Job Description:
Open Source Contributor (GitHub)
$100 - $150/hour
pay
Required Skills
Python3
JAVA
Rust
Basics C++
Typescript
GoLang
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.