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Remote Computer Science Teacher Jobs in Toronto, ON

IP Expert -- Patent / Trademark (Remote, Hourly) Type: Contract Compensation: $85-$120/hour ... Technical background in engineering, computer science, life sciences, or chemistry preferred for ...

Founded by experts in finance and computer science, XIOpt prides itself on its practitioner-led approach to meeting clients' needs. Role Description This is a full-time, remote Internship role in ...

D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Graduate degree in Computer Science with a strong background in machine learning required. * Strong ... teaching) a plus but not required. The ideal candidate will be self-motivated, possess excellent ...

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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 job?

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 in the Remote Computer Science Teacher position, and why are they important?

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 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:
Infographic showing various Remote Computer Science Teacher job openings in Toronto, ON as of June 2026, with employment types broken down into 2% Internship, 63% Full Time, 27% Part Time, 2% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.

AI Trainer - Computer Science Expert - Graphical Abstract - Fully Remote - (CA)

Prolific Academic Ltd

Toronto, ON • Remote

Full-time

Posted 27 days ago


Job description

AI Trainer - GDM Graphical Abstract - Computer Science (Fully Remote)About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking Computer Science Domain Experts to act as evaluators for a high-level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy.

We need experts who can navigate dense scientific literature to judge the accuracy and structural integrity of AI-generated graphical abstracts. This is a flexible, ad hoc project where your technical expertise directly influences how AI understands and summarizes complex computer science research.

What you'll bring
  • Scientific Review: review computer science scientific papers alongside LLM-generated graphical abstracts.
  • Fact-Checking: identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.
  • Expert Verification: use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
What you'll be doing in the role
  • Advanced Academic Credentials: you must hold a Master's or PhD in Computer Science.
  • Domain Expertise: specialized knowledge in STEM/Computer Science fields.
  • Analytical Skills: history with fact-checking tasks and a high level of basic cognitive competency.
Bonus Points
  • Previous experience with AI-related training or evaluation tasks.
  • Background in scientific publishing or peer review.
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.