidence provenance: a lab value, document, baseline, or DRG figure is only valid if it is actually in the record and produced by the grouper, not asserted
    

**Tools**

- Comfort in professional CAC/CDI software — computer-assisted coding and CDI workflow platforms (e.g., Dolbey Fusion, 3M 360 Encompass, Nuance/Optum360), DRG groupers, and EHR systems (e.g., Epic)
    

## What you'll do

- Review AI-agent attempts at realistic CDI/coding tasks and judge whether each disposition is correct and adequately supported by the record
    
- Confirm work is actually completed and recorded — codes changed, queries sent (not left in draft), holds placed, DRG recomputed, notes and CDI reviews filed — not just described
    
- Catch fabricated or overstated work: cited labs, documents, or prior encounters that don't exist, a claimed provider response that never came, DRG or dollar figures not produced by the grouper
    
- Judge completeness and whether the right action was applied to the right chart — code fix vs. query vs. clinical-validation query vs. leave-alone — and require verify-before-finalize
    
- Write clear, specific agree/disagree rationales on each attempt
    

## Requirements

- 2+ years of professional experience in one or more of: inpatient hospital CDI (specialist or leadership), inpatient DRG coding/auditing, or clinical-documentation denial management
    
- Current or recent hands-on work under ICD-10-CM/PCS and MS-DRGs
    
- Reflexive professional judgment; can spot an unsupported diagnosis, a leading query, a missed CC/MCC, or a rubber-stamped account on sight
    
- CCDS, CDIP, CCS, RHIA/RHIT, or RN with CDI experience (or equivalent); hospital, coding, or HIM background
    
- Comfort working inside CAC/CDI software and reading the full clinical record — H&Ps, consults, progress notes, discharge summaries, labs, and flowsheets

Clinical Documentation Integrity (CDI) Specialist

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

### What You'll Do

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

### Qualifications

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

### Preferred Qualifications

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

### Why Join?

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

Netherlands Domestic Tax Specialist

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage an investment professional.

You will support the senior investment team by organizing portfolio data, producing performance and risk analyses, preparing charts and supporting materials, and ensuring that all analytical outputs are accurate, clearly sourced, and ready for senior review.

**2\. Key Responsibilities**

- Clean, organize, and reconcile holdings data across public and private investments.
    
- Gather and validate market data, company information, benchmark data, and other relevant financial inputs.
    
- Calculate performance, risk metrics, asset-class exposures, and benchmark-relative results.
    
- Support private-company valuation and other financial-modeling work.
    
- Produce clear tables, charts, and exhibits for inclusion in investment presentations.
    
- Maintain a comprehensive source log documenting data origins, assumptions, and calculation methodologies.
    
- Assist with portfolio analysis, holdings reviews, and market research.
    
- Support the preparation of simplified trade instructions and post-trade documentation.
    
- Conduct quality-control checks across models, calculations, charts, and presentation materials.
    
- Respond quickly to reviewer feedback and update analytical outputs as required.
    

**3\. Ideal Qualifications**

- Approximately 3–4 years of professional investment experience.
    
- Experience that includes both Investment Banking and buy-side investing.
    
- Buy-side experience within Private Equity or a Hedge Fund, with Hedge Fund experience preferred.
    
- Strong Excel skills and experience working with financial models, market-data exports, and large datasets.
    
- Understanding of financial statements, valuation, portfolio-performance analysis, and investment research.
    
- Experience producing charts, tables, source logs, and senior-level presentation materials.
    
- Comfortable completing detailed and repetitive analytical work with a high degree of accuracy.
    
- Strong organizational skills and the ability to maintain clear documentation of data, sources, and assumptions.
    
- Excellent written communication and attention to detail.
    
- Comfortable working under senior review and revising work based on structured feedback.
    
- Prior experience with financial screening exercises, AI evaluation, or human-data projects is a plus.
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started.
    
- Complete a financial modelling assessment as part of your application.

UK-based Investment Analyst

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage an experienced investment professional.

You will take primary ownership of private-company valuation work, support broader portfolio analysis, and translate complex financial analysis into clear, decision-ready presentation materials.

**2\. Key Responsibilities**

- Lead the valuation of a private company using appropriate financial and market-based methodologies.
    
- Build, review, and refine detailed Excel valuation models.
    
- Analyze company performance, financial projections, capital structure, comparable companies, and relevant transaction data.
    
- Assess key assumptions, sensitivities, valuation ranges, and investment risks.
    
- Review investment policy documentation and identify relevant gaps, inconsistencies, or areas for improvement.
    
- Support broader portfolio analysis across public and private investments.
    
- Conduct market-data research and maintain a clear record of sources and assumptions.
    
- Convert analytical findings into concise, senior-level presentation materials.
    
- Prepare simplified trade and investment documentation as required.
    
- Ensure that financial models, conclusions, and presentation outputs are internally consistent and decision-ready.
    
- Incorporate structured feedback from senior reviewers and iterate quickly on the work.
    

**3\. Ideal Qualifications**

- Approximately 5–7 years of professional experience in Investment Banking, Private Equity, a Family Office, or investment management.
    
- Strong experience with private-company valuation, financial modeling, investment analysis, and transaction-related work.
    
- Advanced proficiency in Excel and the ability to build robust, auditable financial models.
    
- Experience preparing investment committee materials, board presentations, transaction presentations, or comparable senior-level deliverables.
    
- Strong understanding of valuation methodologies, including comparable-company analysis, precedent transactions, and discounted cash-flow analysis.
    
- Comfortable working with market-data exports, financial statements, portfolio information, and imperfect datasets.
    
- Experience analyzing investment policies or institutional portfolio guidelines is beneficial.
    
- An MBA, specialized finance master's degree, or CFA qualification is preferred but not required.
    
- Exceptionally strong written communication and attention to detail.
    
- Comfortable having analytical judgments reviewed and calibrated against those of other experienced investment professionals.
    
- Prior experience with AI evaluation, financial assessments, or human-data projects is a plus.
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started.
    
- Complete a financial modelling assessment as part of your application.

UK-based VP / Investment Associate

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage an experienced public-markets investment professional.

You will lead the diagnosis of a public-markets portfolio, assess its positioning against current market conditions and relevant benchmarks, and develop practical recommendations covering asset allocation, fund and ETF selection, portfolio risk, rebalancing, and implementation.

**2\. Key Responsibilities**

- Evaluate holdings across public equities, fixed income securities, ETFs, funds, and other liquid investments.
    
- Diagnose portfolio construction issues, concentration risks, asset-allocation gaps, and performance drivers.
    
- Assess holdings against appropriate benchmarks and investment objectives.
    
- Produce a structured market update covering relevant macroeconomic, sector, and asset-class developments.
    
- Evaluate ETF and fund selection, including exposures, costs, liquidity, diversification, and suitability.
    
- Develop evidence-based rebalancing recommendations.
    
- Prepare clear implementation plans and proposed trade instructions.
    
- Analyze performance, volatility, risk exposures, and benchmark-relative results.
    
- Clearly document the reasoning supporting each recommendation.
    
- Incorporate structured feedback from senior reviewers and iterate quickly on the work.
    

**3\. Ideal Qualifications**

- Approximately 8–10 years of professional public-markets investment experience.
    
- Hands-on experience in portfolio management, asset allocation, ETF or fund selection, and portfolio-risk analysis.
    
- Background at an institutional asset manager, Multi-Family Office, investment office, Hedge Fund, wealth manager, or comparable investment platform.
    
- Experience as a Junior Portfolio Manager, Portfolio Manager, Investment Principal, Senior Investment Analyst, or similar professional is particularly relevant.
    
- Strong understanding of public equities, fixed income, ETFs, funds, benchmarks, and portfolio implementation.
    
- Experience producing market updates, portfolio diagnoses, rebalancing recommendations, and implementation plans.
    
- Strong quantitative skills and proficiency with portfolio-performance and risk analysis.
    
- CFA qualification is preferred but not required.
    
- Exceptionally strong written communication and the ability to explain portfolio decisions with precision.
    
- Detail-oriented, consistent, and comfortable having investment judgments reviewed and calibrated.
    
- Prior experience with AI evaluation or structured investment-assessment projects is a plus.
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started.
    
- Qualified applicants may be asked to complete a brief investment assessment or provide additional information about their experience.

UK-based Principal, Public Markets

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

**Key Responsibilities:**

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

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

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

**Role Details:**

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

Inorganic Materials, Semiconductor & Superconductor Experts

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

Key Responsibilities:

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

You're a strong fit if you have:

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

Role Details:

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

Atomic Layer Deposition (ALD) Experts

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

**What you'll do**

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

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

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

**Nice to have**

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

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

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

Strategic Finance Expert

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

**What you'll do**

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

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

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

**Nice to have**

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

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

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

FP&A Expert

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

**What you'll do**

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

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

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

**Nice to have**

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

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

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

Corporate Tax Expert

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

**What you'll do**

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

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

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

**Nice to have**

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

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

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

Corporate Treasury Expert

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

**What you'll do**

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

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

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

**Nice to have**

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

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

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

Investor Relations Expert

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

**What you'll do**

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

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

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

**Nice to have**

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

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

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

Corporate Development Expert

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

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

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

Moonlight MCQA - Danish Finance

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

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

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

Moonlight MCQA - Ukrainian Law

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

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

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

Moonlight MCQA - Czech Generalist

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

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

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

Moonlight MCQA - Norwegian Generalist

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

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

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

Moonlight MCQA - Vietnamese Law

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

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

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

Moonlight MCQA - Czech Law

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

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

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

Moonlight MCQA - Norwegian Law

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

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

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

Moonlight MCQA - Swedish Law

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

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

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

Moonlight MCQA - Hungarian Law

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

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

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

Moonlight MCQA - Thai Law

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

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

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

Moonlight MCQA - Chinese (Simplified) Generalist

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

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

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

Moonlight MCQA - Danish Law

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

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

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

Moonlight MCQA - Finnish Law

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

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

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

Moonlight MCQA - Chinese (Traditional) Finance

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

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

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

Moonlight MCQA - Chinese (Traditional) Law

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

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

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

Moonlight MCQA - Chinese (Traditional) Generalist

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

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

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

Moonlight MCQA - Chinese (Simplified) Finance

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

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

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

Moonlight MCQA - Arabic Finance

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

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

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

Moonlight MCQA - Arabic Law

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

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

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

Moonlight MCQA - Arabic Generalist

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

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

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

Moonlight MCQA - Chinese (Simplified) Law

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

You've probably:

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

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

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

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

Software Engineer — Agentic Search Systems

**1\. Role Overview**

Mercor is partnering with a leading AI research organization to engage an experienced senior investment professional.

You will provide senior investment judgment across the project, guide the team's analytical approach, and ensure that recommendations meet the standards expected of an institutional investment office.

**2\. Key Responsibilities**

- Provide senior investment judgment across both public securities and private-company work.
    
- Establish the investment framework and analytical approach used by the broader project team.
    
- Review valuations, portfolio analysis, asset-allocation recommendations, and investment-policy considerations.
    
- Challenge assumptions, identify material risks, and ensure that conclusions are supported by appropriate quantitative and qualitative evidence.
    
- Guide the development of recommendations and ensure that proposed actions are commercially sound and implementation-ready.
    
- Review and provide structured feedback on financial models, investment analyses, and presentation materials produced by other team members.
    
- Communicate investment conclusions clearly and authoritatively to senior stakeholders.
    
- Incorporate reviewer feedback and iterate quickly on analyses and recommendations.
    

**3\. Ideal Qualifications**

- Approximately 12–15+ years of professional investment experience.
    
- Senior experience within a Multi-Family Office, Private Equity firm, Hedge Fund, investment office, investment bank, or comparable institutional investment platform.
    
- Experience in senior roles such as Chief Investment Officer, Managing Director, Investment Director, Head of Investments, or Senior Portfolio Manager.
    
- Strong understanding of both public markets and private-company investing.
    
- Experience evaluating diversified portfolios across multiple asset classes and industries.
    
- Demonstrated expertise in portfolio construction, investment analysis, valuation, asset allocation, and risk management.
    
- Multi-Family Office experience is preferred but not required. A strong private equity, hedge fund, or investment banking background can also work.
    
- Exceptionally strong written communication and the ability to explain complex investment judgments clearly.
    
- Detail-oriented, commercially minded, and comfortable having investment conclusions reviewed and challenged.
    
- Prior experience with AI evaluation, human-data projects, or structured investment assessments is a plus.
    

**4\. Application Process**

- Submit your resume or relevant professional background to get started.
    
- Qualified applicants may be asked to complete a brief investment assessment or provide additional information about their experience.

UK-based Senior Investment Lead

**Mercor is recruiting UK-based Business Operations & Compliance Experts for a research project with a leading frontier AI lab.**

We are seeking experienced operators with 5+ years in **business operations, internal controls, advertising or marketing operations, risk, or compliance program management**.

Strong candidates can take regulatory requirements and internal policies and turn them into clear checklists, approval steps, examples, training, and recurring controls.

**Ideal candidates have experience at one or more of the following types of business:**

- Media or publishing
- Advertising agencies
- Live events
- Consumer subscription businesses
- Regulated marketing or finance operations
- Or another business with a substantial commercial compliance function

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

- Translating regulations and internal policy into practical checklists and approval steps
- Compliance training design and delivery
- Recurring controls and control documentation
- RACI definition, data checks, and approval workflows
- Monthly operating review calendars, agendas, and templates
- Facilitating sessions, assigning owners, and tracking follow-ups

You'll help create, review, and evaluate high-quality business operations and compliance scenarios, leveraging your experience in internal controls, compliance programs, and operating cadence.

Strong candidates explain requirements in plain language, surface confusion, know when to escalate a legal question rather than improvising an answer, and stay detail-oriented without becoming bureaucratic.

Here are more details about the role:

- You will be contributing high-quality training data for frontier AI systems
- This is a full-time engagement running from 10 August 2026 to 4 September 2026
- The project team collaborates on a UK business-hours rhythm, with live team sessions each working day and occasional evening messages
- The project pays two weeks of garden leave at the end of the engagement, with a one month non-compete running concurrently
- Successful contributions increase the likelihood of being selected for future Mercor projects

**The vetting process involves:**

- Resume and work history screen
- Short interview evaluating business operations and compliance expertise

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

Business Operations & Compliance Expert

**Mercor is recruiting UK-based Sales Operations & Enablement Experts for a research project with a leading frontier AI lab.**

We are seeking experienced revenue operators with 5+ years in **sales operations, revenue enablement, territory or capacity planning, or commercial program management**.

Strong candidates have built or operated capacity plans, performance scorecards, territory and account review processes, and enablement programs for revenue teams.

**Ideal candidates have experience at one or more of the following types of business:**

- B2B media sales
- Advertising or ad-tech
- SaaS businesses with complex sales planning
- Agencies
- Publisher revenue teams
- Or another commercial organization with a substantial sales operations function

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

- Demand-based staffing and capacity planning
- Performance scorecards and performance management
- Territory and account plan reviews
- Commercial process design and handoff mapping
- Enablement program and training delivery
- Facilitating manager reviews and tracking follow-through

You'll help create, review, and evaluate high-quality sales operations scenarios, leveraging your experience in capacity planning, performance management, and enablement.

Strong candidates can convert sales-performance data into practical manager actions, and produce workflows, templates, and training that frontline teams will actually use without over-engineering the process.

Here are more details about the role:

- You will be contributing high-quality training data for frontier AI systems
- This is a full-time engagement running from 10 August 2026 to 4 September 2026
- The project team collaborates on a UK business-hours rhythm, with live team sessions each working day and occasional evening messages
- The project pays two weeks of garden leave at the end of the engagement, with a one month non-compete running concurrently
- Successful contributions increase the likelihood of being selected for future Mercor projects

**The vetting process involves:**

- Resume and work history screen
- Short interview evaluating sales operations and enablement expertise

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

Sales Operations & Enablement Expert

**Mercor is recruiting UK-based Revenue Planning Experts for a research project with a leading frontier AI lab.**

We are seeking experienced analysts with 3+ years in **FP&A, revenue analytics, commercial finance, or business intelligence**, with advanced spreadsheet modeling and data reconciliation skills.

Strong candidates can reconcile data across finance, sales, and campaign systems, and carefully distinguish booked, billed, recognized, and collected revenue.

**Ideal candidates have experience at one or more of the following types of business:**

- Media or ad-tech
- Digital publishers
- Agency finance teams
- E-commerce
- Subscription businesses
- Or another marketplace or commercial analytics function

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

- Revenue and gross-margin forecasting
- Budget-versus-actual reporting and variance bridges
- Advanced Excel and spreadsheet modeling
- Reconciling data across finance, sales, and campaign systems
- Profitability, cost-to-serve, and trend analysis
- Documenting assumptions and catching data anomalies before they reach leadership

You'll help create, review, and evaluate high-quality revenue planning scenarios, leveraging your experience in forecasting, variance analysis, and commercial reporting.

Strong candidates define margin and cost categories consistently and can turn a variance analysis into a simple explanation of what happened, why, and what to do next.

Here are more details about the role:

- You will be contributing high-quality training data for frontier AI systems
- This is a full-time engagement running from 10 August 2026 to 4 September 2026
- The project team collaborates on a UK business-hours rhythm, with live team sessions each working day and occasional evening messages
- The project pays two weeks of garden leave at the end of the engagement, with a one month non-compete running concurrently
- Successful contributions increase the likelihood of being selected for future Mercor projects

**The vetting process involves:**

- Resume and work history screen
- Short interview evaluating revenue planning and financial modeling expertise

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

Revenue Planning Expert

**Mercor is recruiting UK-based FP&A Experts for a research project with a leading frontier AI lab.**

We are seeking experienced finance professionals with 6+ years in **FP&A, strategic finance, or finance business partnering**.

Strong candidates have directly owned a P&L, an annual budget, a rolling forecast, and a monthly variance process, and can translate accounting actuals into operational decisions on spending, headcount, and growth.

**Ideal candidates have experience at one or more of the following types of business:**

- Digital media and advertising
- Entertainment
- Subscription or membership businesses
- Live events
- Multi-location consumer businesses
- Or another commercially complex business with a substantial FP&A function

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

- P&L ownership and management reporting
- Annual budgeting and departmental budget consolidation
- Rolling forecasts and Income Statement projections
- Monthly variance analysis and budget-to-actual reporting
- Committed-expense analysis and cost control
- Forecast assumption setting and scenario stress-testing

You'll help create, review, and evaluate high-quality financial planning scenarios, leveraging your experience in FP&A, budgeting, and management reporting.

Strong candidates are comfortable explaining financial tradeoffs to non-finance stakeholders and turning a variance into a clear recommendation on what to do next.

Here are more details about the role:

- You will be contributing high-quality training data for frontier AI systems
- This is a full-time engagement running from 10 August 2026 to 4 September 2026
- The project team collaborates on a UK business-hours rhythm, with live team sessions each working day and occasional evening messages
- The project pays two weeks of garden leave at the end of the engagement, with a one month non-compete running concurrently
- Successful contributions increase the likelihood of being selected for future Mercor projects

**The vetting process involves:**

- Resume and work history screen
- Short interview evaluating FP&A and management reporting expertise

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

**Mercor is recruiting UK-based Commercial Operations Experts for a research project with a leading frontier AI lab.**

We are seeking experienced commercial leaders with 6+ years in **revenue operations, commercial strategy, sales planning, or business operations**.

Strong candidates have personally led annual planning cycles, quarterly business reviews, and cross-functional performance discussions, and can turn incomplete financial and sales inputs into clear priorities, decisions, owners, and deadlines.

**Ideal candidates have experience at one or more ad-supported media businesses, such as:**

- Digital publishers
- Podcast or video networks
- Local media or sports media
- Creator businesses
- Ad-supported marketplaces
- Or another leading media or advertising business with a substantial commercial planning function

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

- Annual and quarterly commercial planning
- Quarterly business reviews and manager performance reviews
- Revenue forecasting and challenging forecast assumptions
- Commercial recovery and turnaround actions
- Executive-level recommendations and presentations
- Operating cadence across finance, sales, and operations

You'll help create, review, and evaluate high-quality commercial operating scenarios, leveraging your experience in commercial strategy, planning, and revenue decision-making.

Strong candidates are comfortable challenging forecasts, holding managers accountable without formal authority over every function, and writing clearly for a leadership audience.

Here are more details about the role:

- You will be contributing high-quality training data for frontier AI systems
- This is a full-time engagement running from 10 August 2026 to 4 September 2026
- The project team collaborates on a UK business-hours rhythm, with live team sessions each working day and occasional evening messages
- The project pays two weeks of garden leave at the end of the engagement, with a one month non-compete running concurrently
- Successful contributions increase the likelihood of being selected for future Mercor projects

**The vetting process involves:**

- Resume and work history screen
- Short interview evaluating commercial operations and planning expertise

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

Commercial Operations Expert

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

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

* * *

### **Key Responsibilities**

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

### **Requirements**

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

### **Preferred Qualifications**

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

* * *

Voice Actor: CX Agent Voice Cloning (Swiss German)

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

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

* * *

### **Key Responsibilities**

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

### **Requirements**

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

### **Preferred Qualifications**

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

* * *

Voice Actor: CX Agent Voice Cloning (Australian English)

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Norwegian

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Danish

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Finnish

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Swedish

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Thai

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Portuguese (global)

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Indonesian

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Vietnamese

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Dutch

**Location**: Remote

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

**Why This Role Exists**

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

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

**What You’ll Do**

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

**Who You Are**

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

**Nice-to-Have Specialties**

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

**What Success Looks Like**

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

**Why Join Mercor**

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

AI Safety Experts — English & Malay

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

# 1\. Overview

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

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

# 2\. What You'll Do

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

# 3\. Qualifications

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

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

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

Project Coordinator

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

### What You'll Do

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

### We're Looking For

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

### **Why Join?**

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

QA / Software Engineering Reviewer – Browser Test Validation

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

### What You'll Do

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

### We're Looking For

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

### **Why Join?**

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

Product Reviewer – AI Web Application Specifications

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

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

### 2\. Potential Responsibilities

Future projects may involve:

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

Specific responsibilities will vary depending on the project.

### 3\. Ideal Qualifications

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

Data Scientist Talent Network

## Role Overview

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

## Key Responsibilities

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

## Ideal Qualifications

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

## More About Mercor

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

## Application Process

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

## About Mercor

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

Government & Public Policy Expert

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

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

## What You'll Be Asked to Do

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

## Requirements

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

## Engagement Details

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

## Why Participate

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

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

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

# Overview

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

# What You'll Do

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

# What We're Looking For

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

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

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

EPM Recruiter — Expert Interviewer

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

## Responsibilities

Participants will be asked to:

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

## Requirements

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

## Engagement Details

- **Format:** Online survey (voice-recorded responses + multiple-choice questions)
    
- **Duration:** Approximately 20 minutes
    
- **Compensation:** One-time payment upon successful verification of the submission
    
- **Location:** Remote (United States)
    

## Why Participate

- Contribute to research shaping the next generation of healthcare AI tools
    
- Share your real-world experience as a Medicare Advantage plan member

Medicare Advantage Members (Devoted Health) – Insight Study

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

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

### 2\. Potential Responsibilities

Future projects may involve:

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

Specific responsibilities will vary depending on the project.

### 3\. Ideal Qualifications

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

Management Consultant Talent Network

**1\. Role Overview**

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

**2\. Key Responsibilities**

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

**3\. Ideal Qualifications**

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

**4\. Application Process**

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

UI / UX Design Expert

**1\. Role Overview**

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

**2\. Key Responsibilities**

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

**3\. Ideal Qualifications**

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

**4\. Application Process**

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

Sales Engineering Expert

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

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

**Key Responsibilities**

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

**Basic Qualifications**

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

**Preferred Qualifications**

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

Adult Inpatient Nurses (RN)

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

Expert Project Manager

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

# 1\. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Molecular Biology subject-matter experts (SMEs) with hands-on experience designing DNA and RNA sequences — primers, plasmids, guide RNAs, mRNA constructs, and repair templates — to bring deep domain expertise and elevate the quality of our AI training data. This is a part-time to full-time commitment of up to 40 hours per week.

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

# 2\. Key Responsibilities

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

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

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

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

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

# 3\. Core Qualifications

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

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

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

- Demonstrable career progression.

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

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

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

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

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

Molecular Biology Experts

### Role Overview:

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

### Qualifications:

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

### Job Details:

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

### Application and Onboarding Process:

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

Generalist (Macbook User)

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

## 1\. Overview

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

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

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

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

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

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

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

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

## 3\. Core Qualifications

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

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

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

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

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

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

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

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

## About Cincinnatus LLC

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

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

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

## Equal Employment Opportunity

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

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

LLM Red Team Specialist — Failure Modes & Edge Cases

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

## 1\. Overview

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

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

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

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

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

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

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

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

## 3\. Core Qualifications

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

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

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

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

- Exceptional attention to detail and clear written documentation habits.

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

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

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

## About Cincinnatus LLC

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

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

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

## Equal Employment Opportunity

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

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

QA/Test Engineer

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

## 1\. Overview

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

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

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

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

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

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

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

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

## 3\. Core Qualifications

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

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

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

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

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

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

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

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

## About Cincinnatus LLC

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

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

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

## Equal Employment Opportunity

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

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

STEM Researcher — Computational Fields

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

## 1\. Overview

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

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

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

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

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

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

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

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

## 3\. Core Qualifications

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

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

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

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

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

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

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

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

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

## About Cincinnatus LLC

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

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

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

## Equal Employment Opportunity

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

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

Data Science & Quantitative Analysis Expert

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

## 1\. Overview

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

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

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

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

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

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

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

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

## 3\. Core Qualifications

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

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

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

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

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

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

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

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

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

## About Cincinnatus LLC

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

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

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

## Equal Employment Opportunity

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

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

Machine Learning Engineer — Model Evaluation & Experimentation

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

## 1\. Overview

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

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

This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week.

## 2\. Key Responsibilities

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

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

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

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

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

## 3\. Core Qualifications

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

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

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

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

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

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

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

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

## About Cincinnatus LLC

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

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

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

## Equal Employment Opportunity

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

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

Software Engineering Expert

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

* * *

## What You'll Do

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

**Representative topics include:**

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

* * *

## Qualifications

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

### Preferred Experience

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

* * *

## What Success Looks Like

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

Pharmacy Technician

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