Remote Open-Source Engineer for AI Training Projects

Remotebridge; United States; Remote; USD 138,000 - 207,000; Part time

Job summary

Remotebridge is seeking highly skilled Open-Source Software Engineers to contribute to an AI training project. You will work on software development, repository exploration, debugging, system architecture, and coding task evaluation across front‑end and back‑end systems.

The role is fully remote, global, contractor-based (~15 hours per week) with flexible scheduling. You will discuss specific repositories and code you authored, and be paid per completed task according to the project’s outputs.

Qualifications

• Public or verifiable GitHub profile.
• Meaningful ownership of or contributions to one or more open-source repositories.
• Strong software-engineering experience across frontend, backend, full-stack, systems, developer tooling, infrastructure, or another substantial technical area.
• Experience with multiple programming languages.
• Ability to understand and modify unfamiliar codebases.

Responsibilities

• 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.

Skills

GitHub profile

Open-source ownership

Full-stack development

Multi-language experience

Job description

Remotebridge is seeking highly skilled Open-Source Software Engineers to contribute to an AI training project. You will work on software development, repository exploration, debugging, system architecture, and coding task evaluation across front‑end and back‑end systems.

The role is fully remote, global, contractor-based (~15 hours per week) with flexible scheduling. You will discuss specific repositories and code you authored, and be paid per completed task according to the project’s outputs.