Medical AI Data Annotation & Quality Review
Reviewed and labeled healthcare-related text data for AI training purposes, including medical terminology, patient symptoms, triage-related information, and clinical documentation. Performed quality checks for accuracy, consistency, and relevance of annotated datasets. Familiar with identifying medical concepts, categorization, and supporting AI model improvement through structured data evaluation.