Data Labeler/Annotation Specialist
Served as a data labeler responsible for the precise annotation of images, text, video, and audio to enhance AI and Machine Learning models. Utilized annotation guides to undertake bounding boxes, semantic segmentation, keypoint annotation, category classification, and Named Entity Recognition (NER). Focused on quality assurance, peer review, and rigorous adherence to productivity and accuracy standards. • Successfully labeled over 25,853 images/videos/texts, strictly following complex annotation guides. • Participated in quality assurance processes, helping to reduce error rates by 15%. • Maintained over 95-98% accuracy on daily/weekly targets while reporting inconsistencies in labeling guides. • Collaborated with the Machine Learning team to refine project annotation rules.