AI Data Quality Expert
6 days ago
About the Role:
We are seeking an experienced Data Quality Specialist to ensure the integrity and accuracy of testing, training, and evaluation data for AI systems.
This role involves building and guiding a high-performing team, ensuring quality at scale, driving transparency and insight, and championing tool innovation and efficiency.
Main Responsibilities- Develop, refine, and document quality assurance processes and standard operating procedures.
- Establish comprehensive quality metrics that align with business objectives and industry standards.
- Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
- At least 3 years of experience in data quality management, data operations, or related roles within AI/ML or data annotation environments.
- A proven track record in designing and executing quality assurance strategies for large-scale, multi-modal data annotation projects.
- Strong data-analysis skills, with the ability to interrogate large datasets, perform statistical analyses, and translate findings into actionable recommendations.
- Excellent communication skills, with experience presenting complex data and quality insights to technical and non-technical stakeholders.
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