Software Engineer (GitHub Contributor)

Contributors with a visible open source record create reproducible reinforcement-learning setups that probe whether AI models can repair code, add features, restructure code and boost performance. Each setup includes a golden reference solution. People without a strong public profile are assessed through HackerRank instead. Work can be done from anywhere, and compensation is output-based per qualifying task.

What you would do

• Create reproducible reinforcement-learning environments, each with a golden reference solution
• Debug defects and performance bottlenecks across varied codebases
• Implement features and refactor legacy code
• Document reasoning and review peers' code submissions

What the listing asks for

• Visible open source work on a public profile such as GitHub, or else a HackerRank assessment
• Backend experience with Python, Java, Go, Rust, C++, TypeScript or Node.js
• History of building scalable services and APIs
• At ease with debugging, performance tuning and automated tests
• Interview and assessment must be completed without AI assistants or other help

Suits professionals who have a public code portfolio and can commit to roughly 15 hours of work per task run.

Listed pay: $50 to $100 per hour. Where: Remote, worldwide. Time: About 15 hours per task run. Contract work for micro1, a company that hires experts for AI training projects.

Applications go through micro1's own site. AI Trainer Guide is an independent guide to AI training work, not micro1 or its recruiter. The apply link on our page is a referral link: micro1 may pay us if it hires you, at no cost to you.