Software Engineer – Open Source (Remote | $100–$150/hr)

About the Opportunity

We are seeking experienced Open-Source Software Engineers to contribute to an AI training project focused on software development, repository exploration, debugging, system architecture, and code evaluation.

The role involves working with real-world software repositories, solving complex engineering tasks, reviewing AI-generated code, and contributing practical software-engineering expertise to improve AI systems.

Responsibilities

• Explore and understand unfamiliar software repositories.
• Develop, modify, debug, and test front-end and back-end components.
• Trace data and execution across APIs, services, libraries, databases, and dependencies.
• Reproduce issues and identify root causes.
• Implement solutions aligned with existing architecture and coding standards.
• Write unit, integration, regression, and end-to-end tests.
• Review AI-generated code for correctness, security, completeness, and maintainability.
• Translate software implementations between programming languages when required.

Required Qualifications

• Public or verifiable GitHub profile with meaningful open-source contributions.
• Strong professional software-engineering experience.
• Experience working with multiple programming languages.
• Ability to understand, modify, and debug unfamiliar codebases.
• Demonstrated contributions through substantial repositories, pull requests, issues, or personally authored code.

Preferred Qualifications

• Proficiency in Python, Java, Rust, C++, TypeScript, Go, JavaScript, C#, Ruby, or PHP.
• Experience maintaining or contributing to established open-source projects.
• Background in software architecture, code review, debugging, or AI-generated code evaluation.

Compensation & Engagement

Compensation: $100–$150/hour

Engagement Type: Contractor

Work Arrangement: Fully remote

Location: Global

Expected Commitment: Approximately 15 hours/week

Schedule: Flexible

Compensation Model: Output-based, with minimum weekly submission requirements

Application Process

• Submit your application with your resume and a public or verifiable GitHub profile.
• Provide details of meaningful open-source repositories, pull requests, issues, or code contributions you have personally authored.
• Complete the role-specific screening questions.
• Complete an approximately 30-minute AI interview.
• Complete the hiring manager review.
• Complete onboarding and project-specific instructions if selected.
• Begin contributing to software-engineering tasks, repository analysis, debugging, testing, and AI-generated code evaluation.