Digital Annotation Expert at Mercor
Worked as a data labeling specialist responsible for annotating datasets accurately according to project-specific guidelines. Conducted validation reviews and corrections to keep labeling consistent and accurate for model training. Analyzed data patterns and anomalies to provide actionable feedback for model improvement.• Labeled text, images, video, and audio using guideline-driven taxonomy.• Verified annotation quality through review and correction workflows.• Evaluated AI behavior across scenarios to surface errors or biases.• Identified data irregularities and contributed improvement recommendations.