Description

You will help train large language models by challenging them on advanced mathematics topics, verifying factual and logical accuracy, and documenting errors. Your work will improve AI reasoning in scientific and educational domains.

Requirements

• Master's or PhD in mathematics or closely related quantitative field
• Fluency in Japanese
• Peer-reviewed publications, teaching experience, or research in pure/applied mathematics
• Clear, metacognitive communication skills

Responsibilities

• Conversing with AI models on classroom and theoretical mathematics problems
• Verifying factual accuracy and logical soundness of model outputs
• Capturing reproducible error traces
• Suggesting improvements to prompt engineering and evaluation metrics