Environment Engineer – AI Data Startup

RNB Consultancy; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Health coverage

Gym access

Meal allowance

Equity

Job summary

Rnb Consultancy is hiring 2 engineers for an early-stage San Francisco startup that turns real professional work into reinforcement-learning tasks for frontier AI labs and enterprises. You will build data pipelines and define datasets, working closely with lab researchers.

You should be a hands-on programmer with pipelines or AI apps, with at least 1 year of experience and ability to start soon. This is a full-time on-site role in San Francisco, with equity and comprehensive benefits.

Qualifications

• Hands-on work delivering data
• Strong programmer who built pipelines or AI apps
• At least 1 year of experience
• Able to start soon
• SF office 9-9-6, startup pace

Responsibilities

• Build pipelines turning real work into RL tasks and evals
• Define dataset structures with lab researchers
• Design quality checks and graders with domain experts
• Spot ambiguous tasks and model gaming before shipping

Skills

Data pipelines

Automation

AI applications

Programming

Job description

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