GitHub Contributor

RemoteJobsOne; Singapore; Remote; SGD 88,000 - 176,000; Part time

Job summary

RemoteJobsOne is seeking expert Senior Software Engineers for a fully remote role based in Singapore. You will contribute to AI training data by delivering high-quality code samples and reproducible environments.

As an expert, you will showcase open source contributions on GitHub or GitLab and work across languages such as Python, Java, Rust, Go, C++, or TypeScript to fix, refactor, and optimize complex systems while documenting decisions to enhance training data quality.

Qualifications

• Clear open source contributions with public profiles on GitHub or GitLab.
• Experience in Python3, Java, Rust, Go, C++, or TypeScript preferred.
• Contractor role requiring ~15 hours per week, fully remote based in Singapore.

Responsibilities

• Contribute expert-level code samples and debugging strategies in listed languages.
• Analyze, troubleshoot, and resolve defects and performance bottlenecks.
• Implement robust features with emphasis on scalability and maintainability.
• Refactor and optimize legacy code for clarity and reliability.
• Document technical reasoning and code decisions to improve AI training data quality.
• Review peer-contributed code for accuracy and clarity.

Skills

Python3

Java

Rust

Go

C++

TypeScript

Tools

GitHub

GitLab

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 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

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. Complete AI interview (aprox. 30 minutes)
2. Technical Assessment (Tentative)
3. 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.