
AI Data Assurance
2 days ago
In today's rapidly evolving AI landscape, the accuracy and reliability of data play a vital role in ensuring seamless system performance.
Primary Responsibilities- Develop and implement effective quality assurance processes to guarantee high-quality outputs.
- Establish comprehensive metrics (e.g., precision, recall) that align with business objectives and industry benchmarks.
- Continuously assess annotation workflows to identify areas for improvement and minimize errors.
Data Analysis & Reporting
- Lead in-depth data analysis to diagnose quality issues, evaluate strategy effectiveness, and pinpoint root causes of recurring errors.
- Design and implement real-time dashboards for quality metrics and project performance.
- 3+ years of experience in data quality management, data operations, or related AI/ML or data annotation roles.
- Proven track record of designing and executing QA strategies for large-scale, multi-modal data annotation projects.
- Leadership experience managing remote or distributed teams.
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AI Data Assurance Specialist
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AI Data Quality Manager
14 hours ago
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