Software Engineer (Open Source Contributor)
$50 - $100 per hourmicro1
Open source contributors create reproducible reinforcement learning environments that check whether AI models can repair code, add features, refactor and improve performance, each paired with a golden reference solution. Applicants whose public profile is thin take a HackerRank assessment. The posting is open to people anywhere, with output-based compensation per qualifying task.
What you would do
- Build reproducible reinforcement-learning environments with golden reference solutions
- Troubleshoot bugs and speed problems across varied codebases
- Add new features and refactor legacy code for reliability
- Write up technical reasoning and validate peer-contributed code
What the listing asks for
- Open source contributions shown on a profile like GitHub, or a HackerRank assessment instead
- 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
- Preferred: Solid command of algorithms, data structures and engineering principles
Suits professionals who have visible open source work, enjoy debugging hard problems and can spend about 15 hours on each 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.
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