AI Data Quality Analyst
Tasks
- Analyze annotation errors and trends
- Collaborate with stakeholders and annotators
- Develop and maintain documentation
- Evaluate data quality using statistical metrics
- Identify automation opportunities
- Perform quality audits on annotated datasets
- Provide feedback on guidelines
- Report on data quality metrics and insights
- Resolve edge-case annotations
- Train annotators
- Use annotation and quality control tools
Perks/Benefits
Skills/Tech-stack
Annotation tools | Automation | Cause analysis | Data Analysis | Data Quality | Documentation | Quality metrics | Root Cause Analysis | Root cause | Stakeholder collaboration | Statistics | Training
Education
Roles
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