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

Careerflow.ai • ,

13d • $50 • Remote

About The Position

Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products. 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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• $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.

What This Job Offers

• Career Level: Entry Level
• Education Level: No Education Listed