A.I Trainer, Dataannotation.Tech
Served as an AI Trainer supporting data quality and model alignment through iterative review and feedback on AI outputs. Focused on identifying edge cases, reducing hallucinations, and improving the accuracy and safety of model responses. Provided clear, actionable guidance to refine responses and strengthen context awareness over time. • Reviewed AI-generated content for quality, correctness, and safety • Identified failure modes and edge cases in responses • Suggested improvements to prompts and response behavior • Supported continuous model evaluation and alignment activities