WFH.teamOpen app$208k-$312k
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flexible
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What this posting tells you
Global remote contractor role contributing to an AI training project through open-source repository exploration, implementation, debugging, testing, and code review. The listing states approximately 15 hours per week and a flexible schedule. It advertises pay of $100–$150 per hour but also describes compensation as output-based, paid per task, with variable task completion time and minimum weekly submission requirements; therefore, no salary amount is reported.
Backend, Customer success, Data, DevOps, Frontend, Medical billing, Operations, Product, Security, Software, Writing and content
Eligible countries are not stated.
Global
Unspecified · Contractor
- Eligible hiring countries are not stated
Backend hiring on WFH.team
This role's listed pay is above the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketOpen Source Contributor (GitHub) at 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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.