Data Annotation QA
WeRide is a Guangzhou-headquartered autonomous-driving technology company offering commercial L2–L4 autonomous mobility, logistics, and sanitation products and services.
About WeRide
Established in 2017, WeRide develops and commercially deploys autonomous-driving technology through Robotaxi, Robobus, Robovan, Robosweeper, and ADAS offerings, powered by its WeRide One platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will label and annotate text, image, audio, and video data according to project guidelines. You will organize raw data into machine-readable formats, identify edge cases, review annotations, conduct quality checks, report quality metrics and error trends, and provide feedback to annotators.
Requirements
- Proficiency in Chinese and English
- Data annotation experience
- Ability to follow structured guidelines and instructions
- Analytical skills
- Problem-solving
- Ability to perform repetitive tasks consistently
Responsibilities
- Label and annotate text, image, audio, and video data
- Categorize and structure raw data into machine-readable formats
- Follow annotation guidelines consistently
- Identify patterns, edge cases, and ambiguous data for escalation
- Review annotated data for accuracy, consistency, and completeness
- Perform random and targeted dataset quality checks
- Identify mislabeling, incorrect classifications, and inconsistencies
- Provide feedback to annotators
- Track and report quality metrics and error trends