> Markdown version of [/jobs/ext/3846771-open-source-contributor-remote](https://www.wearedevelopers.com/jobs/ext/3846771-open-source-contributor-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Open Source Contributor - Remote - **Company:** Yo Labs Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Contract - **Skills:** Java (Programming Language), Artificial Intelligence, Automation of Tests, Software Bug Management, C++ (Programming Language), Code Review, Computer Programming, Data Structures, Software Debugging, Github, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, TypeScript, Rust (Programming Language), Backend, Free and Open-Source Software, Codebase, Code Restructuring, Golang - **Published:** October 20, 2026 - **Apply:** https://www.careerjet.com/jobad/usdbbb58825e7ccdd313374fb7316d4359 ## About the Role We are seeking experienced Software Engineers to create coding challenges that help train AI models in debugging, feature implementation, code refactoring, and performance optimization. Prior AI experience is not required., * Python 3, Java, Rust, C++, Go, or TypeScript * Algorithms and Data Structures * GitHub and Open-Source Contributions * Bug Fixing and Feature Implementation * Codebase Refactoring and Performance Optimization * Logical Thinking and Problem-Solving, * Strong programming and backend development experience. * Knowledge of algorithms, data structures, and automated testing. * Proven debugging and optimization skills. * GitHub portfolio or willingness to complete a technical assessment. ## Description * Develop coding challenges and reference solutions. * Debug software issues and implement new features. * Refactor code and optimize performance. * Build testing environments and validate solutions. * Document technical decisions and review code quality., Application, approximately 20-minute AI interview, technical assessment if required, and hiring manager review. Compensation & Availability Output-based payment. Candidates should be ready to start within 24-48 hours of onboarding. Weekly task submission requirements apply.