AI Data Contributor
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As an AI Data Contributor, I annotated, categorized, and evaluated large volumes of AI-generated text data using structured guidelines. The role focused on assessing factual accuracy, logical consistency, safety, and instruction adherence in clinical and general text outputs. My contributions involved detecting hallucinations, unsupported claims, and logical inconsistencies to ensure the reliability of AI systems.
• Applied predefined taxonomies and rigorous annotation instructions.
• Conducted side-by-side output comparisons and selected optimal responses.
• Synthesized complex output evaluations into structured reports for model improvement.
• Maintained high accuracy and consistency during extensive annotation tasks.
As an AI Data Contributor, I annotated, categorized, and evaluated large volumes of AI-generated text data using structured guidelines. The role focused on assessing factual accuracy, logical consistency, safety, and instruction adherence in clinical and general text outputs. My contributions involved detecting hallucinations, unsupported claims, and logical inconsistencies to ensure the reliability of AI systems. • Applied predefined taxonomies and rigorous annotation instructions. • Conducted side-by-side output comparisons and selected optimal responses. • Synthesized complex output evaluations into structured reports for model improvement. • Maintained high accuracy and consistency during extensive annotation tasks.
2022 - 2026