AI Data Specialist / Freelance AI Trainer (Remote) — Data annotation, LLM evaluation, ranking/feedback, and policy/safety checks
Performed data annotation and quality evaluation to support AI model training while following provided guidelines to maintain accuracy and consistency. Conducted ranking and comparison tasks by reviewing LLM outputs and supplying structured feedback to improve downstream model performance. Detected policy violations and low-quality content to support safer and more reliable AI behavior.•Annotated and evaluated training data according to labeling guidelines.•Rated and compared LLM responses to provide improvement-focused feedback.•Flagged policy violations and identified problematic outputs for AI safety.•Completed high-volume annotation and evaluation work in a remote freelance setting.