Environment Engineer – AI Data Startup
You build data pipelines yourself and you love digging into individual examples. Turn real expert work into training environments for frontier AI.
An early-stage San Francisco startup converts real professional work, such as an engineering drawing and its 3D model, into reinforcement-learning tasks and evaluations for frontier AI labs and enterprises. It starts with engineering and life sciences, already runs at an eight-figure revenue rate, and works with several of the leading labs. The team is six people today and heading to about fifteen by year end.
They're hiring 2 engineers for this team.
What you'll own
Pipelines that turn raw professional work into RL tasks and evals
Dataset definitions, worked out together with lab researchers
Quality checks and graders, designed with domain experts
Spotting ambiguous tasks and tasks a model could game, before they ship
Must-haves:
Hands-on work in data delivery, RL environments or evals at a data company, or a background in quant trading (internships included). Working at a data company in an unrelated function, like payments, doesn't qualify.
A strong programmer who built pipelines, automation or AI applications personally, not only specified them
At least 1 year of experience
Able to start soon
Working from the San Francisco office, 9-9-6, and happy in a startup where things shift quickly
Bonus points:
Experience with synthetic data, agents or evaluating models
A data-quality problem you tracked down by inspecting individual examples
Side projects you shipped on your own time
What's in it for you:
$200k–$400k base + 0.1–0.5% equity
Working day to day with AI researchers, in a small and very strong team
Health, dental and vision cover, gym access, and $1,000 a month for meals
Good to know
Full-time, on-site in San Francisco, 9-9-6
Visa options are limited: US citizens and green card holders, refugees or asylees, and H-1B, O-1 or TN holders can be considered, so please share your exact status
Process: profile review system-design interview (1 hour) open-ended coding interview (1 hour, AI tools allowed) one day on-site with a project and a short presentation offer
When you apply, please include
Your CV (PDF), your LinkedIn URL, and GitHub or a link to something you built
An eval, RL environment or data pipeline you built yourself, in a few sentences
Your current location, and confirmation that on-site San Francisco works for you
Your visa or citizenship status, and if you'll need sponsorship
When you could start, your base salary expectation, and any other interview processes you're in
Does this sound like you? Apply now. If you're a match, we'll be in touch within 3 working days.
RnB Consultancy | Netherlands | 3604 AB Maarssen | KvK 71489703