Remote GitHub Contributor — Code, Debug & Modernize

YO AI Labs; Maryland; Remote; USD 65,000 - 100,000; Part time

Job summary

YO AI Labs is seeking a GitHub Contributor to deliver expert-level code samples across Python, Java, Rust, Go, C++, or TypeScript. This remote, contract role focuses on analyzing defects, optimizing features, and sharing clear implementation insights to accelerate AI training data quality.

You will review peer submissions, document reasoning, and contribute to cross-functional projects with a focus on scalable, maintainable code.

Qualifications

• 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.

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 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.

Skills

Python3

Java

Rust

Go

C++

TypeScript

Job description

YO AI Labs is seeking a GitHub Contributor to deliver expert-level code samples across Python, Java, Rust, Go, C++, or TypeScript. This remote, contract role focuses on analyzing defects, optimizing features, and sharing clear implementation insights to accelerate AI training data quality.

You will review peer submissions, document reasoning, and contribute to cross-functional projects with a focus on scalable, maintainable code.