AI Training and Data Annotation Specialist
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Specialized in evaluating LLM responses and supporting RLHF initiatives to ensure quality and relevance of AI output. Conducted rubric-based assessment and prompt-driven evaluations, identifying inconsistencies and maintaining high standards of data annotation. Strengthened model reliability through high-volume review, edge-case detection, and detailed documentation of findings.
• Applied strict guidelines and marking rubrics to AI-generated responses.
• Performed structured prompt evaluation and response rating tasks.
• Reviewed and annotated technical content for RLHF dataset improvement.
• Documented findings and contributed to continuous data quality enhancement.
Specialized in evaluating LLM responses and supporting RLHF initiatives to ensure quality and relevance of AI output. Conducted rubric-based assessment and prompt-driven evaluations, identifying inconsistencies and maintaining high standards of data annotation. Strengthened model reliability through high-volume review, edge-case detection, and detailed documentation of findings. • Applied strict guidelines and marking rubrics to AI-generated responses. • Performed structured prompt evaluation and response rating tasks. • Reviewed and annotated technical content for RLHF dataset improvement. • Documented findings and contributed to continuous data quality enhancement.
Not specified