Open Source Contributor

RemoteJobsOne; Jacksonville (FL); Remote; USD 138,000 - 207,000; Part time

Job summary

RemoteJobsOne is seeking highly skilled Open-Source Software Engineers for a fully remote, contractor role. You will contribute to an AI training project, exploring unfamiliar repositories and producing robust code across front-end and back-end systems.

We value engineers with verifiable open-source contributions, a GitHub footprint, and the ability to discuss personal repositories, pull requests, and issues. Flexible scheduling and weekly hours around 15 are offered.

Qualifications

• Public GitHub profile or verifiable ownership of open-source projects.
• Experience across frontend and backend or full-stack development.
• Ability to understand and modify unfamiliar codebases.
• Contributions demonstrating engineering ability beyond minor changes.

Responsibilities

• Explore unfamiliar repositories and understand their structure.
• Implement, modify, and debug frontend and backend components.
• Trace data flow across interfaces and services.
• Write unit, integration, and end-to-end tests.

Skills

Open-source ownership

Full-stack experience

Multiple languages

GitHub profile

Code review

Tools

GitHub

Job description

IMPORTANT: after you apply, please check your email. We sendyou a link to complete your application — it is not considered until that laststep is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $100–$150/hr

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.

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.