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Remote Computer Science Teacher Jobs in Toronto, ON

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

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

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Computer Science PhD Researchers Type: Contract Compensation: $70-$90/hour Location: Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with large language ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$110 - CA$145/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$60 - CA$100/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

Mercor

AI Assessment Specialist - PhD

Toronto, ON · On-site +1

CA$66 - CA$84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science questions ...

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Remote Computer Science Teacher information

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 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 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:

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

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

Remote Computer Science Teacher jobs near you
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 Statistics Expert - PhD

Toronto, ON • Remote

Mercor
See more jobs at Mercorexternal

CA$70 - CA$90/hr

Full-time

Posted 12 days ago

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 Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
  • Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to improve problem setups and solution validators.
  • Work independently in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
  • Strong Python skills.
  • Ability to work independently and refine problem designs based on feedback.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • 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.