Data labeling and AI data annotation projects (academic/independent)
Performed dataset annotation and data labeling tasks according to provided guidelines and quality standards. Reviewed and validated labeled data to ensure accuracy, consistency, and appropriate handling of patterns and edge cases. Worked independently while meeting deadlines and maintaining attention to detail throughout the annotation workflow. • Applied labeling guidelines for consistent dataset annotation • Performed accuracy and consistency checks on labeled outputs • Identified relevant patterns and edge cases during review • Managed independent execution to deliver on time