AI Data Annotation Specialist – Multi-Modal Projects
Worked on multiple data labeling and annotation projects supporting AI and machine learning model development. Responsible for annotating text, image, and audio datasets with high accuracy according to detailed client guidelines. Tasks included text classification, sentiment analysis, named entity recognition (NER), bounding box annotation, and content moderation labeling. Maintained strict quality standards by following annotation protocols, meeting productivity targets, and performing self-review before submission. Collaborated with QA teams to resolve edge cases and improve labeling consistency. Contributed to training datasets used for LLM improvement, chatbot responses, and computer vision model optimization.