Medical Manager | AI Health Assistant
I performed medical data annotation for AI training and evaluation datasets as part of a medical AI project. The tasks involved symptom extraction, consultation intent classification, triage label assignment, response safety review, and bad-case tagging for clinical AI applications. My work contributed to model evaluation, LLM prompt development, and the enhancement of product accuracy and consistency. • Consistently labeled text-based consultation records for symptom and intent recognition. • Developed and refined labeling standards to translate clinical workflows into actionable labels. • Applied medical expertise to triage, classify, and identify safety-critical responses in dataset samples. • Collaborated with teams to iterate prompts and create test sets for automated LLM evaluation.