AI Data Quality Analyst-4

Tasks

• Analyze annotation errors and trends
• Assist in training annotators
• Collaborate with project stakeholders
• Develop and update quality standards documentation
• Evaluate data quality using statistical metrics
• Generate quality reports and insights
• Identify automation opportunities
• Perform quality audits on datasets
• Provide feedback on annotation pipeline
• Resolve edge-case annotations
• Use annotation and quality control tools

Perks/Benefits

• Inclusive environment
• Professional growth opportunities

Skills/Tech-stack

AI | Automation | Cause analysis | Data Analysis | Data Annotation | Data Quality | Data Visualization | Documentation | Machine Learning | Python | Quality metrics | Root Cause Analysis | Root cause | Statistical Analysis | Training