Software Engineer - Remote at YO AI Labs
Job details
Use AI to assess how you fit
About this role
Software Engineer (GitHub Contributor) Role Type: Contractor Location: Remote – Worldwide Job Description We are seeking experienced Software Engineers to contribute to an AI training project focused on code generation, debugging, feature implementation, refactoring, and performance optimization. You'll create realistic coding challenges and reliable test environments to help train next-generation AI systems. Prior AI experience is not required. Required Skills
Python 3, Java, Rust, C++, or TypeScript
Algorithms and Data Structures
GitHub and Open-Source Contributions
Bug Fixing and Feature Implementation
Codebase Refactoring
Performance Optimization
Logical and Analytical Thinking
Automated Testing and Debugging
Scope of Work
Develop realistic coding challenges for AI models.
Debug complex software issues and fix defects.
Implement and test new features.
Refactor and optimize existing codebases.
Build reproducible reinforcement learning environments with deterministic verifiers.
Provide reference solutions and document technical reasoning.
Review code submissions for accuracy, quality, and maintainability.
Qualifications
Strong programming experience in at least one supported language.
Experience with backend development, APIs, and scalable software systems.
Solid understanding of algorithms, data structures, and software engineering principles.
Proven ability to troubleshoot bugs and improve performance.
A GitHub profile showcasing relevant open-source contributions, or willingness to complete a technical assessment.
Strong analytical, problem-solving, and communication skills.
Selection Process
Submit your application and screening responses.
Complete an AI interview of approximately 20 minutes.
Complete a technical assessment if required.
Undergo hiring manager review.
Start Timeline Selected candidates should be ready to begin within 24–48 hours of completing onboarding. Availability and weekly task submission requirements apply. Compensation Payment is output-based and depends on completed tasks meeting project specifications. Originally posted on Himalayas