AI/ML Software Engineer-Task Creator (RL Environments) (Contract)

Careerflow
Careerflow

Software Engineering, Data Science

International Falls, MN, USA

Posted on Aug 26, 2026

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