Liquid Palm Industry
Worked on data annotation and labeling projects to support machine learning model training and performance improvement. Responsibilities included: Accurately labeling text, image, and structured data according to provided guidelines Categorizing and tagging datasets for supervised learning tasks Reviewing and validating labeled data for quality and consistency Identifying edge cases and flagging ambiguous entries Maintaining high accuracy while meeting productivity targets Demonstrated strong attention to detail, consistency, and ability to follow complex annotation guidelines across large datasets.