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Computer Science Teaching Assistant Jobs in Ontario

Uottawa

CUPE- 2026 Fall SDS3786

Ottawa, ON · On-site

CA$31.89 - CA$50.25/hr

Teaching Assistant/Demonstrator/Lab Monitor (CUPE) Posting Type: Cours precis / Specific course Course Title: Laboratoire en science des donnees Course Code: SDS 3786 Section: Supervisor name (if ...

Konrad

Software Developer (Entry Level)

Toronto, ON · Hybrid

CA$85K - CA$95K/yr

Graduated from a Computer Science, Software Engineering, or similar program in a University or ... A lot of our design and development best practices and processes are taught during our courses ...

Ontario 407

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

The successful candidate will assist in leveraging customer, digital, and transportation datasets ... A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Minimum 3-5 ...

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Computer Science Teaching Assistant information

What are some typical challenges faced by computer science teaching assistants when supporting students during lab sessions?

Computer Science Teaching Assistants often encounter challenges such as addressing a wide range of student skill levels, managing multiple questions simultaneously, and explaining complex concepts in an accessible way. It’s important to balance providing guidance with encouraging independent problem-solving. TAs also need to stay up to date with course material and software tools, and to communicate effectively with both students and the course instructor to ensure consistent support.

What is a computer science teaching assistant?

Computer science teaching assistants (TAs) are individuals, often graduate or advanced undergraduate students, who support professors in teaching computer science courses. Their duties typically include helping students with assignments, answering questions, conducting lab sessions, grading, and sometimes leading discussion sections. TAs play a crucial role in facilitating student learning and providing additional support outside regular lectures. They help bridge the gap between students and instructors, making it easier for students to grasp complex computer science concepts.

What are the key skills and qualifications needed to thrive as a computer science teaching assistant, and why are they important?

To thrive as a Computer Science Teaching Assistant, you need a solid understanding of programming concepts, algorithms, and data structures, usually supported by coursework or a degree in computer science. Familiarity with programming languages (such as Python, Java, or C++), code collaboration tools (like Git), and learning management systems (e.g., Canvas or Blackboard) is often required. Strong communication, patience, and the ability to explain complex concepts clearly are crucial soft skills for supporting student learning. These skills ensure you can effectively assist students, reinforce course material, and contribute to a productive educational environment.

What is the difference between Computer Science Teaching Assistant vs Computer Science Tutor?

AspectComputer Science Teaching AssistantComputer Science Tutor
CredentialsUsually requires enrollment in or completion of a computer science programNo formal credentials required, but expertise in specific topics is essential
Work EnvironmentAssists in classrooms, labs, or university settingsProvides one-on-one or group instruction outside formal classroom settings
Employer & Industry UsageUniversities, colleges, educational institutionsPrivate tutoring services, online platforms, freelance

While both roles involve teaching computer science concepts, a Computer Science Teaching Assistant typically supports formal academic courses within educational institutions, often requiring relevant coursework or enrollment. In contrast, a Computer Science Tutor offers personalized instruction outside of formal settings, focusing on specific student needs without formal credentials. Both roles aim to improve student understanding but differ mainly in environment and credential requirements.

What are the most commonly searched types of Computer Science Teaching jobs in Ontario?

The most popular types of Computer Science Teaching jobs in Ontario are:

What are popular job titles related to Computer Science Teaching Assistant jobs in Ontario?

For Computer Science Teaching Assistant jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computer Science Teaching Assistant jobs in Ontario look for?

The top searched job categories for Computer Science Teaching Assistant jobs in Ontario are:

What cities in Ontario are hiring for Computer Science Teaching Assistant jobs?

Cities in Ontario with the most Computer Science Teaching Assistant job openings:

Computer Science Teaching Assistant jobs near you
Infographic showing various Computer Science Teaching Assistant job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

International Business University

Toronto, ON • On-site, Remote

CA$110K - CA$120K/yr

Full-time

Re-posted 29 days ago

Job description

Job Title: Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

# of Openings: 1 opening for the Industrial Innovation specialization or Data Engineering specialization

Term: Indefinite

Department: EDVP Office

Reports to: Academic Director

Location: Toronto, Ontario

Expected Salary: $110,000.00 - $120,000.00 per annum

Reporting to the Academic Director, the successful Full-time Faculty candidate will be responsible for high-quality curriculum development, delivery of the courses, and student support and mentorship in the Master of Science in Artificial Intelligence Program. The professor is also responsible for analysis of student performance and curricular trends, and internal and external communications. 

The ideal candidate will also demonstrate a strong commitment to equity, diversity, inclusion and to the promotion of a respectful and collegial learning and working environment on the IBU campuses. 

Qualifications:

  • Preference will be given to candidates with a terminal degree requirement and a demonstrated commitment to teaching and research. 
  • PhD in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a closely related field is required.
  • Demonstrated track record of scholarly research, applied research, or industry engagement in AI-driven innovation.
  • Expertise in areas such as machine learning, deep learning, data engineering, intelligent systems, robotics, or applied AI solutions.
  • Experience teaching topics including Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Cybersecurity, Human-Computer Interaction, or AI applications in industry.
  • Demonstrated relevant academic background, research portfolio and a record of teaching excellence.
  • Experience with remote/online/hybrid instruction is desirable. 

Application Process:

Application Packages should contain the following:

  • A cover letter
  • A current CV
  • A statement of teaching philosophy and evidence of teaching effectiveness (e.g., examples of peer and/or student evaluations)
  • A research plan (up to two single-spaced pages)
  • Sample publications or a research portfolio
  • Indigenization, Equity, Diversity and Inclusion (I-EDI) Statement
  • Contact information of three referees will be requested of longlisted candidates

Note: Application materials should be submitted as a single combined PDF file, with a file name that identifies the applicant.

Candidates shall address their application to: Dr. Pavlos Gkasis, Academic Director. This position is a new vacancy, and the posting remains open until the position is filled. The position is subject to budgetary approval. Any questions may be sent to careers@ibu.ca. 

Apply