AI Data Annotators
Key ResponsibilitiesAnnotate images and video content using object detection techniques (e.g., bounding boxes, segmentation).Identify and extract relevant frames from long-form video recordings (e.g., 1-hour videos).Label video actions and activities based on predefined categories.Review and validate annotations produced by the team to ensure consistency and accuracy.Scope of WorkData Annotation:Annotate approximately 1 million images across 23 use cases.Draw accurate bounding boxes and assign correct class labels to each object.Maintain consistency and high standards in labeling.Target: 1000 annotated images per day per annotator.Quality Assurance:Conduct self-reviews before submission.Revise any flagged or substandard annotations.Data Management:Track progress using project management and data labeling platforms.Log any issues or ambiguities encountered during annotation tasks.RequirementsRequired Skills and QualificationsProven experience in image and video annotation for object detection and action recognition.Ability to work independently, manage time efficiently, and meet tight deadlines.Basic understanding of computer vision concepts is advantageous.Familiarity with standard annotation tools such as CVAT, Labelbox, and Roboflow.Originally posted on Himalayas
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