GitHub Contributor for AI Training (Remote, Contract)
Listing checked September 9, 2026 · pay as published by Micro1
Overview
micro1 is looking for senior software engineers to build reinforcement learning environments for a customer project. You will create reproducible coding challenges that test an AI model's ability to fix bugs, add features, refactor code, and boost performance. Each task includes a golden reference solution. No AI background is needed, just deep expertise in languages like Python3, Java, Rust, C++, or TypeScript. This is a remote contract role at roughly 15 hours per week.
What You'll Do7
- 1Design and build reinforcement learning environments that simulate real software engineering problems, complete with a clear problem statement and a verified reference solution.
- 2Write expert-level code samples and debugging walkthroughs in your primary language, such as Python3, Java, Rust, Go, C++, or TypeScript.
- 3Diagnose and fix complex defects and performance bottlenecks across varied codebases, documenting your reasoning step by step.
- 4Implement new features that are scalable and maintainable, following industry best practices.
- 5Refactor legacy code to improve clarity, efficiency, and long-term reliability.
- 6Document your technical decisions and solution approaches to support high-quality AI training data.
- 7Review and validate code contributions from other engineers for correctness and clarity.
Requirements8
- 1Significant hands-on experience in at least one of: Python3, Java, Rust, Go, C++, or TypeScript.
- 2Strong grasp of algorithms, data structures, and core software engineering principles.
- 3Proven ability to debug complex systems, resolve bugs, and deliver effective performance optimizations.
- 4Experience refactoring large codebases and modernizing legacy systems.
- 5A track record of shipping high-impact features from concept to delivery in cross-functional teams.
- 6Excellent documentation and communication skills to explain technical concepts clearly.
- 7Curiosity about AI and its challenges, though prior AI experience is not required.
- 8A public GitHub or GitLab profile with clear open source contributions.
Who Should Apply
This role suits a senior engineer who enjoys solving intricate coding puzzles and has a portfolio of open source work to prove it. You should be comfortable working independently and documenting your thought process in detail. If you prefer building products over teaching or writing code samples, this may not be the right fit. Candidates often get rejected when their GitHub profile lacks meaningful contributions or when they cannot clearly explain their debugging and refactoring approach. Strong algorithmic thinking and clean code are essential.
Salary Insight
The pay range is $50 to $100 per hour, but compensation is output-based. You are paid per task that meets the project specifications, and the time per task varies by experience. There is a minimum number of tasks required each week.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$50–$100/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 510 similar roles that publish pay · 90 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Hiring most right now: micro1 (259) · Mercor (79) · SME Careers (60)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation8%
- data annotation7%
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Compensation
$50–100/hr
Required Skills
Application Tip
Before applying, review your GitHub or GitLab profile and ensure it highlights your best open source work, especially in Python3, Java, Rust, Go, C++, or TypeScript. Be ready to discuss a specific bug fix or refactor you led, including the problem, your approach, and the measurable impact.
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