• Review and validate AI-generated outputs in pricing, reserving, underwriting, and risk modeling • Evaluate actuarial projections (mortality, morbidity, loss development) for accuracy and compliance with regulatory standards • Provide structured feedback on assumptions, clarity, and methodology consistency • Stress-test AI outputs across claims scenarios, reserve adequacy, and solvency models • Tag and organize content by insurance domain (life, health, property & casualty, reinsurance) • Support benchmarking to assess AI capabilities in actuarial science and insurance operations