Data Annotator

• Label static imagery and video across a range of sensor types, image qualities, and scene conditions, including both real-world and synthetic data.
• Produce 2D bounding boxes, instance and semantic segmentation masks, and keypoint annotations to project specification.
• Produce oriented and rotated bounding boxes where scene geometry requires them.
• Produce 3D and 6 degrees-of-freedom pose, orientation, and scale annotations on projects that require them.
• Produce multi-object tracking annotations, maintaining consistent object identity across full sequences — through occlusion, frame exit and re-entry, scale change, and camera or platform motion.
• Review, correct, and accept or reject model-assisted and pre-labeled output; report systematic pre-label failure modes rather than silently correcting the same error frame by frame.
• Work strictly to the project ontology and guidelines; escalate ambiguous or out-of-ontology objects rather than guessing.
• Meet assigned accuracy and throughput targets, and hold that standard consistently across large batches.
• Complete rework promptly from QA feedback, applying the correction to comparable cases in the same batch.
• Log edge cases and recurring ambiguities so they can be adjudicated and folded into the guidelines.
• Follow all customer data-handling, confidentiality, and information security requirements for the assigned project, and keep required training current.
• 1+ years of image or video annotation experience, or equivalent precision work in a quality-managed production environment.
• Working familiarity with at least one professional annotation platform (for example CVAT, V7 Darwin, Labelbox, Scale, or comparable).
• Practical understanding of bounding boxes, segmentation masks, keypoints, and object tracking — and of what makes each one correct rather than merely present.
• Strong visual attention to detail and the discipline to hold a standard across tens of thousands of frames.
• Ability to follow written labeling guidelines exactly, and to ask precise questions when they are silent on a case.
• Comfortable working in remote-desktop or browser-based environments.
• Experience across multiple annotation modalities rather than a single task type.
• Experience with aerial, overhead, satellite, or thermal/IR imagery.
• Experience with long-form video and tracking work.
• Experience reviewing model-assisted pre-labels in a human-in-the-loop pipeline.
• Prior work on government or regulated-industry programs.
• Program eligibility: Some programs require eligibility for a government background investigation or credentialing. Assignment to those programs is contingent on meeting those requirements.
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