Insurance Actuarial Specialist - AI Lab Project
Listing checked September 22, 2026 · pay as published by Mercor
Overview
Mercor works with a leading AI lab to train frontier models on insurance reasoning data. The project needs Insurance Actuarial Specialists who can build realistic pricing, reserving, and risk-modeling scenarios. You will evaluate model answers against established actuarial standards and help shape how AI handles probability, loss estimation, and financial risk. Actuaries from life, health, property and casualty, pensions, retirement, and enterprise risk backgrounds all fit, whether you come from an insurer, reinsurer, consultancy, or corporate actuarial team. The role starts now, with applications reviewed on a rolling basis, and asks for at least 20 hours each week.
What You'll Do7
- 1Craft realistic case studies that cover ratemaking, loss reserving, valuation, experience studies, assumption-setting, and profitability analysis.
- 2Produce pricing models, reserve reviews, actuarial memos, technical assumptions, and results summaries.
- 3Draft gold-standard reference answers that match the quality of an experienced actuarial professional.
- 4Score AI-generated answers with structured rubrics that test method soundness, calculation accuracy, assumption support, and clear writing.
- 5Flag weak methods, calculation errors, unsupported assumptions, and missing rationale.
- 6Send written feedback that the research team uses to improve model behavior.
- 7Attend onboarding office hours and calibration sessions.
Requirements10
- 1Bring at least 2 years of professional actuarial experience in any practice area.
- 2Show how methods, assumptions, and data shape pricing, reserves, and valuation.
- 3Choose a suitable method, run the analysis, and explain a defensible conclusion with a documented rationale.
- 4Apply strong quantitative analysis, balanced judgment, and close attention to detail.
- 5Tell actuarial analysis apart from underwriting decisions and from formal financial or legal advice.
- 6Preferred: hold or pursue ASA, FSA, ACAS, FCAS, CERA, or MAAA credential.
- 7Preferred: work across multiple practice areas or specialty lines.
- 8Preferred: bring reinsurance, capital modeling, or enterprise risk experience.
- 9Preferred: use R, Python, SAS, SQL, or actuarial software such as Prophet, Emblem, Radar, or ResQ.
- 10Preferred: handle regulatory filings, rate filings, or statements of actuarial opinion.
Who Should Apply
The ideal candidate has at least two years of actuarial work behind them and can move from method selection to a documented conclusion without hand-holding. Practice area matters less than the ability to explain assumptions, spot calculation errors, and write a clear rationale. This role suits actuaries who want to shape AI reasoning about insurance risk, not those seeking underwriting authority or formal financial or legal advisory work. Candidates often score low when they describe general insurance knowledge instead of walking through a specific ratemaking or reserving method. Another common miss is treating the task as data labeling alone, when the work demands professional actuarial judgment and written defense of each answer.
Salary Insight
The role pays $80.00 per hour. That rate sits near the upper end for contract actuarial review work and matches someone with at least a few years of professional experience, such as those holding or pursuing actuarial credentials. Hours vary, with a 20-hour weekly minimum and 40+ hours preferred, so total weekly pay depends on the schedule you commit to.
Pay and demand for Insurance & Risk Management roles
AggregatedTypical pay
$70/hour
This role
$80/hr
Most Insurance & Risk Management roles pay $48–$89 per hour. This role's pay falls inside that range.
Based on 154 similar roles that publish pay · 20 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 195
- Listed in last 30 days
- 83
- Remote
- 95%
Hiring most right now: micro1 (84) · Mercor (27) · Turing (25)
Most requested skills · share of roles
- python21%
- data analysis12%
- excel11%
- sql11%
Figures from Insurance & Risk Management roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$80/hr
Required Skills
Application Tip
Name the actuarial software and methods you know in your resume summary, then add one line that quantifies a pricing, reserving, or capital project you led. For example, state the line of business, the method, and the size of the reserve or rate change. That gives reviewers a fast signal that you can produce golden responses and grade model output against actuarial standards.
See NearSkill jobs more often in your search
Application & verification flow
1Instant rubric match
Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
Similar open positions
Explore active roles that match your skills and interests.
Mercor
VerifiedInsurance Expert - AI Lab Project (Remote)
Mercor partners with a leading AI lab on a project that turns real insurance work into training material for AI systems. You will apply your own practice in underwriting, claims, actuarial analysis, or a related specialty to write realistic scenarios and assess model outputs. The engagement is remote and paid by the hour, and you can focus on the area where your expertise runs deepest.
Mercor
VerifiedInsurance Domain Expert
Insurance and actuarial professionals with deep practice experience will shape how frontier AI models reason about real insurance work. You will review model outputs and insurance knowledge tasks for professional accuracy, write the instruction specs and golden answers that define correctness, and design benchmarks that track model progress. The position is full-time W-2 employment with Cincinnatus LLC, with placement inside a leading AI lab's research and program management teams. Work is hybrid in the Bay Area, California, with on-site presence required multiple days each week. The role is not remote.
Mercor
VerifiedInsurance Underwriting Specialist (Remote)
Mercor partners with a frontier AI lab to improve how large models handle insurance reasoning. The team needs underwriting specialists to create realistic risk scenarios and judge model answers against industry standards. You will shape training data around risk selection, policy provisions, pricing, and coverage calls. Underwriters from life, health, property, casualty, commercial, personal, specialty, marine, surety, and reinsurance backgrounds can apply. Work happens remote on an hourly basis.
AfterQuery
VerifiedActuary Expert - Remote Contract Position
AfterQuery seeks credentialed actuaries to join a contract team that builds evaluation and training data for frontier AI labs. You will work with finance domain content, review AI-generated analysis, and help models reason about pricing, reserving, and risk modeling. The engagement runs 10 hours per week, stays remote and async, and pays between $80 and $150 per hour. SOA or CAS credentials, or substantial exam progress, anchor the work.
Mercor
VerifiedInsurance Specialist
This role offers a unique opportunity to combine deep insurance expertise with cutting-edge AI development. You'll work with a leading AI lab's generative AI team, helping to refine large language models by providing domain-specific knowledge in underwriting, claims, and risk assessment. Your real-world insurance judgment will directly shape how AI understands and processes insurance-related tasks, making this a high-impact position for experienced insurance professionals.
Mercor
VerifiedInsurance Experts
We're looking for senior insurance professionals to help train AI systems that operate in the high-stakes world of Fortune 500 enterprise insurance and risk management. You'll design realistic scenarios, craft reference answers, and build scoring rubrics that reflect how experienced underwriters, claims leaders, and actuaries actually think. This is a remote, hourly role with flexibility to apply your domain expertise to AI evaluation work.