McGill University
Education
SchoolofComputerScienceTeachingAssistantPositionsFall2026
Neural analysis suggests this role is
optimal for Mid+ candidates.
“School of Computer Science Teaching Assistant Positions Fall 2026 at McGill University. Communicate with the instructor. Maintain and observe office and/or lab”
Industry & Context.
Authorized to work in Canada, Willing to work in the province of Quebec
What They're Looking For.
Must Have
McGill registered graduate students only, Good understanding of the course material, Willing to interact with students in the class/lab, Good command of the English language, Good communication skills, Authorized to work in Canada, Willing to work in the province of Quebec
What You'll Do.
Communicate with the instructor
Maintain and observe office and/or lab
Develop grading scripts
Grade assignments and exams
Monitor the discussion
Prepare solution sets
Supervise students during evaluations
Use software for plagiarism detection
Be available throughout the examination
Photo copy course notes
Ensure confidentiality
Respect and treat all students equally
How You'll Work.
Team & Collaboration
Communicate with the instructor
Communication Scope
Good communication skills
Full Job Description
**Please refer to the[How to Apply for a Job (for External Candidates)](https://www.mcgill.ca/hr/files/hr/apply_at_mcgill_university_-_guide_for_external_candidates_en.pdf) job aid for instructions on how to apply.** **If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).** Students who currently do not hold a TA position or do not have a profile in Workday: please apply externally using an external email address (do not use your @mail.mcgill.ca). Hiring Unit: School of Computer Science Course Number: COMP 202 - Course Title: Foundations of Programming Course Number: COMP 204 - Course Title: Computer Programming for Life Sciences Course Number: COMP 206 - Course Title: Introduction to Software Systems Course Number: COMP 208 - Course Title: Computer Programming for Physical Sciences and Engineering Course Number: COMP 250 - Course Title: Introduction to Computer Science Course Number: COMP 251 - Course Title: Algorithms and Data Structures Course Number: COMP 273 - Course Title: Introduction to Computer Systems Course Number: COMP 302 - Course Title: Programming Languages & Paradigms Course Number: COMP 303 - Course Title: Software Design Course Number: COMP 310 - Course Title: Operating Systems Course Number: COMP 321 - Course Title: Programming Challenges Course Number: COMP 330 - Course Title: Theory of Computation Course Number: COMP 350 - Course Title: Numerical Computing Course Number: COMP 360 - Course Title: Algorithm Design Course Number: COMP 361D1 - Course Title: Software Engineering Project Course Number: COMP 362 - Course Title: Honours Algorithm Design Course Number: COMP 370 - Course Title: Introduction to Data Science Course Number: COMP 424 - Artificial Intelligence Course Number: COMP 445 - Computational Linguistics Course Number: C
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