Data & AnalyticsOn-site

Data Annotator

WeRide.ai · On-site

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from WeRide.ai's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: Dubai
Company website: www.weride.ai

Hiring context

How this role compares at WeRide.ai

WeRide.ai has 18 live roles in MeritLog’s catalog across 4 job families, and 5 of them are in data & analytics. 4 of those listings publish a pay range, a disclosure rate of 22%.

WeRide.ai concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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.

What they're asking for

Fluent in English (B2 or above).Language
Basic computer skills and familiarity with online tools.Skill
Ability to follow detailed instructions and adapt to changing project needs.Skill
Prior experience in data annotation or related fields is a plus but not required.SkillPreferred
Experience in Data Annotation is a MUST.Skill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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.

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