
AI Data Quality Specialist
5 hours ago
As AI systems scale rapidly across industries, high-quality annotation workflows are critical for testing, training, and evaluation data integrity.
Key Responsibilities- Lead and mentor a team of Data Quality Specialists to drive quality assurance process development, refinement, and documentation.
- Establish comprehensive quality metrics that align with business objectives and industry standards.
- Continuously review and refine annotation workflows to identify risks and increase efficiency.
- Lead in-depth data analysis to diagnose quality issues and assess the effectiveness of quality strategies.
- Develop and maintain dashboards providing real-time insights into quality metrics and project performance.
- Manage annotation and quality control tools to ensure optimal tool performance and alignment with project requirements.
Our ideal candidate will possess exceptional leadership skills, along with strong analytical and problem-solving abilities. They will be responsible for developing and implementing quality assurance processes, as well as analyzing and reporting on project performance.
Join our dynamic team and take on a challenging role that requires strategic thinking, technical expertise, and effective communication. We offer a collaborative environment where you can grow and develop your skills.
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