
AI Data Quality Expert
21 hours ago
About this role:
Job DescriptionWe are seeking a proactive leader to architect and uphold high-quality annotation workflows for AI models, ensuring reliable data without compromising speed or efficiency.
Main Responsibilities- Develop quality assurance processes and standard operating procedures to guarantee high-quality outputs.
- Establish comprehensive quality metrics that align with business objectives and industry standards.
- Continuously review and refine annotation workflows to proactively identify risks and areas for improvement.
This role requires experience in data quality management, data operations, or related roles within AI/ML or data annotation environments, with a proven track record in designing and executing quality assurance strategies for large-scale data annotation projects.
Key Qualifications- Proven expertise in data quality management and data operations.
- Strong data-analysis skills with the ability to interrogate large datasets and perform statistical analyses.
- Experience in leading teams and guiding quality assurance processes.
- Remote-first flexibility: Work from anywhere you're most productive.
- Visible impact: Your work directly influences how the world's leading AI teams mitigate risk.
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