1

Computer Science Teaching Assistant Jobs in Toronto, ON

CAD Technician

Richmond Hill, ON · On-site

CA$60K - CA$65K/yr

... * Assist in the preparation of bid/ tender documents What you must have ... An Associate of Applied Science Degree/diploma in drafting OR Bachelor's degree in electrical or ...

Founded by experts in finance and computer science, XIOpt prides itself on its practitioner-led ... Interns will engage in hands-on projects, collaborate with expert practitioners, assist in real ...

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 ...

next page

Showing results 1-20

Computer Science Teaching Assistant information

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 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 are computer science teaching assistants?

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 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 Toronto, ON? The most popular types of Computer Science Teaching jobs in Toronto, ON are:
What job categories do people searching Computer Science Teaching Assistant jobs in Toronto, ON look for? The top searched job categories for Computer Science Teaching Assistant jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Computer Science Teaching Assistant jobs? Cities near Toronto, ON with the most Computer Science Teaching Assistant job openings:

Sessional Lecturer - CSC491H1S - Capstone Design Project

University of Toronto

Toronto, ON • On-site

CA$16.08K/mo

Other

Posted 7 days ago


Job description

Date Posted: 05/22/2026
Req ID: 48246
Faculty/Division: Faculty of Arts & Science
Department: Department of Computer Science
Campus: St. George (Downtown Toronto)

Description:

Course number and title: CSC491H1S - Capstone Design Project, LEC5101


Please note, this position is a 0.5 FCE appointment.

Course description:  This course is designed and delivered by industry experts from the Software/Tech fields. Students will work with teammates from CSC454H1 to develop a marketable startup on a selected theme. The class will be small and highly interactive. You will work to develop working software industry best practices. You are expected to have experience writing software and be able to learn on the go.

Reference: https://artsci.calendar.utoronto.ca/course/csc491h1 

Estimated course enrolment: 55 students


Estimated TA support: one 60-hour TA position for every 30 students

Class schedule: Thursdays 18:00-21:00

*Please note, the delivery method for this course is currently in-person. Please note that, in keeping with current circumstances, the section delivery method may change as determined by the Faculty or the Department.   

Sessional dates of appointment: January 1, 2027 - April 30, 2027

Salary:

Sessional Lecturer I = $14,381.00
Sessional Lecturer I - Long Term = $16,080.00
Sessional Lecturer II = $16,080.00
Sessional Lecturer II - Long Term = $17,212.00
Sessional Lecturer III = $17,212.00
Sessional Lecturer III - Long Term = $17,755.00

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications:

  • Graduate degree in Computer Science or closely related field required.
  • Demonstrated expertise in topic area of the course required.
  • Strong organizational, interpersonal, and communication skills required.
  • Teaching experience at the university level or equivalent industry level required.

Preferred qualifications:

  • Previous experience teaching undergraduate courses in the field of Computer Science preferred.
  • Demonstrated evidence of excellence in teaching preferred.
     

Description of duties:

  • Preparing and delivering the lectures in-person on campus as scheduled.
  • Handling course administration including: maintaining the course website on Quercus; developing marking schemes/syllabus; planning tutorial content (when applicable); developing course assessments including assignments, projects, quizzes, tests, and final assessments.
  • Providing appropriate contact time outside of class to students, through office hours, email, the course website and/or the course bulletin board.
  • Preparing the breakdown of hours for TA duties in the course and supervising the TAs.
  • Ensuring that tutorials and/or labs are delivered appropriately by the TAs as applicable.
  • Managing the grading for the course, which is largely done by the TAs, and carrying out any grading not handled by the TAs.
  • Invigilating term tests and the final exam when applicable.
  • Managing the grades, including the timely completion and release of grades and feedback to students throughout the term; submitting final course grades (due May 7, 2027).

While there is a lot of room for creativity in course delivery, instructors will be expected to follow the basic content and style used by the faculty members who normally teach the course, and must get approval from these faculty members or from the Associate Chair for any substantial changes to the course content or assessment methods. Instructors will also be expected to consult with the department's Teaching Support group when creating the course syllabus and course assessments (tests, assignments, projects, and final exam)

Application instructions: All individuals interested in this position must submit their application by using the following application form. The direct link is: https://forms.cloud.microsoft/r/gfGptJuLjg. This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form. If you have any questions, please email: sessional_lecturer@cs.toronto.edu.

***

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please email: sessional_lecturer@cs.toronto.edu.

Closing Date: 06/15/2026, 11:59PM EDT

**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

Candidates who are members of Indigenous. Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position.