Data Annotation QA
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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.