AI Response Evaluation & Video Annotation Specialist
Video
RLHFWorked on AI training and data labeling projects focused on response evaluation, ranking, prompt validation, and video understanding tasks. Responsibilities included reviewing AI-generated responses for accuracy, ambiguity, factual grounding, and instruction adherence. Performed timestamp verification, action classification, sentiment and tone evaluation, multi-entity tracking, and long-context video annotation tasks for reinforcement learning and multimodal AI systems. Maintained strict quality assurance standards by ensuring all annotations were verifiable, unambiguous, and aligned with project guidelines. Experience included identifying model failures, evaluating edge cases, applying rubric-based grading systems, and improving annotation consistency across large-scale datasets. Regularly handled complex instruction sets and fast-paced task cycles while maintaining high accuracy and attention to detail.