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Github Software Engineer Intern Jobs in Toronto, ON

Micro1

Remote GitHub Contributor

Pickering, 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

Hamilton, 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

Uxbridge, 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

East York, 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

Burlington, 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 ...

Fitch Solutions

Software Engineer

Toronto, ON · Hybrid

Fitch Group is currently seeking a Software Engineer based out of our Toronto office. As a leading ... Experience with AI-assisted development tools (GitHub Copilot, Microsoft Copilot) and their ...

TOPOLIO

Software Engineer, CTO

Toronto, ON

We are looking for a talented full stack software engineer to build SaaS application. You are an ... Github experience Preferably living in or near the Toronto area to allow collaboration in person ...

Scotiabank

Software Engineer

Scarborough, ON · Hybrid

About the Role We're looking for an Software Engineer to join our Automotive Finance Engineering ... Leverage productivity tools such as GitHub Copilot or AI assisted development workflows where ...

Scotiabank

Software Engineer

Toronto, ON · On-site +1

We're looking for an Software Engineer to join our Automotive Finance Engineering team. You will ... Leverage productivity tools such as GitHub Copilot or AIassisted development workflows where ...

TOPOLIO

Software Engineer, CTO (Remote)

Toronto, ON · Remote

We are looking for a talented full stack software engineer to build SaaS application. You are an ... Github experience Preferably living in or near the Toronto area to allow collaboration in person ...

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Github Software Engineer Intern information

What does a GitHub Software Engineer Intern do?

A GitHub Software Engineer Intern works alongside experienced engineers to help develop, test, and maintain software products and features on the GitHub platform. Interns are typically involved in writing code, fixing bugs, participating in code reviews, and collaborating on open source projects. They gain practical experience with industry-standard tools and workflows, while learning about large-scale software development. The internship offers an opportunity to contribute to real-world projects and learn from talented mentors.

What types of projects and technologies do GitHub Software Engineer Interns typically work on during their internship?

As a Github Software Engineer Intern, you’ll often have the opportunity to contribute to real-world projects that directly impact Github’s platform and user experience. Interns may work on backend services, frontend features, or infrastructure improvements, using technologies like Ruby on Rails, React, and cloud services. You’ll collaborate closely with full-time engineers, participate in code reviews, and attend regular team meetings, ensuring you’re integrated into the development process. This hands-on experience not only strengthens your technical skills but also provides valuable insight into how large-scale software products are built and maintained.

What is the difference between Github Software Engineer Intern vs Github Software Engineer?

AspectGithub Software Engineer InternGithub Software Engineer
Required CredentialsTypically pursuing a bachelor's or master's degree in CS or related fieldBachelor's degree in CS or related field; often requires 1-3 years of professional experience
Work EnvironmentInternship programs, often part-time or summer roles, in tech companies or open-source projectsFull-time employment in tech companies, startups, or open-source organizations
Employer & Industry UsageUsed by companies for internship programs; common in tech and software development industriesFull-time role in similar industries, focusing on software development, cloud services, and open-source contributions

The main difference between Github Software Engineer Intern and Github Software Engineer is experience level and employment status. Interns are typically students gaining practical experience, while engineers are full-time professionals responsible for ongoing development and project management.

What are the key skills and qualifications needed to thrive as a GitHub Software Engineer Intern?

To thrive as a GitHub Software Engineer Intern, you typically need strong programming skills (especially in languages like JavaScript, Python, or Ruby), foundational knowledge of computer science concepts, and progress toward a relevant degree such as computer science or software engineering. Familiarity with Git, GitHub, collaborative coding platforms, and experience using development tools and version control systems are highly valued. Initiative, effective communication, and a willingness to learn set standout interns apart. These skills and qualities enable interns to contribute effectively to real-world projects, collaborate with teams, and rapidly adapt to new challenges in a fast-paced development environment.
What are the most commonly searched types of Github Software Engineer jobs in Toronto, ON? The most popular types of Github Software Engineer jobs in Toronto, ON are:
What are popular job titles related to Github Software Engineer Intern jobs in Toronto, ON? For Github Software Engineer Intern jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Github Software Engineer Intern jobs in Toronto, ON look for? The top searched job categories for Github Software Engineer Intern jobs in Toronto, ON are:
Github Software Engineer Intern jobs near you
Infographic showing various Github Software Engineer Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Remote GitHub Contributor

Micro1

Pickering, 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