Software Engineer (GitHub Contributor)
Software Engineer (GitHub Contributor) This role is for a contractor who will work remotely from anywhere in the world. The pay is between $50–100 per hour, and the time per task is approximately 15 hours per run. Once selected, Talent Ops will provide all necessary onboarding materials. Candidates should have clear open source contributions, preferably on GitHub showcasing skills in C++, Python, Java, Go, TypeScript, or Rust. If this is not available, a HackerRank assessment will be conducted instead. Your tasks involve building reproducible Reinforcement Learning Environments to test an AI model's ability to fix code, add features, refactor, and optimize performance, including a golden reference solution for each problem. Experts who complete the AI interview for this role will progress faster through the process. The interview and assessment stages focus on human judgment and problem-solving abilities, without the use of AI assistants or external help.
Job Description:
In this role, you will help train next-generation AI systems by providing high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters. You will create realistic, interesting, and challenging coding tasks for AI to solve, involving feature implementation and bug fixes, and implement deterministic verifiers.
What we're looking for:
- Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
- A track record building scalable services and APIsComfort with debugging, performance work, and automated testing
- Solid code review instincts
Preferred Qualifications:
- Proven experience in backend development, with a track record of delivering high-quality and performant projects.
- Demonstrated success in identifying and resolving software bugs and system bottlenecks.
- Experience with codebase refactoring and implementing complex features in large-scale applications.
- Strong understanding of algorithms, data structures, and foundational computer science concepts.
- Excellent analytical, problem-solving, and technical communication skills.
- Scope of Work:
- Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
- Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
- Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices.
- Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
- Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
- Review and validate peer-contributed code and technical submissions for accuracy and clarity.
Process:
Apply to the role, filling out the screening questions
Complete AI interview (approx. 20 minutes)
Technical Assessment (if your GitHub profile doesn't fully showcase the expertise required for this role)
Hiring Manager review
Compensation Structure: Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert's experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability: We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.