AI Image & Video Annotation Specialist

Innodata Inc.; Washington (District of Columbia); Hybrid; USD 42,000 - 63,000; Full time

Job summary

Innodata Inc. is seeking annotators to produce high-fidelity annotations on imagery and video used to train ML models.

You'll follow a defined ontology, hit quality and throughput targets, and work across projects and customers as needs change. Responsibilities include labeling with 2D boxes, masks, keypoints, 3D/6DoF data, and multi-object tracking; review outputs, and report consistent errors to improve guidelines.

Qualifications

• 1+ years of image or video annotation experience in a production setting.
• Ability to follow written labeling guidelines exactly and ask precise questions when unclear.
• Experience with bounding boxes, segmentation masks, keypoints, and object tracking.
• Strong attention to detail and commitment to quality across large batches.

Responsibilities

• Label imagery and video across sensor types and conditions.
• Create 2D bounding boxes, masks, keypoints, and oriented/rotated boxes.
• Perform 3D/6DoF annotations where required.
• Maintain object identity in multi-object tracking across sequences.
• Review and correct model-assisted outputs and report systematic errors.
• Adhere to project ontology and data-handling requirements.

Skills

Annotation accuracy and quality

Attention to detail

Following labeling guidelines

Communication for QA feedback

Tools

CVAT

V7 Darwin

Labelbox

Scale

Job description

Innodata Inc. is seeking annotators to produce high-fidelity annotations on imagery and video used to train ML models.

You'll follow a defined ontology, hit quality and throughput targets, and work across projects and customers as needs change. Responsibilities include labeling with 2D boxes, masks, keypoints, 3D/6DoF data, and multi-object tracking; review outputs, and report consistent errors to improve guidelines.