Data Annotator

Role Overview

Data Annotator at WeRide AI.

Role Purpose

Support machine learning model development by accurately annotating and labeling data to train autonomous vehicle systems.

Key Responsibilities

Data Labeling & Annotation

• Annotate images, video frames, and sensor data according to detailed guidelines and specifications.
• Label objects, pedestrians, vehicles, road features, and environmental elements for computer vision training datasets.
• Maintain consistency and accuracy across large volumes of annotation work.
• Follow quality standards and validation protocols throughout the annotation process.

Quality Assurance

• Verify annotation accuracy against established criteria.
• Flag and report discrepancies or ambiguous data points for review.
• Participate in quality control reviews and corrections.

Collaboration & Documentation

• Communicate with team leads regarding annotation challenges or unclear cases.
• Document annotation decisions and maintain detailed records of work completed.

Additional Information

• Full details are available on the employer's original posting.