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GitHub Contributor – Remote

October 6, 2026

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $50–$100/hr

Role Title: GitHub Contributor

Role Type: Contractor (~15 hrs a week)

Location: Remote

We are engaging expert Senior Software Engineers to support a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

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.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.

Remote

Skills:
Algorithms, Analysis Skills, Artificial Intelligence (AI), Best Practices, Bug Tracking Software, C++ Programming Language, Communication Skills, Cross-Functional, Customer Service Software, Data Quality, Data Structures, Debugging Skills, Documentation, GitHub, Go Programming Language (Golang), Identify Issues, Java, Open Source, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, Refactoring, Reinforcement Learning, Rust Programming Language, Software Engineering, Technical Analysis, Technical Support, Technical Writing, Testing, Training/Teaching

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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