Data Annotator — Atlas capture (May 2025–Presnet)
Labeled and categorized data for NLP and computer vision tasks while maintaining high accuracy across multiple projects. Provided feedback to refine annotation workflows and reduce ambiguity in labeling guidelines. Supported dataset consistency through careful categorization and quality-oriented labeling practices. • Categorized NLP data for downstream training tasks • Maintained annotation accuracy above target thresholds • Reviewed and improved labeling guidelines via feedback • Contributed to workflow refinement to reduce labeling ambiguity