AI Evaluator / RLHF Annotator
I provided RLHF-style feedback to improve generative AI models by evaluating responses based on accuracy, safety, and usefulness. My annotations supported prompt-response assessment and the refinement of model behavior. Careful documentation was maintained for ambiguous or edge-case outputs. • Supported enhancement of AI system reliability. • Marked unclear or edge content for escalation and review. • Focused on content aligned with user intent and policy. • Improved data quality for ongoing AI training projects.