Description

You will train large language models on actuarial science topics by challenging them with scenarios on probability theory, risk modeling, and insurance pricing, verifying their reasoning, and documenting failure modes to improve model performance.

Requirements

• Bachelor's or master's in actuarial science, mathematics, statistics, or related field
• Completion of actuarial exams through SOA or CAS
• Experience with valuation software, data modeling, or risk analysis projects
• Clear, metacognitive communication skills

Responsibilities

• Converse with AI models on insurance scenarios and theoretical actuarial questions
• Verify factual accuracy and logical soundness of model responses
• Capture reproducible error traces
• Suggest improvements to prompt engineering and evaluation metrics