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Open Source GitHub Maintainer

micro1 · 100% remote · Contract · Posted

Pay
$150–300/hr
Location
Worldwide
Languages
English
Hours
15 hours per week; flexible schedule
Openings
10
Level
Expert
Apply for this position

Summary

Assess AI-generated code patches for open source repositories you maintain. Provide written reasons and peer reviews. Work requires visible open source contributions and weekly task submissions.

What you'll do

  • Evaluate AI-generated code patches.
  • Provide detailed feedback and written reasons for assessments.
  • Review work submitted by other experts.
  • Meet minimum weekly task submission requirements.
  • Start initial tasks within 24–48 hours after onboarding if selected.

Requirements

  • Senior software engineering expertise.
  • Clear open source contributions shown through GitHub, GitLab, or similar profiles.
  • Open source repository maintenance experience preferred.
  • Experience reviewing contributor code preferred.
  • Availability for consistent activity.
  • No prior AI experience required.

Skills

  • GitHub
  • C++
  • Java
  • TypeScript
  • Rust
  • GoLang
  • Python
  • C

Full description

Role Title: Open source GitHub maintainer


Role Type: Contractor (15 hrs a week)

Location: Remote, Open Globally

Schedule: Flexible, any hours/days of the week. As long as there is constant activity.


micro1 is engaging expert Senior Software Engineers to support a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


As a subject-matter expert, you'll review code patches generated by an LLM for the repository (or repositories) you maintain, and provide your professional assessment of each one.


Applicants must have clear open source contributions and profiles to showcase it like GitHub or GitLab.


Scope of Work

  1. Evaluate code patches generated by LLMs and offer detailed feedback on each one
  2. Provide written justification to support your assessments
  3. Conduct peer reviews of work submitted by other subject-matter experts


Preferred Qualifications

  1. Experience maintaining an open source repository.
  2. Experience reviewing code from contributors


Process:

  1. Apply to the role, filling out the screening questions
  2. Complete AI interview (aprox. 10 minutes)
  3. Hiring Manager review



Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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