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Remote Computer Science Teaching Jobs in Toronto, ON

Mercor

Automated Planning PhD - AI Expert

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Develop high-quality data for state-of-the-art large language models ... PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or ...

Morson Talent

25-177 - Product Manager

Toronto, ON · Remote

$70 - $100/hr

MP5 Duration: 12 Months Hours of work: 35 Location: 100% Remote Job Overview Position Overview: OPG ... Qualifications Bachelor's degree in Business, Computer Science, Engineering, or related field; MBA ...

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Remote Computer Science Teaching information

See Toronto, ON salary details

$19.6K

$73.4K

$177K

How much do remote computer science teaching jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote computer science teaching in Toronto, ON is $73,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,605.00 and $95,434.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed for remote computer science teaching?

To thrive as a Remote Computer Science Teacher, you need a deep understanding of programming languages, algorithms, and pedagogy, typically supported by a degree in computer science or a related field and teaching credentials. Familiarity with online learning platforms such as Zoom, Google Classroom, and course management systems, along with certifications like CompTIA or teaching licenses, is beneficial. Exceptional communication, patience, and organizational skills help engage students and facilitate effective online instruction. These skills ensure quality virtual education, student engagement, and the ability to adapt to diverse learning needs in a remote environment.

What is remote computer science teaching?

A Remote Computer Science Teaching job involves instructing students in computer science topics through online platforms. Teachers may create lesson plans, deliver lectures, assign and grade coursework, and provide support to students virtually. This role can be found in schools, universities, coding bootcamps, or private tutoring. Strong communication skills, technical expertise, and proficiency with online teaching tools are essential.

What are some common challenges faced in remote computer science teaching, and how can they be addressed?

Remote computer science teaching often presents challenges such as maintaining student engagement, ensuring academic integrity, and managing varied technical skill levels. Instructors can address these by incorporating interactive lessons, using real-time coding platforms for hands-on practice, and offering frequent virtual office hours for student support. Additionally, clear communication of expectations and leveraging collaborative tools like shared documents or discussion boards can foster a supportive online classroom environment. Embracing flexibility and continuous learning about new educational technologies also greatly contributes to a positive teaching and learning experience.

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

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

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

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

Remote Computer Science Teaching jobs near you

Software Engineer: Full-Stack (Multiple Positions Available)

Fiscal.ai

Toronto, ON • Remote

CA$100K - CA$220K/yr

Full-time

Dental, Vision, PTO

Re-posted 2 days ago

Job description

Job Title: Software Engineer: Full-Stack or Software Engineer: Full-Stack (Data)
Salary: $100,000-$220,000 + equity options.
Location: Remote with occasional in-person work in our co-working space in downtown Toronto.
About Us Fiscal.ai (formerly FinChat) is a leading research and data platform for capital markets. Combining a powerful research Terminal with modern APIs, Fiscal.ai is building the modern financial data company. The firm has raised $13M in venture backing and is headquartered in Toronto, Canada. With thousands of customers and millions of end-users through their API offerings, Fiscal.ai is building the premiere financial data company in the AI era.
Brief Description of the Role:

This role will be joining our growing and talented engineering Team. As a fast-growing company, you will be building at the intersection of the AI and finance.
There are two main responsibilities of the engineering Team:

  1. Building the Fiscal.ai Terminal product
  2. Building the Fiscal.ai Financial Data infrastructure (and API product)
    Both require deep understanding of the full stack, LLMs and finance. If you think this is the perfect fit for you, we'd love to specifically hear why!

Requirements

  • You are a 10x engineer. If you're not sure, no need apply. You need to write good code, fast.
  • Proficiency in TypeScript, React, NextJS.
  • Experience working with LLMs.
  • Strong background working with and/or building APIs.
  • Comfortable developing across the entire stack and on multiple products. Strong ability to develop beautiful front end Terminal interface for users as well as support backend data engineering.
  • Experience with data parsing.
  • Experience with large databases.
  • Experience with python.
  • Proven experience or strong interest in investing and finance. Our platform is built by investors, for investors, so a solid understanding of investment concepts is essential, especially when working with advanced data and financial concepts.
  • Bachelors or equivalent in Computer Science, Software Engineering. For some candidates, we may make exceptions ie) self-taught.
  • Experience or interest in AI technologies, specifically Large Language Models (LLMs).
  • Keen eye for design, UI, UX.
  • Based in Canada.

Tech Stack:
We work with a diverse set of tools and technologies, including:

  • React, Tailwind, Node, Next.js
  • Cloudflare, Firestore, Firebase, SQL.

Benefits

  • Competitive salary
  • Equity options
  • Unlimited vacation
  • Benefits (dental, massage, prescriptions, vision, etc.)
  • Remote-first work with occasional in-person work in our co-working space in downtown Toronto.
  • Salary: $100,000-$220,000 + equity options.
    Why the huge range? Fiscal.ai hires engineers based on talent and fit with our company, not based on traditional years of experience. Our salary offer will be determined on these factors within that range.
  • Number of Positions Available: Two (2)
  • Type: Full-time