Insurance and Actuarial Professional for AI Model Training

Help advance frontier AI systems by bringing practicing insurance and actuarial judgment into the evaluation, training, and improvement of models used for real insurance work. You will work closely with an AI research team to define high-quality insurance reasoning, identify weak or inaccurate outputs, and create the standards used to measure progress.

• Review insurance knowledge-work tasks and model outputs, identifying missing behaviors, weak reasoning, incorrect actuarial assumptions, misapplied policy language, and responses that would not meet professional standards.
• Write detailed instruction specifications and golden solutions for insurance and actuarial problems.
• Create realistic tasks, benchmarks, and evaluation sets that reflect insurance work in practice.
• Partner with researchers and adjacent-domain specialists to develop insurance-specific skills and tools.
• Translate professional insurance judgment into clear, teachable, consistently applied evaluation criteria.

• Hold an actuarial credential, including FSA, ASA, FCAS, or ACAS, or an active state insurance license in adjusting, underwriting, or broking, such as an all-lines adjuster license.
• Actuarial candidates must have a degree in actuarial science, mathematics, statistics, or a related quantitative field.
• Have at least 4 years of substantive experience with a carrier, reinsurer, broker, adjusting firm, or insurance regulator.
• Bring specialization in at least one area, such as life and annuity, group life and disability, property and casualty, health, reinsurance, pricing and reserving, enterprise risk management, claims adjudication, or underwriting.
• Demonstrate senior-level progression, such as Actuary, Senior Actuary, AVP, Director, Chief Actuary, Claims Manager, or Head of Underwriting, with ownership of a book, reserve, or claims portfolio.
• Use large language models in professional work and can distinguish sound reasoning from plausible but incorrect answers.
• Have excellent written communication skills and can provide precise, well-structured feedback.

• Full-time W-2 hourly employment, 40 hours per week, with an initial 6-month engagement.
• Hybrid role based in the Bay Area, California, requiring on-site work with the client team multiple days per week when required.
• Client-issued accounts and equipment will be provided, and work will take place in the client’s tools alongside its research team.
• This is not a remote role. Candidates who do not currently live in the Bay Area must relocate at their own expense before the engagement begins; relocation assistance is not available.
• Employment, payroll, benefits, compliance, and onboarding are administered through the employer of record, while you work directly within the client team’s enterprise workflows.

$60 to $100 per hour.

Equal employment opportunity is provided without discrimination based on legally protected characteristics. Reasonable accommodations are available for qualified individuals with disabilities and disabled veterans throughout the application process.