Open-Source Software Engineer for AI Training

Role Overview

Contribute real-world software engineering expertise to AI training work by creating, solving, reviewing, and validating challenging engineering tasks across front-end and back-end systems. You will explore repositories, debug issues, evaluate code, and help translate complete coding builds between programming languages.

Key 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 defects and identify root causes.
• Deliver solutions that align with 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.

Qualifications

• Public or otherwise verifiable GitHub profile.
• Meaningful ownership of, or contributions to, one or more open-source repositories. Contributions must demonstrate substantive engineering work, rather than only documentation edits, dependency updates, formatting changes, or minor typo fixes.
• Ability to discuss repositories, pull requests, issues, and code you personally authored.
• Strong experience in front-end, back-end, full-stack, systems, developer tooling, infrastructure, or another substantial technical area.
• Experience with multiple programming languages and the ability to understand and modify unfamiliar codebases.
• Relevant languages may include Python, Java, Rust, C++, TypeScript, JavaScript, Go, C#, Ruby, PHP, or other languages used in substantial open-source projects.

Work Terms

• Independent contractor role, fully remote and open globally.
• Approximately 15 hours per week.
• Flexible schedule, choose your work hours and days, including weekends if needed.
• Minimum weekly task-submission requirements apply.
• Selected candidates are generally expected to begin their first tasks within 24 to 48 hours after completing the required onboarding steps.

Compensation

• $100 to $150 per hour.
• Compensation is output-based and paid per task that meets project specifications.
• Time required per task varies based on experience and workflow.

Application Process

• Submit an application and complete screening questions.
• Complete an AI interview of approximately 30 minutes.
• Proceed through hiring manager review.