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Job description
Role Overview
Contribute your open-source engineering expertise to AI training work that tests and improves software development capabilities. You will create, solve, review, and validate challenging engineering tasks across front-end and back-end systems, including translating complete code builds between programming languages.
Key Responsibilities
Explore and quickly understand unfamiliar software repositories.
Implement, modify, and debug front-end and back-end components.
Trace data flow and execution across interfaces, services, libraries, APIs, databases, and external dependencies.
Reproduce software issues, determine root causes, and implement fixes that follow the project architecture and contribution standards.
Write unit, integration, regression, and end-to-end tests.
Create, solve, review, and validate software-engineering tasks.
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, not 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 working in multiple programming languages and modifying unfamiliar codebases.
Relevant languages include TypeScript, JavaScript, Python, Java, Go, Rust, C++, C#, Ruby, PHP, and other languages used in substantial open-source projects. Python 3, Java, Rust fundamentals, C++, TypeScript, and Go are particularly relevant.
Work Terms
Global, fully remote independent contractor engagement.
Approximately 15 hours per week.
Flexible schedule, with control over work hours and days, including weekends if needed.
Roles are typically filled within 48 hours. Selected candidates should be ready to begin immediately and complete their first tasks within 24 to 48 hours after onboarding.
Apply by completing the role application and screening questions, followed by an approximately 30-minute AI interview and hiring-manager review.
Compensation
Advertised rate: $100 to $150 per hour.
Compensation is output-based and paid per task that meets project specifications. Task completion time varies by experience and workflow.
Minimum weekly task-submission requirements apply.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.