Tentang peran ini
- 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 is required.
- 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.
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