ATOMIC ACTION LABELLER
Supported a large-scale annotation project focused on preparing text and visual data for machine learning development. Worked with structured guidelines to classify text, identify sentiment, tag key information, and review labels for accuracy. Contributed to dataset cleanup and quality improvement by correcting mislabeled entries and reporting unclear samples. Ensured consistent output while meeting daily productivity and quality goals.