Data Annotation Team Leader

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. Proactively document recurring challenges, perform root-cause analysis, and implement effective solutions to elevate team performance and consistency.
• 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 — ensuring quality standards are not only met but consistently exceeded.
• 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 by preventing substandard data from progressing downstream.
• 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 that strengthen overall project execution.
• Deliver with Precision & Accountability. Own project timelines and quality benchmarks by strategically planning workloads and coordinating resources effectively. Ensure high‑quality data is delivered on schedule, meeting — and surpassing — client expectations.

• Education & Experience:
  
  Bachelor’s degree or higher in a relevant field. Minimum 2.5 years experience in data annotation. Able to quickly understand project requirements and adapt to operational workflows.
• Language Proficiency:
  English and Chinese (written and spoken) is a MUST. Able to read and interpret English annotation guidelines and technical documentation accurately. Capable of supporting data annotation tasks for international projects.
• Technical & Analytical
  
  Skills:
  
  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.