Research Intern
US$12,000 / mth base salary
Posted 30 Aug 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Internship
| Base salary | US$12,000 / mth |
|---|
Field of studyComputer Science, Electrical Engineering (or related)
Study levelBachelor's or higher
About Build AI
Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.
Job Summary
We’re hiring Research Interns to train on the physical labor dataset. You run a real research bet for about 12 weeks, not a toy project. Collection is monocular 1920×1080p 30fps, targeting 100M hours. If you have a bet on video, world models, or physical-labor data, you might as well run it here.
Key Responsibilities
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Run a research bet on Build data: train, evaluate, ablate, and write down what the data actually taught
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Work with researchers, dataset, and evals so the internship changes collection or evals, not only a slide
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Build the training and data path you need (PyTorch, dataset slices, evals) instead of waiting for a platform team
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Cover research and engineering. There is no intern track that is only notebooks
You may be a good fit if you have (Must-have qualifications)
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Progress toward a Bachelor’s, Master’s, or PhD (preferred) in CS, EE, or a related field
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You have trained real models (course, lab, open source, or a paper). PyTorch or equivalent
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You want in-the-wild physical or video data, not only academic splits
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You can operate independently on a 12-week bet
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You will be in San Francisco, in person
Strong candidates may also have experience with (Nice-to-have qualifications)
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Video, world models, robotics, or multimodal training
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Egocentric or in-the-wild video
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Large-scale training, dataset curation, or distributed GPU work
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Publication at a top conference (CVPR, NeurIPS, ICML, ICLR, RSS, CoRL, or equivalent)
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A paper, open-source model, or project that changed what you did next
Benefits
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Competitive pay
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Medical, dental, and vision packages with generous premium coverage
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$500 per month credit for waiving medical benefits
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Housing subsidy of $2k per month for those living within walking distance of the office