Data annotation
Participated in data annotation projects to support training of AI systems by labeling and reviewing provided datasets for accuracy and consistency. Reviewed text, audio, and image data according to established instructions, identifying patterns, inconsistencies, and potential errors. Documented observations clearly and reported findings to support project objectives. • Reviewed text, audio, and image data for quality and consistency. • Followed structured guidelines/workflows to produce reliable labels. • Detected dataset issues such as inconsistencies and potential errors. • Documented and reported findings to support downstream model training.