AI Trainer / Data Annotator at Outlier
As an AI Trainer and Data Annotator, I annotated and categorized text data based on established project guidelines for large language model development. I evaluated AI-generated responses for compliance with accuracy, coherence, and safety standards. Structured rubrics were used to assess model performance and provide feedback for continuous improvement. • Synthesized complex prompts and outputs into standardized formats. • Identified and flagged inconsistencies and edge cases to enhance dataset quality. • Maintained high accuracy across substantial annotation volumes in a remote environment. • Ensured quality assurance by consistently applying detailed taxonomies and guidelines.