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Data Annotation Team Leader

WeRide
Abu Dhabi, UAE
Full Time
Lead
1 months ago
Data AnnotationQuality ControlData AnalysisProcess OptimizationTeam LeadershipTraining
Free

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Key skills for this role

Data AnnotationQuality ControlData Analysis
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Key Responsibilities

  • Lead, Train & Empower Global Teams: Drive the training and development of overseas data annotators, serving as the go to expert for daily guidance and Q&A support.
  • Turn Feedback into Continuous Improvement: Collaborate closely with stakeholders to monitor feedback and acceptance outcomes. Translate insights into actionable improvements by refining annotation methodologies and enhancing guidelines.
  • Champion Quality Excellence: Design and implement a robust quality control framework that oversees the entire annotation lifecycle. Establish clear evaluation metrics, conduct comprehensive audits, and safeguard project integrity.
  • Optimize Processes & Drive Efficiency: Anticipate operational risks and identify potential team management challenges before they arise. Leverage hands on experience to recommend smart process enhancements and efficiency strategies.
  • Deliver with Precision & Accountability: Own project timelines and quality benchmarks by strategically planning workloads and coordinating resources effectively.

Job Requirements

  • Bachelor’s degree or higher in a relevant field.
  • Minimum 2.5 years experience in data annotation is required.
  • Able to quickly understand project requirements and adapt to operational workflows.
  • English is a MUST and Chinese (written and spoken) is preferred.
  • Able to read and interpret English annotation guidelines and technical documentation accurately.
  • Capable of supporting data annotation tasks for international projects.
  • Familiar with fundamental data analysis techniques, including descriptive statistics, data cleaning, and preprocessing.
  • Proficient in using data analysis tools to perform basic analysis on annotated datasets.
  • Able to provide data driven insights and recommendations to support annotation quality and decision making.
  • Experience in Data Annotation is preferable.

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