Evaluation and Feedback Provider for AI Training/LLM Data Work
Provided high-quality human feedback on technical chemistry content for LLM training and data validation purposes. Developed and validated step-by-step solutions, ensuring scientific accuracy and logical consistency in complex problem sets for use as source data in AI training. Audited technical submissions and laboratory procedures, identifying errors, factual inaccuracies, and ambiguous responses for improved dataset quality. • Translated research and educational content into structured, deterministic datasets for AI consumption. • Reviewed and annotated hundreds of student answers, identifying and correcting plausible but incorrect claims (hallucinations). • Ensured all procedural data and labeling adhered to strict safety and alignment standards relevant to AI training. • Used digital lab simulators and scientific tools to augment labeling workflow.