Open Source Contributor for Reinforcement Learning Environments
Overview
Open source contributors join micro1 on a remote contract to tackle a sophisticated software engineering project. You’ll build reinforcement learning environments that stress test AI models on complex DevOps and CI/CD style workflows, using common CLI tools like git, docker, gdb, and asan. Expect to contribute production‑quality code, reviews, and documentation while aligning with project goals and established best practices. Strong open source visibility on GitHub or GitLab is required, with hands‑on work in C++, Python, Java, Go, TypeScript, or Rust.
What You'll Do6
- 1Contribute production-grade code, reviews, and documentation to relevant open-source repositories.
- 2Design and implement algorithms and system components in one or more of the following languages: C++, Python, Java, Go, TypeScript, or Rust.
- 3Diagnose and fix technical issues, performance bottlenecks, and bugs in existing codebases.
- 4Collaborate with other contributors and stakeholders to align deliverables with project goals and standards.
- 5Create and improve technical documentation to support onboarding and knowledge sharing.
- 6Participate in code reviews and provide constructive feedback to raise overall code quality.
Requirements3
- 1Clear open-source contributions with a verifiable profile on GitHub or GitLab.
- 2Experience programming in C++, Python, Java, Go, TypeScript, or Rust.
- 3Familiarity with large-scale, distributed codebases is preferred.
Who Should Apply
The ideal candidate has a proven track record in open-source work and can demonstrate hands-on contributions across multiple languages listed, especially C++, Python, Java, Go, TypeScript, or Rust. This role suits you if you enjoy building testable RL environments and collaborating within a distributed team. It may not be the best fit if you lack open-source activity, cannot showcase reproducible work, or have limited experience with large codebases or DevOps‑like workflows.
Salary Insight
Pay is task-based and disclosed per contribution; the rate range is $50–$150 per hour. Exact earnings depend on the complexity and number of completed tasks, with a minimum weekly submission requirement.
Location
Required Skills
Application Tip
Highlight a concrete open‑source contribution that implemented or tested a complex workflow, and quantify its impact (e.g., lines of code, performance gains, or bugs fixed) to strengthen your candidacy.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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