Open Source GitHub Maintainer - Remote

YO AI Labs; New York (NY); Remote; USD 83,000 - 138,000; Full time

Job summary

YO AI Labs seeks an experienced Open Source GitHub Maintainer to review AI-generated code patches for a customer project. You will assess patch quality, correctness, and maintainability while delivering detailed feedback.

Applicants must have a public open-source profile (GitHub/GitLab) and demonstrable experience reviewing contributions. This is a remote, contractor role with flexible scheduling.

Qualifications

• Open-source maintainer with public contributions
• Experience reviewing patches and providing feedback
• Strong code-review and communication skills

Responsibilities

• Evaluate patches from AI-generated code for open-source repos
• Assess correctness, quality, maintainability, and alignment with project requirements
• Provide detailed written feedback and justification for assessments
• Conduct peer reviews of others' work and adhere to project standards
• Apply open-source development experience to evaluate AI contributions
• Complete tasks according to project quality standards

Skills

GitHub

C++

Java

TypeScript

Rust

Go / Golang

Python

C

Job description

Open Source GitHub Maintainer

Role Type: Contractor - 15 hours/week
Location: Remote, Open Globally
Schedule: Flexible

Required Skills

• GitHub
• C++
• Java
• TypeScript
• Rust
• Go / Golang
• Python
• C

Job Summary

We are engaging experienced Open Source GitHub Maintainers to support a customer project focused on reviewing and evaluating AI-generated code. In this role, you'll apply your software engineering and open-source experience to review code patches generated by large language models (LLMs) and provide professional assessments and detailed feedback.

Applicants must have clear open-source contributions and a public profile, such as GitHub or GitLab, that demonstrates their experience.

Responsibilities

• Evaluate code patches generated by LLMs for open-source repositories.
• Review code for correctness, quality, maintainability, and alignment with project requirements.
• Provide detailed written feedback and justification for each assessment.
• Conduct peer reviews of work submitted by other subject-matter experts.
• Apply practical open-source development and code-review experience to evaluate AI-generated contributions.
• Complete assigned tasks according to project quality standards and requirements.

Preferred Qualifications

• Experience maintaining or contributing to open-source repositories.
• Proven experience reviewing code submitted by other contributors.
• Strong software engineering experience in one or more required programming languages.
• Active GitHub, GitLab, or similar public profile demonstrating open-source contributions.
• Strong written communication and technical review skills.
• Ability to work independently in a remote environment.

Selection Process

1. Submit an application and complete the screening questions.
2. Complete an AI interview of approximately 10 minutes.
3. Hiring Manager review.

Compensation

Compensation is output-based, with experts paid per task that meets project specifications. The time required may vary depending on experience and workflow. Minimum weekly submission requirements apply.

Start Timeline

Selected candidates are expected to begin their first tasks within 24-48 hours after completing onboarding.