Data Annotator at WeRide.ai (Dubai, United Arab Emirates)
WeRide.ai· Dubai, United Arab Emirates·
Role details
Work type
Onsite
Employment
Full-Time
Job description
Key Responsibilities:
- Accurately label and categorize large datasets, including text, audio, images, and video.
- Review and correct data annotations to ensure quality and consistency.
- Work closely with the AI and Machine Learning teams to understand project-specific guidelines.
- Provide feedback to improve the data annotation process.
- Meet daily/weekly annotation targets while maintaining high-quality standards.
Requirements:
- Fluent in English (B2 or above).
- Basic computer skills and familiarity with online tools.
- Ability to follow detailed instructions and adapt to changing project needs.
- Prior experience in data annotation or related fields is a plus but not required.
- Experience in Data Annotation is a MUST.
Why work at WeRide.ai
- Culture: Mission-driven environment focused on solving novel, challenging problems in autonomous mobility. Emphasis on continuous learning and career growth.
- Work policy: On-site roles at offices in San Jose (CA), Guangzhou, Beijing, Shanghai, and other locations. Most roles require physical presence.
- Perks: Employee stock plan, competitive compensation, 100% company-paid premium medical plan, free hot breakfast/lunch/dinner, paid vacation and time-off, team-building activities, generous parental leave, 401(k) plan.
- Engineering culture: Strong technical depth – employees come from top companies (Google, Waymo, Microsoft, Baidu, ByteDance) and universities (CMU, UIUC). New grad programs for 2026/2027 available.
- Growth trajectory: Rapidly scaling (44% headcount growth YoY) with opportunities to impact global deployment of autonomous vehicles.