Remote | Open Source GitHub Maintainer — $150–$300/hour
About The Position
24-MAG LLC is recruiting experienced open-source GitHub maintainers and senior software engineers for a fully remote, independent contractor consulting engagement. Contributors review AI-generated code patches for repositories they maintain or actively contribute to, assess technical correctness and quality, provide detailed written justifications, and participate in peer review with other subject-matter experts. Relevant languages include C++, Java, TypeScript, Rust, Go, Python, and C. Prior AI experience is not required. The engagement is expected to require approximately 15 hours per week, with a flexible schedule across any hours or days as long as consistent activity is maintained. Compensation is displayed as $150–$300 per hour, but the actual payment structure is output-based, with payment per task that meets project specifications. Time per task may vary, and minimum weekly submission requirements apply; the exact number of required tasks is not specified. Selection may include an approximately 10-minute AI interview followed by hiring-manager review. Roles are typically filled within approximately 48 hours, and selected contributors should be ready to begin initial tasks within approximately 24–48 hours after onboarding. Work must not use confidential or proprietary information belonging to an employer, client, organization, institution, or other third party.
Requirements
- Strong experience maintaining or substantially contributing to open-source repositories.
- Publicly visible open-source contribution history through GitHub, GitLab, or comparable platforms.
- Experience reviewing code submitted by external contributors.
- Senior-level software-engineering judgment.
- Strong proficiency in one or more of C++, Java, TypeScript, Rust, Go, Python, or C.
- Ability to understand unfamiliar code within established repository structures.
- Strong code-review and defect-identification skills.
- Experience assessing maintainability, architecture, and implementation quality.
- Ability to provide precise and defensible written technical feedback.
- Comfort evaluating code produced by automated or AI-assisted systems.
- Strong attention to technical detail.
- Ability to work independently in a flexible remote environment.
- Ability to complete work without using confidential or proprietary information belonging to any third party.
Nice To Haves
- Professional open-source repository maintenance experience is particularly valuable.
- No prior AI-training or model-evaluation experience is required.
Responsibilities
- Evaluate AI-generated code patches for repositories maintained by the contributor, assessing correctness, completeness, maintainability, and technical quality.
- Identify regressions, implementation errors, inappropriate changes, and deviations from repository expectations.
- Assess proposed changes in the context of repository architecture, conventions, established patterns, interfaces, and downstream effects.
- Review implementations across relevant programming languages and technical stacks for structure, readability, efficiency, maintainability, defects, edge cases, and completeness.
- Recommend improvements when submitted patches do not meet project standards.
- Provide detailed, precise written justifications explaining whether patches should be accepted, revised, or rejected.
- Conduct peer reviews of other subject-matter experts’ evaluations and assess their technical soundness and supporting rationale.
- Identify inconsistencies among reviewer assessments and contribute to consistent quality standards and collaborative calibration.
- Work independently and asynchronously while maintaining consistent activity and meeting minimum weekly submission requirements.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Senior
Education Level
No Education Listed
