AI training contract
Open Source GitHub Maintainer
Software Engineering · Advertised USD 150-300 an hour. · 10 openings
Open Source GitHub Maintainer is contract work for micro1, reviewing and correcting what AI models produce in software engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. micro1 advertises USD 150 to USD 300 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. The listing says this role is global and fully remote. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. That rule comes from micro1's own FAQ at www.micro1.ai/experts, read on 2026-10-05. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 10 openings on this role.
Skills named: GitHub, C++, JAVA, Typescript, Rust, GoLang, Python, C.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
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 an 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 Evaluate code patches generated by LLMs and offer detailed feedback on each one Provide written justification to support your assessments Conduct peer reviews of work submitted by other subject-matter experts Preferred Qualifications Experience maintaining an open source repository. Experience reviewing code from contributors Process: Apply to the role, filling out the screening questions Complete AI interview (aprox. 10 minutes) 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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Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.