Insurance Domain Expert

Weekday AI; California City (CA); On-site; USD 83,000 - 138,000; Full time

Job summary

Weekday AI in the Bay Area seeks a senior insurance and actuarial domain expert to work with an AI lab's research and program management teams, improving how frontier models reason about real insurance work.

You will review insurance knowledge work tasks, write instruction specs, and build benchmarks to measure model improvements. Must be a practicing specialist with strong written communication.

Qualifications

• Actuarial credentials (FSA/ASA/FCAS/ACAS) or active state license in adjusting, underwriting, or broking.
• 4+ years of substantive insurance experience at carrier, reinsurer, broker, adjusting firm, or regulator.
• Domain depth in at least one area (life, health, P&C, etc.).
• Senior level progression with ownership of a book, reserve, or portfolio.
• Hands-on use of large language models in professional work and sound judgment.
• Availability: 40 hours per week for an initial 6-month engagement.

Responsibilities

• Vet the quality of insurance knowledge work tasks and model outputs.
• Write instruction specs and golden solutions for insurance problems.
• Define new tasks reflecting real-world practice.
• Design evaluation benchmarks and domain-specific tools with the team.

Skills

Actuarial credentials

State license

Actuarial degree

Insurance experience

AI fluency

On-site readiness

Communication skills

Education

Actuarial science degree

Mathematics/Statistics degree

Job description

This role is for one of our clients

Compensation: $60-$100 per hour

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

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

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

Requirements

Key Responsibilities

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

Core Qualifications

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