AI Data Labeling Lead – Structured Annotation for Mental Health AI Personalization
Led the structured annotation of over 55 mental health tasks to enable AI-powered personalization for a mental health application. Developed a multi-dimensional tagging schema and evaluated the quality of labeled data across several key dimensions. Collaborated with cross-functional teams to refine and optimize the annotation and model training pipeline. • Designed and applied a schema labeling therapy type, task goal, target issues, cognitive load, and difficulty progression • Evaluated annotation quality by testing user profile matching, issue coverage, safety screening, and technical integrity • Worked iteratively through three evaluation cycles, fixing annotation and coverage issues after each review • Supported data enrichment and structured content creation for AI-driven mental health tools