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Remote Github Software Engineer Jobs in London, ON

Micro1

Remote GitHub Contributor

Ingersoll, ON · Remote

GitHub Contributor $50 - $150/hourpay Required Skills Python3 JAVA Rust Algorithms Basics C ... Remote micro1 is engaging expert Senior Software Engineers to support a customer's innovative ...

Micro1

Remote GitHub Contributor

Lambton Shores, ON · Remote

GitHub Contributor $50 - $150/hourpay Required Skills Python3 JAVA Rust Algorithms Basics C ... Remote micro1 is engaging expert Senior Software Engineers to support a customer's innovative ...

Micro1

Remote GitHub Contributor

London, ON · Remote

GitHub Contributor $50 - $150/hourpay Required Skills Python3 JAVA Rust Algorithms Basics C ... Remote micro1 is engaging expert Senior Software Engineers to support a customer's innovative ...

Micro1

Remote GitHub Contributor

Stratford, ON · Remote

GitHub Contributor $50 - $150/hourpay Required Skills Python3 JAVA Rust Algorithms Basics C ... Remote micro1 is engaging expert Senior Software Engineers to support a customer's innovative ...

Micro1

Remote Senior Software Engineer

Ingersoll, ON · Remote

Senior Software Engineer Job Type: Contractor (~15 hrs a week) Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape ...

Micro1

Remote Senior Software Engineer

Stratford, ON · Remote

Senior Software Engineer Job Type: Contractor (~15 hrs a week) Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape ...

Cayenta

(Remote) Support Analyst

London, ON · Remote

We are seeking candidates with strong software proficiency and experience in HR and payroll ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

Parsons

Principal Highway Engineer - MTO

London, ON · On-site +1

CA$97K - CA$147K/yr

Advance knowledge of relevant software, such as AutoCAD, OpenRoads Designer, Microstation, and ... proven ability to manage remote or hybrid teams. This position is part of our Critical ...

Alimentiv

Statistician

London, ON · Remote

Carry out statistical analyses and provide direction to programmers, using standard software ... Work Abroad Program - enjoy up to 4 weeks per year of remote work outside your home region We may ...

All JobsGithub Software Engineer JobsRemote Github Software Engineer JobsRemote Github Software Engineer Jobs in London, ON

Remote Github Software Engineer information

How does a remote GitHub software engineer typically collaborate with team members across different time zones?

As a Remote Github Software Engineer, effective collaboration often relies on asynchronous communication tools like GitHub Issues, Pull Requests, and project boards. Regularly updating documentation, leaving detailed code reviews, and participating in scheduled virtual meetings help ensure everyone stays aligned despite time differences. Strong written communication skills are essential, as much of the collaboration happens through comments and documentation rather than real-time discussions. This setup fosters flexibility but also requires proactive communication to avoid misunderstandings and project delays.

What does a remote GitHub software engineer do?

A Remote Github Software Engineer is responsible for designing, developing, and maintaining software applications, typically using the GitHub platform for version control and collaboration. They work from a remote location, collaborating with team members through online tools and repositories. Their tasks often include writing code, reviewing pull requests, managing issues, and ensuring the quality and security of software projects. Effective communication and strong problem-solving skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote GitHub software engineer?

To thrive as a Remote Github Software Engineer, you need strong coding abilities (often in languages like Ruby, Go, or JavaScript), experience with version control systems, and a solid understanding of software development principles, typically backed by a relevant degree or significant professional experience. Familiarity with GitHub's ecosystem, CI/CD pipelines, cloud platforms, and tools like Docker or Kubernetes is crucial, along with knowledge of automated testing frameworks. Exceptional written communication, self-motivation, and collaboration skills are essential for effective teamwork and problem-solving in a remote environment. These skills and qualities ensure you can contribute high-quality code, coordinate with distributed teams, and deliver reliable software solutions efficiently.
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Remote Github Software Engineer jobs near you

Remote GitHub Contributor

Micro1

Ingersoll, ON • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

GitHub Contributor
$50 - $150/hourpay
Required Skills
Python3
JAVA
Rust
Algorithms
Basics C++
Typescript
bug fixing
feature implementation
codebase refactoring
performance optimization
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: GitHub Contributor


Role Type: Contractor (~15 hrs a week)

Location: Remote


micro1 is 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.

Apply