AI Data Quality Analyst – Written Content Evaluation
Text
Oversaw evaluation of large volumes of written content for accuracy, reasoning, and consistency. Applied structured QA frameworks to assess and enhance the quality of AI-generated and human-written responses. Delivered actionable feedback to improve data quality and AI output reliability. • Conducted error detection and pattern recognition across textual data
• Used rubrics and guidelines for consistent evaluation
• Collaborated with teams to address ambiguous cases and edge scenarios
• Enhanced AI output by identifying recurring response issues
Oversaw evaluation of large volumes of written content for accuracy, reasoning, and consistency. Applied structured QA frameworks to assess and enhance the quality of AI-generated and human-written responses. Delivered actionable feedback to improve data quality and AI output reliability. • Conducted error detection and pattern recognition across textual data • Used rubrics and guidelines for consistent evaluation • Collaborated with teams to address ambiguous cases and edge scenarios • Enhanced AI output by identifying recurring response issues
2000 - Present