Hub
Real-world training data for frontier AI labs and robotics.
Fullstack Engineer
About the role
Own the platforms that collect, check and pay for the data behind the largest AI and robotics models.
About Hub
Hub is one of the fastest-growing data companies, providing real-world training data to the largest AI and robotics companies. Based in San Francisco and backed by Y Combinator and top VCs, our mission is to advance embodied AGI through real-world data and research.
The role
As a founding engineer you own some of the most critical systems in the company, and you understand why they matter to the business as much as how they work. We keep the word founding on purpose: this is where our future tech lead comes from.
What you'll own
- Multiple platforms with 150K+ users collecting data: contributor app, commercial platform, mobile app and internal tools.
- The mobile app, which is becoming our main way to collect data for the World API.
- Anti-fraud and automated QA systems. You own the quality of what we deliver every day.
- Heavy backend work, keeping architecture and ops efficient as we scale to 1M+ users.
- Payout systems moving high daily volumes of money across 100+ countries.
- Live production for several of the top 5 AI companies, with hard deadlines and specs.
- Turning what the founders need this week into features, and deciding what not to build.
You might be a fit if
- 1 to 5 years of experience as a full-stack engineer. More is welcome when the track record justifies it.
- Your education includes classes préparatoires then a grande école.
- Business sense: you've been a founder, a founding engineer at a startup (ideally YC), or added business training to an engineering degree.
- Exceptional individual achievement: elite rankings at competitions or concours, hackathons won, a system you hacked, projects with real users or revenue.
- Active programming you can show: real GitHub contributions, open-source work, projects you built on your own.
- Agentic engineering as a craft. You run several agents in parallel, with a harness you've tuned, and give them a way to check their own work.
- Fluent English, spoken and written.
- Ready to commit fully to our scale-up phase, with strong ownership and focus.
Nice to have
- French, spoken and written. A big plus.
- You've shipped mobile apps on iOS or Android, ideally with React Native.
Stack
- Python, FastAPI, Postgres, React, Docker, AWS and S3, versioned REST APIs.
- Mobile: React Native and Expo, one codebase for iOS and Android, ARKit and ARCore for egocentric video capture. RGB and IMU sync, MCAP output.
- Multimodal pipelines at petabyte scale: ingestion, VLM QA and labeling, fraud detection, stereo depth and hand reconstruction, delivery in MCAP and LeRobot.
- Everything built in-house, not assembled SaaS.
What we offer
- $80,000 to $120,000 yearly salary.
- Stock options between 0.05% and 0.2%.
- Remote, or from our Paris or São Paulo office.
- Direct work with the founders and with top AI labs.
How we hire
1. A short application read by the team. We open your GitHub and handles first.
2. A first conversation about you, Hub and the role.
3. You run npx standout in your terminal with no docker. No take-home, we look at how you already work.
4. A conversation with our co-founder.
5. An answer within 48 hours.
How to apply
Send a short application in your own words:
- Your CV
- The thing you've built that you're most proud of
- Your GitHub and other handles
- The story behind it
About the interview
- A short application read by the team. We open your GitHub and handles first.
- A first conversation about you, Hub and the role.
- You run npx standout hub in your terminal with no docker. No take-home, we look at how you already work.
- A conversation with our co-founder.
- An answer within 48 hours.
About Hub
Hub is a multimodal data lab for physical AI. We capture how humans actually move through the world: first-person video of everyday tasks, hands, homes, and environments, and turn it into the original training data that physical AI and robotics companies need and cannot get from the web.
Robots can't learn the physical world from the internet, because the internet never captured it. How a hand opens a jar, how a body moves through a kitchen, how a task actually unfolds: none of it exists as training data until a real person records it first-person. Hub is the pipeline that brings it in: not annotation, not scraping, not synthetic data. Original data, created end to end.
Headquartered in San Francisco and backed by Y Combinator (P26) with $2M raised, Hub's distributed contributor network spans hundreds of thousands of people across 150+ countries and 100+ languages. Contributors record original egocentric (first-person) video through our own platform, HubApp, verified through human-in-the-loop QA before delivery. We work directly with frontier AI labs, Fortune 500 companies, and top robotics companies, scaling multiple 7 to 8 figure contracts, to scope, collect, and deliver custom real-world datasets from scratch.
Why join us?
We're a small, fast-moving, deeply technical team of builders, data scientists, and ML engineers advancing embodied AGI through real-world data and research, solving the data ceiling that's become a critical bottleneck for physical AI. If you want to build the infrastructure that brings humanity's lived experience to the frontier of AI, we want to hear from you.
