Registered Nurse (AI Training Specialist / Medical Data & AI Safety Reviewer)
RLHFPerformed medical data validation and clinical fact-checking activities aligned with AI safety and RLHF-style review of model outputs. Applied structured review techniques to detect inaccuracies, mitigate hallucinations, and score or evaluate response accuracy against clinical standards. Supported healthcare language model evaluation through adversarial prompt testing and detailed documentation of quality findings. • Verified accuracy, consistency, and completeness of complex clinical information across datasets • Identified discrepancies in records and documentation to improve data integrity and reliability • Cross-referenced information using evidence-based reasoning and established safety protocols • Followed detailed guidelines to produce consistent, high-quality review outputs