
Quality Assurance (QA) 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:
- Data Annotation (DA)
- Label and annotate data (text, image, audio, or video) based on project guidelines.
- Categorize and structure raw data into machine-readable formats.
- Follow strict annotation instructions to ensure consistency across datasets.
- Identify patterns, edge cases, and ambiguous data for escalation.
- Meet daily/weekly productivity and accuracy targets.
- Quality Assurance (QA)
- Review annotated data to ensure accuracy, consistency, and completeness.
- Perform random and targeted quality checks on datasets.
- Identify errors such as mislabeling, incorrect classifications, or inconsistencies.
- Provide clear feedback to annotators for improvement.
- Track and report quality metrics and error trends.
Requirements:
- Proficiency in Chinese and English is a MUST.
- Strong attention to detail and accuracy.
- Ability to follow structured guidelines and instructions.
- Good analytical and problem-solving skills.
- Experienced as Data Annotator is a MUST.
- Ability to handle repetitive tasks with consistency.
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.