GitHub Contributor

RemoteJobsOne; Manila; Remote; PHP 4,313,000 - 8,626,000; Part time

Job summary

RemoteJobsOne is seeking an expert GitHub Contributor for a fully remote contractor role based in the Philippines. You will contribute code samples across languages (Python, Java, C++, Rust, Go, TypeScript) and help train AI systems by generating robust, reproducible environments and high-quality input data.

Applicants must have visible open source contributions on GitHub or GitLab. This part-time role (~15 hrs/week) offers $50–$100 per hour and requires strong debugging, refactoring, and

Qualifications

• Must have clear open source contributions with profiles on GitHub or GitLab.
• Expert-level knowledge in Python, Java, Rust, Go, C++, or TypeScript.
• Ability to debug, refactor, and optimize performance on large codebases.
• Strong documentation and communication skills.

Responsibilities

• Contribute expert-level code samples and debugging strategies in Python3, Java, Rust, Go, C++, or TypeScript.
• Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks.
• Implement robust new features with focus on scalability and maintainability.
• Refactor legacy code to improve clarity and long-term reliability.
• Document technical reasoning and code decisions to aid AI training data quality.
• Review and validate peer-contributed code for accuracy and clarity.

Skills

Python

Java

C++

Rust

Go

TypeScript

Tools

GitHub

GitLab

Code review

Job description

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 Philippines.

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

1. Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript.
2. Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases.
3. Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices.
4. Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability.
5. Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality.
6. Review and validate peer-contributed code and technical submissions for accuracy and clarity.

Preferred Qualifications

1. Significant hands‑on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript.
2. Deep understanding of algorithms, data structures, and software engineering principles.
3. Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations.
4. Experience with large codebase refactoring and legacy system modernization.
5. Track record of delivering high‑impact features from conception through delivery within cross‑functional projects.
6. Strong documentation and communication skills to articulate technical concepts clearly.
7. Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

Process

1. Apply to the role, filling out the screening questions
2. Complete AI interview (aprox. 30 minutes)
3. Technical Assessment (Tentative)
4. 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.