AI Content Evaluator / Data Annotator
Annotated large sets of images for computer vision projects, using bounding boxes, polygons, and semantic segmentation for training autonomous systems. Maintained labeling accuracy above 97% through careful guideline adherence. Utilized various platforms to maximize annotation efficiency in remote settings. • Labeled objects with bounding boxes and polygons for vision tasks • Applied semantic segmentation for pixel-level accuracy • Adapted quickly to updated annotation guidelines • Utilized multiple software tools to complete high-volume image annotation