Key Responsibilities:
- Data Annotation (DA)
- Label and annotate data (text, image, audio, or video) based on project guidelines.
- Categorize and structure raw data into machine-readable formats.
- Follow strict annotation instructions to ensure consistency across datasets.
- Identify patterns, edge cases, and ambiguous data for escalation.
- Meet daily/weekly productivity and accuracy targets.
- Quality Assurance (QA)
- Review annotated data to ensure accuracy, consistency, and completeness.
- Perform random and targeted quality checks on datasets.
- Identify errors such as mislabeling, incorrect classifications, or inconsistencies.
- Provide clear feedback to annotators for improvement.
- Track and report quality metrics and error trends.
Requirements:
- Proficiency in Chinese and English is a MUST.
- Strong attention to detail and accuracy.
- Ability to follow structured guidelines and instructions.
- Good analytical and problem-solving skills.
- Experienced as Data Annotator is a MUST.
- Ability to handle repetitive tasks with consistency.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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