We are looking for GitHub Contributor candidates for a project delivered through micro1.

What you'll do

Create Reinforcement Learning Environments which test an AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance.
Create a reproducible environment and golden reference solution for the problem.
Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices.
Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
Review and validate peer-contributed code and technical submissions for accuracy and clarity.

What you need

Clear open source contributions and profiles to showcase it like GitHub or GitLab.

Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
Deep understanding of algorithms, data structures, and software engineering principles.
Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
Experience with large codebase refactoring and legacy system modernization.
Track record of delivering high-impact features from conception through delivery within cross-functional projects.
Strong documentation and communication skills to articulate technical concepts clearly.
Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

RequiredAlso useful

Also listed: communication.

Project and contracting process: micro1. Applications continue on the provider's website.