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Computer Science Student Internship Jobs in Toronto, ON

Computer Vision Engineering Co-op

Toronto, ON · On-site

CA$24.50 - CA$28.50/hr

PEY/co-op student in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or an equivalent engineering, mathematics, or science discipline. * Strong Python ...

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Computer Science Student Internship information

See Toronto, ON salary details

$8

$23

$49

How much do computer science student internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for computer science student internship in Toronto, ON is $23.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.45 and $25.92 per hour, depending on experience, location, and employer.

What is the difference between Computer Science Student Internship vs Software Developer Intern?

AspectComputer Science Student InternshipSoftware Developer Intern
Required CredentialsEnrolled in computer science or related degreeEnrolled in or recent graduate of computer science or related degree
Work EnvironmentEducational setting, tech companies, startupsTech companies, software firms, startups
Employer & Industry UsageUniversities, tech companies, internships programsTech companies, software development firms
Search & Comparison IntentUnderstanding internship opportunities for studentsLooking for software development internship roles

Both roles involve gaining practical experience in software development, but a Computer Science Student Internship is typically targeted at students still pursuing their degree, often with a broader focus on learning various computer science concepts. A Software Developer Intern usually implies a more specialized role focused on coding and software projects, often requiring some prior knowledge or coursework in programming.

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

To excel as a Computer Science Student Intern, you need a solid grasp of programming fundamentals, algorithms, and data structures, typically gained through university coursework or related projects. Familiarity with coding languages like Python, Java, or C++, and experience with version control systems such as Git, are commonly required, while knowledge of development environments or cloud platforms can be advantageous. Strong problem-solving abilities, willingness to learn, and effective teamwork and communication skills help interns stand out in dynamic tech environments. These competencies are crucial for contributing meaningfully to projects, adapting to new technologies, and collaborating effectively within professional software development teams.

Which internship is best for a CS student?

The best internship for a computer science student typically offers hands-on experience in software development, algorithms, or data structures, and may involve working with programming languages like Python, Java, or C++. Look for opportunities that provide mentorship, real-world projects, and exposure to industry tools and practices to enhance skills and improve employability.

What is a Computer Science Student Internship?

A Computer Science Student Internship is a temporary position that allows students studying computer science to gain practical experience in the field. Interns typically work for a company or organization while applying the concepts and skills they've learned in the classroom to real-world projects. These internships can focus on areas such as software development, data analysis, cybersecurity, or IT support. The experience helps students build their resumes, develop professional networks, and often leads to future job opportunities in the tech industry.

What is a good pay for a freshman CS intern?

A typical pay for a freshman computer science intern ranges from $15 to $20 per hour, depending on the location, company size, and the intern's skills. Interns with programming knowledge in languages like Python or Java and familiarity with tools such as Git may command higher wages. Compensation can also vary based on whether the internship is paid or unpaid, with paid internships generally offering more competitive pay.

How to get internships as a computer science student?

Computer science students can secure internships by building a strong foundation in programming languages like Python or Java, gaining experience through personal projects or open-source contributions, and applying through university career centers, online job portals, or company websites. Developing skills in data structures, algorithms, and tools such as Git can improve competitiveness, and obtaining relevant certifications may also enhance prospects.

What are some common challenges computer science interns face during their internships, and how can they overcome them?

Computer science interns often encounter challenges such as adapting to new codebases, managing time between multiple projects, and communicating technical ideas to team members. To overcome these, interns should actively seek guidance from mentors, take the initiative to document and understand the code, and practice clear communication, especially when working with non-technical colleagues. Engaging in regular check-ins and asking for feedback also helps interns integrate smoothly and accelerate their learning curve.

Where can I do my internship as a computer science student?

Computer science students can pursue internships at technology companies, startups, research labs, or through university programs. Internships often involve working with programming languages, software development, or data analysis, and may be available year-round or seasonally, depending on the organization.
What are popular job titles related to Computer Science Student Internship jobs in Toronto, ON? For Computer Science Student Internship jobs in Toronto, ON, the most frequently searched job titles are:
What cities near Toronto, ON are hiring for Computer Science Student Internship jobs? Cities near Toronto, ON with the most Computer Science Student Internship job openings:
Sessional Lecturer - CSC490H1F - Capstone Design Project - Great Canadian Entrepreneurs

Sessional Lecturer - CSC490H1F - Capstone Design Project - Great Canadian Entrepreneurs

University of Toronto

Toronto, ON

CA$16K/mo

Other

Posted 3 days ago


Job description

Date Posted: 07/10/2026
Req ID: 49324
Faculty/Division: Faculty of Arts & Science
Department: Department of Computer Science
Campus: St. George (Downtown Toronto)

Description:

Course number and title: CSC490H1F - Capstone Design Project - Great Canadian Entrepreneurs


Please note, this position is equivalent to 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 year's topic themes, required preparation, and course enrolment procedures. Not eligible for CR/NCR option. A refundable deposit of approximately $92 will be charged for the use of Arduino kit in lab activities. Students must submit an application to the course describing relevant interests, experience, and skills and general academic history. Application questions are set and assessed by the instructor. Applications from St. George students enrolled in a Computer Science program or the Data Science Specialist program will be considered first. Applications by students from other programs with appropriate prerequisites will be considered as space permits.

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

Estimated course enrolment: 45 students per section


Estimated TA support: one 60-hour TA position

Class schedule: 

Mondays 16:00-19:00 

*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: September 1, 2026 - December 31, 2026

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.
  • Experience leading companies and organizations within the technology sector preferred.
  • Experience building long-term partnerships between academic and industry organizations 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 January 11, 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 appplication form. The direct link is: https://forms.cloud.microsoft/r/TkWGpTDjjx. 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: 07/20/2026, 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.