At CVAT.AI, I annotate and review images and video for computer vision projects, creating and correcting bounding boxes, segmentation labels, keypoints, classifications, and object tracks. I check labels for accuracy and consistency, correct errors, and flag unclear cases against project guidelines.
On projects including Golf Player Movement Tracking and Airplane Tracking, I applied keypoints or maintained target identity across video frames. I’ve also reviewed other annotators’ work to identify recurring errors and support consistent labeling.
At Aya Data, I labeled visual data and helped clean and organize datasets across image, video, text, numeric, and audio formats. Earlier, I entered and verified task data at Remotasks.com and supported field information activities at the Ministry of Food & Agriculture.
