Data Labelling
Participated in a data annotation project focused on preparing high-quality datasets for AI/ML models. Tasks included annotating, labeling, and validating data based on predefined guidelines, with strong attention to detail and accuracy. Followed strict quality control processes, handled edge cases, and incorporated feedback from reviewers to continuously improve annotation consistency. The project required meeting daily targets while maintaining precision and compliance with project standards.