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 SummaryWe’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 ResponsibilitiesRun a research bet on Build data: train, evaluate, ablate, and write down what the data actually taught
Work with researchers, dataset, and evals so the internship changes collection or evals, not only a slide
Build the training and data path you need (PyTorch, dataset slices, evals) instead of waiting for a platform team
Cover research and engineering. There is no intern track that is only notebooks
Progress toward a Bachelor’s, Master’s, or PhD (preferred) in CS, EE, or a related field
You have trained real models (course, lab, open source, or a paper). PyTorch or equivalent
You want in-the-wild physical or video data, not only academic splits
You can operate independently on a 12-week bet
You will be in San Francisco, in person
Video, world models, robotics, or multimodal training
Egocentric or in-the-wild video
Large-scale training, dataset curation, or distributed GPU work
Publication at a top conference (CVPR, NeurIPS, ICML, ICLR, RSS, CoRL, or equivalent)
A paper, open-source model, or project that changed what you did next
Competitive pay
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)
Various wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification
Unlimited Codex and Claude credits
Travel
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]
Skills Required
- Progress toward a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field
- Experience training real machine learning models through coursework, laboratory work, open source, or publications
- Experience with PyTorch or an equivalent framework
- Interest in in-the-wild physical or video data rather than only academic datasets
- Ability to operate independently on a 12-week research project
- Ability to work in person in San Francisco
- Experience with video, world models, robotics, or multimodal training
- Experience with egocentric or in-the-wild video
- Experience with large-scale training, dataset curation, or distributed GPU work
- Publication at a top conference such as CVPR, NeurIPS, ICML, ICLR, RSS, or CoRL
- A paper, open-source model, or project that influenced subsequent work
What We Do
Build AI is a public benefit corporation and data hyperscaler for Physical AI. It integrates hardware manufacturing, logistics, data collection, and model training to scale egocentric physical-labor datasets for researchers and labs. Its mission is to solve physical labor and unlock human potential, advancing robotics and physical superintelligence. The company operates in San Francisco and Shenzhen and develops economically useful human-data infrastructure.
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