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

Remote (International) Contract

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

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* 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

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* 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

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* 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

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* $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

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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, India Only

Hours

Flexible — we measure delivered tasks, not hours

Pay

$50 USD per accepted and approved task