- Collaborate across teams to define and establish quality goals and standards.
- Curate and maintain critical benchmark datasets to serve as ground truth.
- Develop and update training materials and certification tests for annotator onboarding.
- Monitor performance drift and manage quality metrics and scoring models.
- Conduct rigorous, double-blind quality audits of computer-vision datasets.
- Execute high-priority production labeling for critical needs.
Quality AssuranceComputer Vision