AI Physics Trainer – Physics with Python (Freelance)
As an AI Physics Trainer at Mindrift, I designed and evaluated complex physics prompts across quantum mechanics, electromagnetism, and thermodynamics. I authored detailed scoring rubrics and calibration protocols to enhance evaluator alignment and consistency. I implemented computational validation tests to improve model output reliability and corrected flawed AI responses through structured error analysis. • Designed 300+ advanced prompts and rubrics for AI-driven evaluation • Improved scoring alignment, increasing evaluator consistency from 78% to 92% • Authored SOPs to streamline workflow and evaluator onboarding • Enhanced AI model reasoning accuracy by 28% with systematic QA