Sessional Instructional Assistant - CSC108H5F - Introduction To Computer Programming (autotesting)

University Of Toronto; Mississauga; On-site; CAD 30,000 - 60,000; Part time

Job summary

A prestigious university in Canada is seeking a sessional lecturer for the CSC108H5F course on Introduction to Computer Programming. The position involves creating and running autotests for Python assignments and providing timely feedback to students. Candidates must have expertise in Python and related testing tools. The role is part-time, with 216 hours from September 1, 2025, to December 31, 2025, at a pay rate of $54.27 per hour.

Qualifications

• Expertise with Python, pytests, doctests, and unit tests is required.
• Familiar with UTM compute infrastructure.
• Strong organizational skills and attention to detail.

Responsibilities

• Create and run autotests for Python programming assignments.
• Provide rapid feedback to students on tests.
• Run tests multiple times per week, including evenings and weekends.

Skills

Expertise with Python

Experience with pytests

Familiarity with MarkUs infrastructure

Strong organizational skills

Strong written/spoken English communication skills

Tools

MOSS

jPlag

Job description

Date Posted:
07/28/2025
Req ID: 44518
Faculty/Division: UofT Mississauga
Department: UTM: Math/Comp. Sciences
Campus:University of Toronto Mississauga (UTM)

Description:

-Course number and title: CSC108H5F - Introduction to Computer Programming (Autotesting) (emergency posting)
-Course description: Structure of computers; the computing environment. Programming in a language such as Python. Program structure: elementary data types, statements, control flow, functions, classes, objects, methods, fields. List: searching, sorting and complexity.

-Estimated course enrolment: 920

-Number of positions: 1

-Size of appointment: 216 hrs

-Sessional dates of appointment: September 1, 2025 - December 31, 2025

-Salary: $54.27 per hour + 4% vacation pay

-Minimum qualifications: Expertise with Python, pytests, doctests, and unit tests is required. Proficiency with setting up, maintaining, and running the infrastructure used for autotesting (MarkUs and its test cases) and detecting code similarity (e.g., MOSS, jPlag) is also required. Must be familiar with this course offering from UTM and the UTM compute infrastructure. Strong organizational skills and strong written/spoken English communication skills, including a demonstrated and consistent ability to complete work on time and with a high level of attention to detail.

-Preferred qualifications: n/a

-Description of duties: The automarking position involves creating and running the autotests for Python programming assignments, labs, and practice problems. The automarking TA must be available to run these tests multiple times per week and to get results posted quickly, to give students rapid feedback. Running tests will occur on evenings, weekends, and during business hours. Prompt completion of these test cases with tight turnaround times is essential to the operation of this course and is a requirement for this role.

-How :Completion of a Web Application Form:utapcsc.utm.utoronto.ca

Closing Date:07/31/2025, 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.