
AI Data Quality Specialist
20 hours ago
As we strive to perfect AI systems, ensuring the accuracy and reliability of testing, training, and evaluation data is paramount.
This critical role will oversee the development of high-quality annotation workflows, building a team of experts to drive precision and accountability.
- Develop, refine, and document quality assurance processes and standard operating procedures to ensure outputs meet exceptional standards.
- Establish key performance metrics that align with business objectives and industry benchmarks.
- Lead in-depth data analysis to diagnose quality issues, assess strategy effectiveness, and uncover root causes of recurring errors.
The ideal candidate will have 3+ years of experience in data quality management, data operations, or related AI/ML or data annotation roles.
We are seeking an experienced professional who has proven success designing and executing QA strategies for large-scale data annotation projects, as well as leadership experience managing remote teams.
This position offers a unique opportunity to work on cutting-edge problems at the forefront of AI safety, with flexible working arrangements, visible impact, room to grow, and a collaborative team environment.
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