The Data Quality & Annotation Manager at Nimble will oversee the quality of human demonstration data used to train their robots. This role involves creating acceptance criteria, managing annotation workflows, and ensuring data quality as the team scales. The manager will also be responsible for building and leading a remote annotation team, conducting quality audits, and collaborating with research and engineering teams to refine data standards.
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