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Remote Computer Science Teacher Jobs in Toronto, ON

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Background in scientific teaching or exam/problem-set design. * Experience with computational ...

New

Principal Data Scientist

Brampton, ON · On-site +1

  • Medical

  • Dental

  • Retirement

  • PTO

A degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Data ... Deep familiarity with Ericsson RAN products and platforms, including Ericsson Radio System, Remote ...

Cybersecurity Program Manager - Remote

Toronto, ON · Remote

CA$87K - CA$181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Security, Business, or equivalent professional ... The starting pay range for this remote role is $87,120 - $181,500. This range reflects the minimum ...

Cybersecurity Program Manager - Remote

Toronto, ON · Remote

CA$87K - CA$181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Security, Business, or equivalent professional ... The starting pay range for this remote role is $87,120 - $181,500. This range reflects the minimum ...

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 ...

Showing results 21-40

Remote Computer Science Teacher information

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

Remote Computer Science Teachers often face challenges such as maintaining student engagement in a virtual setting, adapting teaching materials for online delivery, and addressing varying levels of students’ technical proficiency. Building interactive lessons using screen sharing, coding platforms, and real-time feedback tools helps keep students involved and ensures effective learning. Regular communication, virtual office hours, and fostering a collaborative online classroom culture can also address feelings of isolation and support students’ success. Proactively seeking professional development and sharing best practices with fellow educators can further enhance your teaching effectiveness in a remote environment.

What is a remote computer science teacher?

A Remote Computer Science Teacher is an educator who teaches computer science concepts and programming skills to students in an online format. They design lesson plans, deliver virtual lectures, and provide support through interactive platforms. Responsibilities may include grading assignments, conducting live coding sessions, and adapting curriculum to different learning levels. This role requires strong technical knowledge, effective communication skills, and proficiency with online teaching tools.

What are the key skills and qualifications needed to thrive as a remote computer science teacher?

To thrive as a Remote Computer Science Teacher, you need a solid understanding of computer science fundamentals, programming languages, and curriculum development, usually backed by a degree in computer science or education. Familiarity with virtual classroom platforms, learning management systems (LMS), and relevant teaching certifications is highly beneficial. Excellent communication, patience, and strong organizational skills help foster student engagement and effective learning in an online environment. These strengths are essential for delivering clear instruction, managing virtual classrooms, and ensuring students achieve their learning goals remotely.

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

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

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

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

Infographic showing various Remote Computer Science Teacher job openings in Toronto, ON as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 33% In-person, and 67% Remote job distribution.

Computational Seismology Expert - PhD

Mercor

Toronto, ON • On-site, Remote

CA$70 - CA$85/hr

Full-time

Posted 2 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Seismology & Geophysics Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
  • Develop problems requiring the use of specialized scientific software like SPECFEM, ObsPy, and Pyrocko.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on AI model training, evaluation, and improvement in computational seismology.
  • Work independently and asynchronously to refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (SPECFEM, ObsPy, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently in a Linux/terminal environment.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.