AI/ML Software Engineer-Task Creator (RL Environments) (Contract)
Software Engineering, Data Science
International Falls, MN, USA
Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products.
About the work
We build hard, realistic tasks used to test how well AI agents do real work on a computer. Each task is a small scenario running on a Linux desktop — real files, real applications, real documents — plus a program that automatically checks whatever the agent produced.
You create those tasks end to end. The bar: hard for a top AI agent, straightforward for a competent human.
Responsibilities
· Design a realistic multi-step scenario across a few applications.
· Put together the files it needs — spreadsheets, documents, emails, data. Sometimes supplied to you, sometimes built by you.
· Write the instruction the AI agent receives: clear, complete, no giveaways.
· Write Python to set up the environment and to score the result automatically.
· Test it, run it, and hand over short documentation.
What we are looking for
· Python — comfortable writing and debugging real scripts.
· Heavy AI user — you work with AI coding tools and models every day and get genuinely good output from them.
· Some AI / ML background — worked on AI projects, at an AI company, or with agents and evaluations.
· Ubuntu and virtual machines — basic comfort. Everything runs on hosted Linux VMs, so you should be fine on a terminal and inside a Linux desktop.
· Careful and detailed — an unclear instruction or a sloppy check breaks the task.
· Git basics.
A strong plus
· You have built RL environments before — anything where an agent acts and a program scores the outcome.
· You have built tasks or benchmarks for computer-use agents (agents that control a real desktop, browser, or operating system).
· You know OSWorld or similar computer-use benchmarks. Not required, but it means you will be productive on day one.
Payment and availability
· $50 USD per task, paid once the task is accepted and approved in review.
· One free revision round if a task needs fixes.
· No cap on how many tasks you deliver — throughput is up to you.
· Must be available to start the next day and stay through the 3–4 week window.
· Flexible hours, fully async. We ask for a daily check-in and feedback turnaround within about a day.
Process
Short application → the screening questions below → a quick call → one paid pilot task ($50 on acceptance) → onboard. Decisions within 48 hours.
Engagement
Short-term contract, 3 to 4 weeks
Start
Immediately — the day after selection
Location
Fully remote, work from anywhere, any country
Hours
Flexible — we measure delivered tasks, not hours
Pay
$50 USD per accepted and approved task