AI Trainer — Mathematical Reasoning
Designed and authored adversarial mathematics and reasoning challenges to expose model failure modes in mathematical domains. Reviewed and evaluated AI-generated solutions for accuracy, stepwise reasoning, and logical validity. Authored structured feedback for use in refining AI model training data. • Created algebra, calculus, geometry, trigonometry, and math word problem tasks. • Performed quality assurance and reasoning validation of AI outputs. • Developed annotation and test-set guidelines for mathematical reasoning. • Utilized feedback to improve AI model performance and address failure cases.