AI Trainer & Data Annotator
Evaluated and rated AI-generated responses for accuracy and relevance while improving large language model performance. Performed data annotation and labeling on diverse text datasets to ensure high-quality training data for machine learning pipelines. Applied prompt engineering and conducted red teaming to test model behavior and platform safety compliance. • Rated and assessed AI outputs for correctness and quality. • Annotated, labeled, and categorized textual data for supervised training. • Engineered prompts and conducted failure point analysis to strengthen LLMs. • Flagged unsafe or biased responses through structured red teaming protocols.