Data Annotation Team Leader

Job description

### Key Responsibilities: 1. **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. 2. **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. 3. **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. 4. **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. 5. **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. ### Job Requirements: **1. Education & Experience** - 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. **2. 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. **3. 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.