Data Annotator
Core
Produce high-fidelity annotations on imagery and video to train and evaluate machine learning models.
Role type
Data Annotator (Computer Vision)
Builds
Training data for AI/ML models
Domain
Artificial Intelligence / Computer Vision
Deliverable
production ML models
Required skills
2D bounding boxes, instance and semantic segmentation masks, keypoints, oriented/rotated bounding boxes, 3D and 6 degrees-of-freedom pose annotations, multi-object tracking, model-assisted pre-label review, visual attention to detail, adherence to labeling guidelines
Preferred skills
experience with aerial/satellite/thermal imagery, long-form video tracking, government or regulated-industry program experience
Technologies
CVAT, V7 Darwin, Labelbox, Scale
Responsibilities
Label static imagery and video across various sensor types and conditions; produce specific annotation types (boxes, masks, keypoints, tracking); review and correct model-assisted pre-labels; log edge cases and ambiguities; meet accuracy and throughput targets; follow data-handling and security requirements