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Remote Computer Engineering Jobs in Toronto, ON (NOW HIRING)

YO AI Labs

RL Environment Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

YO AI Labs

Software Engineer - Remote

Toronto, ON · Remote

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... Work on challenging software engineering tasks across backend, full-stack, infrastructure, and ...

YO AI Labs

AI/ML Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

Clio

Manager, Machine Learning Engineering

Toronto, ON · Remote

CA$181K - CA$272K/yr

... Remote This role is a backfill for an existing position. What you will find here: Compensation is ... 360 to $272,040 CAD. Initial placement within the range is informed by geographic region ...

Caseware

DevOps Developer

Toronto, ON · On-site +1

CA$125K - CA$140K/yr

This is a remote location open to candidates legally authorized to work in Canada. What you will be ... Partner with engineering teams on service hardening including observability, resilience, scaling ...

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Showing results 41-60

All JobsComputer Engineering JobsRemote Computer Engineering JobsRemote Computer Engineering Jobs in Toronto, ON

Remote Computer Engineering information

See Toronto, ON salary details

$24.3K

$91.3K

$176.6K

How much do remote computer engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote computer engineering in Toronto, ON is $91,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,285.00 and $128,358.00 per year, depending on experience, location, and employer.

What is remote computer engineering?

Remote computer engineering refers to the practice of working as a computer engineer from a location outside of a traditional office, often from home or another remote setting. Remote computer engineers design, develop, test, and maintain computer hardware and software systems, collaborating with teams using digital communication tools. This role requires strong technical skills, self-motivation, and the ability to manage projects independently while staying connected with colleagues virtually. Remote positions are popular in the tech industry due to their flexibility and access to a global talent pool.

How do remote computer engineers typically collaborate with team members across different time zones?

Remote computer engineers often work with colleagues located in various parts of the world, which requires effective communication and collaboration tools. Teams usually rely on project management platforms, version control systems, and regular video meetings to stay aligned. Clear documentation, asynchronous communication, and flexible schedules help ensure that everyone can contribute efficiently, even when working hours don't fully overlap. Adapting to this environment can be challenging at first, but it fosters strong communication skills and autonomy.

What are the key skills and qualifications needed to thrive as a remote computer engineer, and why are they important?

To thrive as a Remote Computer Engineer, you need a strong background in computer science, software development, and problem-solving, usually supported by a relevant degree or equivalent experience. Familiarity with programming languages, version control systems like Git, and cloud platforms such as AWS or Azure is typically required, alongside certifications like CompTIA or AWS Certified Solutions Architect. Excellent communication, self-motivation, and time management are essential soft skills for effective remote collaboration and productivity. These skills and qualities are crucial for delivering high-quality technical solutions while working independently in distributed teams.

What is the difference between Remote Computer Engineering vs Remote Software Development?

AspectRemote Computer EngineeringRemote Software Development
Required CredentialsBachelor's in Computer Engineering, certifications like Cisco CCNA or CompTIA Network+Bachelor's in Computer Science or Software Engineering, certifications like Microsoft Certified, AWS Developer
Work EnvironmentDesigning hardware, embedded systems, network infrastructure; often involves labs or on-site hardware testingWriting, testing, and deploying software applications; primarily computer-based work
Employer & Industry UsageTelecommunications, hardware manufacturing, embedded systems companiesTech companies, startups, software firms, IT services

Remote Computer Engineering focuses on hardware design, embedded systems, and network infrastructure, often requiring specialized certifications and hardware labs. In contrast, Remote Software Development centers on coding, testing, and deploying software applications, with a primary emphasis on programming skills and cloud certifications. Both roles are in high demand but serve different technical needs within the tech industry.

Are remote computer engineers still in demand?

Remote computer engineering remains in high demand due to ongoing digital transformation and the need for software development, system design, and cybersecurity expertise. Professionals with skills in programming languages, cloud platforms, and remote collaboration tools are especially sought after across various industries.

Can you work remotely as a computer engineer?

Yes, many computer engineering roles can be performed remotely, especially those involving software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the employer.

Which remote computer engineering jobs can be done remotely?

Remote computer engineering jobs include roles such as software engineer, hardware engineer, systems architect, and embedded systems developer. These positions often require skills in programming, hardware design, or system integration and can be performed from a home office with access to necessary tools and internet connectivity.

What are the most commonly searched types of Computer Engineering jobs in Toronto, ON?

The most popular types of Computer Engineering jobs in Toronto, ON are:

What are popular job titles related to Remote Computer Engineering jobs in Toronto, ON?

For Remote Computer Engineering jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Computer Engineering jobs in Toronto, ON look for?

The top searched job categories for Remote Computer Engineering jobs in Toronto, ON are:

Remote Computer Engineering jobs near you
Infographic showing various Remote Computer Engineering job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $91,331 per year, or $43.9 per hour.

RL Environment Engineer - Remote

Toronto, ON • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 16 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.