STEM Contributor, Outlier AI — White Coat Project
As a STEM Contributor for Outlier AI's White Coat Project, I authored complex medical prompts to train AI models. I systematically reviewed and rated AI-generated medical responses for accuracy and clarity, directly contributing to enhanced AI comprehension in various healthcare domains. My work required the application of broad medical expertise to support accurate knowledge transfer and performance assessment for AI systems. • Designed and crafted original medical prompts across ENT, Psychiatry, Anatomy, and other specialties. • Conducted factual evaluation and content classification of AI responses. • Improved model accuracy by providing detailed evaluations and feedback. • Maintained high reliability and output across six project turns.