AI Data Annotation & LLM Evaluation (Freelance)
Contributed to a healthcare-focused text annotation project aimed at improving the accuracy and reliability of AI-generated medical information. Annotated clinical and patient-facing text by identifying key entities (e.g., symptoms, conditions, medications), labelling spans for factual accuracy, and flagging misleading or unsupported claims. Applied structured evaluation guidelines to assess clarity, tone, and reasoning quality to ensure outputs aligned with healthcare communication standards. Conducted basic fact-checking using trusted public medical sources to support annotations.