Join Skild AI as a Program Manager to build and scale data collection and annotation pipelines for robotics.
Posted by employer 3 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Program Manager will oversee the development and scaling of data collection and annotation processes essential for advancing Skild AI's robotics models. Key skills include program management, vendor coordination, and a strong grasp of operational metrics, particularly in fast-paced startup settings. This position is ideal for individuals with 2-3 years of relevant experience, particularly those from top engineering or MBA programs in India, who thrive in dynamic environments. Skild AI's innovative approach to robotics offers a unique opportunity for those eager to contribute to groundbreaking projects.
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Quick facts
From the original posting
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
We're looking for a high-agency Program Manager to build and scale data collection and annotation pipelines that power our robotics foundation models. In this role, you'll own end-to-end operations across vendor coordination, data quality, and annotation workflows — working cross-functionally with research and engineering teams to ensure we have the high-quality training data needed to advance the frontier of general-purpose robotics.
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