Software Engineer, Data Quality
SeedBringing general-purpose AI into the physical worldPhysical intelligenceInvestment ThesisBetting on a ‘ChatGPT moment’ for robotics—led by Sergey Levine and Chelsea Finn, whose groundbreaking research now becomes reality.MilestoneLearn More →- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to SeedBringing general-purpose AI into the physical worldPhysical intelligenceInvestment ThesisBetting on a ‘ChatGPT moment’ for robotics—led by Sergey Levine and Chelsea Finn, whose groundbreaking research now becomes reality.MilestoneLearn More →. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Software Engineer, Data Quality at Physical Intelligence. This role focuses on ensuring the quality of multimodal data used for training robot foundation models. Responsibilities include building and running QA processes for external data, defining quality standards in collaboration with researchers, developing automated tooling and infrastructure for quality assurance, and managing vendor quality loops.
Skills and focus areas
- data quality assurance
- audit
- multimodal data
- vendor management
- quality standards definition
- software development
- tooling
- infrastructure
- automation
- sampling strategies
- feedback delivery
- process iteration
Summary written by Ramai from the original posting. Full details and requirements are on SeedBringing general-purpose AI into the physical worldPhysical intelligenceInvestment ThesisBetting on a ‘ChatGPT moment’ for robotics—led by Sergey Levine and Chelsea Finn, whose groundbreaking research now becomes reality.MilestoneLearn More →’s careers page.
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