Location: Remote

Employment Type: Contract

Department: Data Operations

About The Role

As a Data Annotation Specialist at Seebot, you will play a key role in building high-quality datasets for computer vision applications. You’ll work with images and video to accurately label, classify, track, and review visual data used to train, evaluate, and improve machine learning models.

Depending on the project, your work may include creating bounding boxes and segmentation masks, tracking objects across video frames, assigning classes or identities, reviewing model-generated annotations, and correcting difficult or low-confidence cases.

Your work directly contributes to the accuracy, consistency, and reliability of the computer vision systems our clients are building.

What you’ll do

• Annotate images and video according to project-specific guidelines.
• Create and review bounding boxes, polygons, segmentation masks, keypoints, classifications, and other annotation types.
• Track objects consistently across video frames.
• Assign labels, classes, attributes, or identities where required.




• Review model-generated annotations and correct inaccurate or incomplete results.
• Identify difficult, ambiguous, or unusual examples and escalate them when necessary.
• Perform quality checks on your own work and annotations completed by others.
• Follow defined labeling rules, quality standards, and delivery requirements.
• Maintain consistency across large datasets and long-running projects.
• Provide feedback when annotation guidelines or workflows need clarification.
• Work with project leads and QA teams to resolve recurring errors and improve annotation quality.

What we’re looking for

• Robust attention to detail and the ability to spot small inconsistencies.
• Ability to follow detailed instructions and apply them consistently.
• Comfortable working with repetitive visual tasks while maintaining accuracy.
• Good judgment when dealing with unclear or difficult examples.
• Ba

📌 Data Annotator (Amritsar)
🏢 Seebot.ai
📍 Amritsar