Remote GitHub Contributor - Code, Debug & AI Docs

YO AI Labs; San Francisco (CA); Remote; USD 83,000 - 152,000; Full time

Job summary

YO AI Labs is seeking a GitHub Contributor on a remote contract basis. You will provide expert coding samples, debugging insights, and strategic input across Python, Java, Rust, Go, C++, or TypeScript. The role emphasizes resolving defects, optimizing performance, and contributing to scalable features.

Documentation of decisions will support AI training data quality. The ideal candidate will have hands-on experience in at least one listed language, deep CS fundamentals, and a track record of

Qualifications

• Hands-on expertise in at least one listed language (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 optimizations.
• Experience with large codebase refactoring and legacy modernization.
• Track record of delivering high-impact features from conception to delivery in cross-functional projects.
• Strong documentation and communication skills to articulate technical concepts clearly.
• Interest in AI and its technical challenges (previous AI experience not required).

Responsibilities

• 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 across codebases.
• Implement robust new features with a focus on scalability, maintainability, and best practices.
• Refactor and optimize legacy code to improve clarity and long-term reliability.
• Document technical reasoning, approaches, and decisions to enhance AI training data quality.
• Review and validate peer-contributed code and submissions for accuracy and clarity.

Skills

Python3

Java

Rust

Go

C++

TypeScript

Job description

YO AI Labs is seeking a GitHub Contributor on a remote contract basis. You will provide expert coding samples, debugging insights, and strategic input across Python, Java, Rust, Go, C++, or TypeScript. The role emphasizes resolving defects, optimizing performance, and contributing to scalable features.

Documentation of decisions will support AI training data quality. The ideal candidate will have hands-on experience in at least one listed language, deep CS fundamentals, and a track record of