Data Labeling Annotator

About the role

Annotate and review traffic-camera datasets for autonomous driving and traffic monitoring.

What you'll do

• Create accurate 2D bounding box annotations on full camera frames.
• Adjust existing model outputs and add missing annotations.
• Perform crop-level quality reviews to verify class labels and identify incorrectly labeled or unclear objects.
• Categorize complex traffic subjects across 15 distinct classes, including pedestrians, vehicles, and specialized mobility types.

Requirements

• Experience with CVAT and FiftyOne.
• Strong attention to detail.
• Commitment to annotation accuracy and consistency.

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