Medical AI Data Annotation & RLHF Contributor
I provided human feedback and auditing for medical AI models to ensure their clinical safety and effectiveness. My work included reviewing medical logic, identifying hallucinations, and supporting localization tasks for Amharic and English content. The aim was to support the health sector with localized, accurate, and culturally relevant artificial intelligence systems. • Reviewed and rated medical AI outputs for accuracy and safety. • Conducted fact-checking to spot clinical hallucinations in AI-generated text. • Assisted in clinical translation and adaptation for Amharic medical content. • Supported risk management by auditing AI model suggestions against clinical protocols.