[Hiring] AI/ML Software Engineer @Careerflow.ai

Role Description

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.

Qualifications

• Comfortable writing and debugging real Python 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.
• Basic comfort with Ubuntu and virtual machines — 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.

Requirements

• 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.
• Fully remote, work from anywhere, any country.
• Flexible — we measure delivered tasks, not hours.
• Pay: $50 USD per accepted and approved task.