DataAnnotation | AI Training (RLHF evaluation, technical annotation, fact-checking/validation, and prompt engineering)
Evaluate and rank AI-generated responses using criteria for factual accuracy, logical consistency, and compliance with complex safety and style guidelines. Provide technical, SME-level annotation to support quality for specialized models in life sciences, biology, and veterinary medicine. Perform deep-dive fact-checking and validation by verifying AI claims against peer-reviewed journals and scientific databases. • Reinforcement Learning from Human Feedback (RLHF) evaluation and ranking • High-level labeling for complex life-science and veterinary datasets • Fact-checking against scientific sources for validation • Prompt engineering to stress-test model behavior in scientific and medical contexts