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