AI Data Specialist (Data Annotation & QA)
Conducted high-accuracy image labeling using bounding boxes and segmentation on large datasets in adherence to strict annotation guidelines. Ensured consistent label quality and accuracy per project requirements, applying quality assurance checks throughout the annotation process. Collaborated remotely with cross-functional teams to clarify ambiguities and refine annotation processes for improved data quality. • Delivered annotated image datasets for AI and computer vision model training • Utilized platforms such as Labelbox, CVAT, and SuperAnnotate • Maintained 100% deadline compliance and rigorous documentation standards • Implemented workflow optimization techniques to increase annotation efficiency by 30%.