AI Trainee, Data Annotator
As an AI trainee and data annotator, I labeled over 10,000 text and image samples for both NLP and computer vision tasks. My responsibilities included performing quality assurance and cross-reviews to ensure label consistency and dataset reliability. I used Python scripts to automate data validation and collaborated with engineers to refine labeling guidelines and select impactful datasets. • Annotated both text and image data for NLP and computer vision projects. • Utilized Labelbox and CVAT platforms for data annotation workflows. • Participated in QA processes for improved dataset quality. • Developed automation scripts for data validation and workflow efficiency.