Description

You will challenge advanced language models on theoretical and applied mathematics topics, verify accuracy, document failure modes, and suggest improvements to prompt engineering. Your work trains the models that power future AI applications.

Requirements

• Master's or PhD in mathematics or closely related field
• Expertise in algebra, calculus, number theory, geometry, probability, statistics, linear algebra, differential equations, real analysis, mathematical modeling, or discrete mathematics
• Clear metacognitive communication (show your work)
• Peer-reviewed publications, teaching experience, or research projects preferred

Responsibilities

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