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Computer Science Teaching Jobs in Ontario (NOW HIRING)

Research Coordinator

Toronto, ON ยท Hybrid

CA$63K/yr

Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George (Downtown Toronto ... The strength of Arts & Science derives from our combined teaching and research excellence in the ...

New

Data Scientist

Toronto, ON ยท On-site +1

... computer science focus preferred. * Machine learning, data science, AI engineering, or applied ... Ontario Teachers' may use AI-based tools to assist in screening and assessing applicants for this ...

... teach and when all fails, likes to get things done Nice Haves: * Bachelors degree in computer science * Hand on experience with Docker development environments * Domain Driven Design * System ...

... teach and when all fails, likes to get things done Nice Haves: * Bachelors degree in computer science * Hand on experience with Docker development environments * Domain Driven Design * System ...

Showing results 21-40

Computer Science Teaching information

What do computer science teachers do?

Computer science teachers develop and deliver lessons on programming, algorithms, data structures, and software development to students. They assess student progress, create curriculum materials, and may incorporate tools like coding platforms or programming languages to facilitate learning.

Is there a shortage of computer science teachers?

There is a recognized shortage of qualified computer science teachers in many regions, driven by increasing demand for technology education and a limited supply of educators with specialized skills in programming, algorithms, and computer systems. This shortage often leads to increased job opportunities, competitive salaries, and a need for ongoing professional development and certifications in the field.

What are the key skills and qualifications needed to thrive as a Computer Science Teacher, and why are they important?

To thrive as a Computer Science Teacher, you need a solid background in computer science concepts, teaching credentials, and often a relevant degree or certification in education. Familiarity with programming languages (such as Python or Java), learning management systems, and educational technology tools is typically required. Strong communication, patience, and the ability to inspire and engage students are crucial soft skills. These competencies ensure effective instruction, support diverse learners, and foster a positive and productive classroom environment.

What are some common challenges computer science teachers face when introducing programming concepts to students?

One common challenge computer science teachers encounter is addressing the wide range of prior knowledge and experience among students, as some may be completely new to programming while others have advanced skills. Teachers must also find engaging ways to explain abstract concepts, making them accessible and relevant to learners with different interests and learning styles. Additionally, keeping up with rapidly evolving technologies and ensuring that course content remains current can be demanding. Collaboration with other educators and leveraging online resources often help in overcoming these challenges and enhancing student engagement.

Can I be a teacher with a computer science degree?

Computer science teachers typically need a bachelor's degree in computer science or a related field, along with teaching certification or licensure depending on the education level and region. Strong programming skills, knowledge of educational technology, and classroom management are also important for teaching computer science effectively.

Is computer science teaching in demand?

Computer science teaching is in high demand due to the growing need for technology education across schools, colleges, and training programs. Educators with strong programming skills and knowledge of current technologies are sought after to meet the increasing interest in coding, software development, and digital literacy.

What is computer science teaching?

Computer science teaching involves instructing students on topics related to computer science, such as programming, algorithms, data structures, computer systems, and computational thinking. Educators in this field work in various settings, including schools, colleges, universities, and online platforms. Their goal is to help students develop problem-solving skills, understand theoretical concepts, and gain practical experience with technology. Computer science teachers may also design curricula, assess student progress, and stay updated with advancements in the rapidly evolving field.
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 jobs in Ontario? For Computer Science Teaching jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Teaching jobs in Ontario look for? The top searched job categories for Computer Science Teaching jobs in Ontario are:
Infographic showing various Computer Science Teaching job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Sessional Lecturer - CSC490H1S - Capstone Design Project - Web-Scale System Design

Sessional Lecturer - CSC490H1S - Capstone Design Project - Web-Scale System Design

University of Toronto

Toronto, ON โ€ข On-site

CA$16K/mo

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Date Posted: 07/10/2026
Req ID: 49322
Faculty/Division: Faculty of Arts & Science
Department: Department of Computer Science
Campus: St. George (Downtown Toronto)

Description:

Course number and title: CSC490H1S - Capstone Design Project - Web-Scale System Design, LEC0101


Please note, this position is a 0.5 FCE appointment. 

Course description:  This half-course gives students experience solving a substantial problem that may span several areas of Computer Science. Students will define the scope of the problem, develop a solution plan, produce a working implementation, and present their work using written, oral, and (if suitable) video reports. Class time will focus on the project, but may include some lectures. The class will be small and highly interactive. Project themes change each year. Contact the Computer Science Undergraduate Office for information about this yearโ€™s topic themes, required preparation, and course enrolment procedures. Not eligible for CR/NCR option. 

Reference: https://artsci.calendar.utoronto.ca/course/csc490h1 

Estimated course enrolment: 50 students


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

Class schedule: Wednesdays 13:00-15:00

*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 โ€“ 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.
  • Must have professional experience designing, building, testing, and evaluating large-scale software systems.
  • Experience with web application architectures, APIs, data storage, caching, distributed systems, message queues ,search, reliability, real-time systems, and offline applications.
     

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 departmentโ€™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/XNUe8x2qdX. 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: 08/04/2026, 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.