AI Data Annotator & Evaluator
As an AI Data Annotator & Evaluator at Atlas, I annotated and evaluated AI-generated outputs for quality, accuracy, and alignment across various task types. I applied structured quality-control frameworks to assess model behavior and identify inconsistencies. My work contributed to feedback loops that improved prompt performance and model accuracy. • Performed text classification and entity recognition. • Graded and documented AI responses using internal evaluation protocols. • Flagged hallucinations and bias within LLM outputs for remediation. • Preprocessed datasets and structured model inputs for reliable annotation.