Role Title: GitHub Contributor
Role Type: Contract (~15 hrs a week)
Location: Remote
As an expert you will be creating Reinforcement Learning Environments which test and AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.
Applicants must have clear open source contributions and profiles to showcase it like GitHub or GitLab. (Preferably with C++, Python, JAVA, GoLang, Typescript, or Rust)
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.
Preferred Qualifications
Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
Deep understanding of algorithms, data structures, and software engineering principles.
Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
Experience with large codebase refactoring and legacy system modernization.
Track record of delivering high-impact features from conception through delivery within cross-functional projects.
Strong documentation and communication skills to articulate technical concepts clearly.
Interest in or curiosity about AI and its technical challenges (previous AI experience not required).
Process:
Apply to the role, filling out the screening questions
Complete AI interview (aprox. 30 minutes)
Technical Assessment (Tentative)
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.
Skills Required
- Clear open-source contributions and a GitHub or GitLab profile showcasing work
- Expert-level coding ability in at least one of Python 3, Java, Rust, Go, C++, or TypeScript
- Strong understanding of algorithms, data structures, and software engineering principles
- Ability to debug complex systems, resolve software defects, and optimize performance
- Experience refactoring large codebases and modernizing legacy systems
- Experience delivering high-impact features through cross-functional projects
- Strong technical documentation and communication skills
- Interest in or curiosity about AI and its technical challenges
- Availability to complete at least the minimum required weekly task submissions
- Availability to begin tasks within 24–48 hours after onboarding
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