Independent AI Data Reviewer and Annotator (Freelance, Remote)
Served as an Independent AI Data Reviewer and Annotator, checking AI-created outputs for logical accuracy, factual consistency, and reasoning quality across STEM and everyday domains. Applied statistical thinking to identify recurring model error patterns and document persistent weaknesses in LLM responses relative to domain-specific requirements. Followed detailed annotation guides and multi-step instructions to maintain consistently high accuracy while producing written feedback reports for project managers.• Reviewed AI-generated results for correctness, consistency, and reasoning quality.• Tracked domain-specific information requirements and model performance issues.• Maintained annotation accuracy above 96% through guideline adherence.• Completed onboarding, assessments, and training modules across multiple AI data labeling software systems.