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Actuarial Science Specialist – AI Trainer

Are you an actuarial science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical insight. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with regulatory and financial complexity, and streamline actuarial workflows for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for actuarial science specialists who live and breathe probability theory, financial mathematics, life contingencies, risk modeling, pension valuation, health insurance, predictive analytics, and regulatory compliance. You’ll challenge advanced language models on topics like loss distributions, reserve calculations, Monte Carlo simulations, stochastic processes, solvency assessments, credibility theory, and insurance pricing—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on insurance scenarios and theoretical actuarial questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A bachelor’s or master’s in actuarial science, mathematics, statistics, or a closely related field is ideal; completion of actuarial exams through SOA or CAS, experience with valuation software, data modeling, or risk analysis projects signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your actuarial science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We provide a flexible hourly pay structure. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Employment type: ContractWorkplace type: RemoteSeniority level: Mid‑Senior Level


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