AI training contract
Open Source Contributor (GitHub)
Software Engineering · Advertised USD 100-150 an hour. · 100 openings
Open Source Contributor (GitHub) 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 100 to USD 150 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, and Yemen. That rule comes from micro1's own FAQ at www.micro1.ai/experts, read on 2026-09-18. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 100 openings on this role.
Skills named: Python3, JAVA, Rust, Basics C++, Typescript, GoLang.
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
Pay: $100–$150/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if needed We are looking for highly skilled Open-Source Software Engineers to contribute to an AI training project involving software development, repository exploration, debugging, system architecture, and code evaluation. The work involves creating, solving, reviewing, and validating challenging software-engineering tasks across front-end and back-end systems and helping with translating full coding builds from one particular language into another. We are particularly interested in engineers who own or maintain open-source repositories or have made meaningful contributions to established projects. Contributions should demonstrate real engineering ability, not only documentation updates, dependency bumps, formatting changes, or minor typo corrections. Candidates should be prepared to discuss specific repositories, pull requests, issues, and code they personally authored. What You’ll Work On Explore and understand unfamiliar software repositories. Implement, modify, and debug front-end and back-end components. Trace data and execution across interfaces, services, libraries, APIs, databases, and external dependencies. Reproduce software issues and identify their underlying causes. Implement solutions that fit an existing project’s architecture and contribution standards. Write unit, integration, regression, and end-to-end tests. Review AI-generated patches for correctness, completeness, security, and maintainability. Required Qualifications A public or otherwise verifiable GitHub profile . Meaningful ownership of or contributions to one or more open-source repositories. Strong software-engineering experience across front-end, back-end, full-stack, systems, developer tooling, infrastructure, or another substantial technical area. Experience with multiple programming languages. Ability to understand and modify unfamiliar codebases. Relevant languages may include TypeScript, JavaScript, Python, Java, Go, Rust, C++, C#, Ruby, PHP , or other languages used in substantial open-source projects. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum number of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first tasks within 24–48 hours of completing onboarding.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.