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Weekend Technical Support Engineer Remote Jobs in Toronto, ON

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Document solutions and provide clear technical feedback. Required Skills * Strong proficiency in ...

Developer Relations Intern

Toronto, ON · Remote

CA$8 - CA$16/hr

Provide technical support and guidance to developers building on BNB Chain * Collect developer ... Self-motivated, proactive, and able to work independently in a remote environment * Passionate ...

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Our Technical Support team has a focus on providing the best customer experience by building trust ...

University degree or technical college diploma in Computer Science, Software Engineering ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

University degree or technical college diploma in Computer Science, Software Engineering ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

University degree or technical college diploma in Computer Science, Software Engineering ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

University degree or technical college diploma in Computer Science, Software Engineering ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

University degree or technical college diploma in Computer Science, Software Engineering ... Remote work and more! About Cayenta: Cayenta is a leading provider of enterprise resource ...

Our customer's team is seeking a Game Tools & Modding Engineer with strong rendering and engine ... Build and extend tools, pipelines, and engine systems to support development. * Collaborate with ...

Showing results 41-60

Weekend Technical Support Engineer Remote information

What is the difference between Weekend Technical Support Engineer Remote vs Weekend Customer Support Specialist Remote?

AspectWeekend Technical Support Engineer RemoteWeekend Customer Support Specialist Remote
Required CredentialsTechnical certifications (e.g., CompTIA, Cisco), technical knowledgeCustomer service skills, basic technical understanding
Work EnvironmentTechnical troubleshooting, remote support toolsCustomer interaction, issue resolution via chat or phone
Employer & Industry UsageIT companies, tech support providersRetail, telecom, service industries
Common Search & Comparison IntentTechnical skills, remote troubleshootingCustomer service, communication skills

The Weekend Technical Support Engineer Remote focuses on technical troubleshooting and resolving complex issues, requiring technical certifications. In contrast, the Weekend Customer Support Specialist Remote emphasizes customer communication and issue resolution, often with less technical certification. Both roles are remote and weekend-based but serve different customer needs within their industries.

What are popular job titles related to Weekend Technical Support Engineer Remote jobs in Toronto, ON?

For Weekend Technical Support Engineer Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Weekend Technical Support Engineer Remote jobs in Toronto, ON look for?

The top searched job categories for Weekend Technical Support Engineer Remote jobs in Toronto, ON are:

Infographic showing various Weekend Technical Support Engineer Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Frontend Developer - Remote

YO AI Labs

Toronto, ON • Remote

$80 - $120/hr

Full-time

Posted 12 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.