Healthcare AI Data Annotator & Evaluator
Appen
TextI annotated and evaluated large volumes of AI-generated text for training and validating large language models in healthcare-related domains. My work focused on reviewing outputs for factual accuracy, clarity, coherence, and safety compliance, applying extensive healthcare knowledge throughout the process. I maintained accuracy rates above 98% while supporting dialogue-based and multilingual datasets used for healthcare-adjacent AI systems. • Reviewed AI-generated text outputs for compliance with safety and quality standards. • Identified and flagged misleading or unsafe medical information. • Contributed to quality assurance of large language models in a remote setting. • Worked with confidential data used in North American healthcare environments.