Senior Data Quality Manager
In this role, I reviewed and annotated AI model outputs using complex multi-step rubrics for enterprise training data. I managed a team of data annotators, maintained evaluation frameworks, and collaborated with machine learning engineers to enhance data quality. I also provided structured feedback and refined annotation guidelines to boost consistency and quality across workflows. • Maintained annotation accuracy rates above 95% in high-volume pipelines. • Identified subtle errors, edge cases, and flagged ambiguous cases for process improvement. • Built standard checklists and frameworks to improve reviewer calibration. • Reduced rework rates by approximately 35% via process documentation and guideline feedback.