AI/ML Software Engineer-Task Creator (RL Environments) (Contract)
Company: CareerFlow
Location: Remote (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-08-26
About this role
Remote (International)
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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 ...