
AI Data Quality Specialist
14 hours ago
AI Data Quality Specialist
OverviewThis role is responsible for developing and implementing high-quality data annotation workflows to ensure the integrity of AI models.
Key Responsibilities- Quality Assurance: Develop, refine, and document quality assurance processes and standard operating procedures to guarantee high-quality outputs.
- Metrics Development: Establish comprehensive quality metrics (e.g., F1 score, inter-annotator agreement) that align with business objectives and industry standards.
- Workflow Optimization: Continuously review and refine annotation workflows to identify risks and areas to increase efficiency and reduce errors.
- Data Analysis: Lead in-depth data analysis to diagnose quality issues, assess the effectiveness of quality strategies, and uncover root causes of recurring errors.
- Dashboards: Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
- Team Management: Lead a team of Data Quality Analysts and provide mentorship, training, and expertise, fostering a culture of continuous improvement and accountability.
For this position, we are looking for candidates with strong analytical skills, excellent communication abilities, and experience in quality assurance and data annotation.
BenefitsAs a member of our team, you will have opportunities for professional growth, collaboration with experienced professionals, and participation in projects that make a significant impact on the field.
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