Data Collection Auditor

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.

Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.

In this position you will be responsible for reviewing data collection episodes and/or Live auditing episodes to ensure accuracy, consistency, and compliance with established Standard Operating Procedures. This role serves as the final quality checkpoint, identifying deviations, documenting issues, and providing actionable feedback to operators in order to maintain quality data.

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  Review recorded data collection episodes across various tasks and workflows and ensure episode quality, accuracy, completeness, and consistency

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  Keep records of audit results, track quality metrics, and provide clear, actionable feedback to data collection teams to help improve performance and data quality.

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  Collaborate with operators, trainers, and program managers to improve data quality standards

• Strong attention to detail

• Clear written communication and a collaborative attitude

• Comfortable reviewing video recordings and repetitive workflows

• Ability to make objective decisions based on defined quality criteria

• Experience in quality assurance, auditing, operations, or data annotation is preferred

• Familiarity with robotics, AI data collection, or annotation projects.

• Experience reviewing task-based performance or operational processes.