AI Training Expert (micro1)
Trains and evaluates large language models using domain expertise to improve instruction-following, contextual reasoning, and professional output quality. Reviews and assesses contributor tasks, evaluations, and AI-generated outputs to ensure consistency, accuracy, and enterprise quality alignment. Develops structured human evaluation and quality assurance workflows to support reliable enterprise AI agents and decision-support systems. • Reviewed 124+ contributor tasks, evaluations, and AI outputs • Implemented evaluation methodologies and iterative feedback loops • Reduced harmful bias and strengthened model reliability in high-stakes scenarios • Conducted human-in-the-loop evaluation and quality assurance for LLM outputs