At a Glance
- Tasks: Assist in teaching Intelligent Systems, conduct labs, and support students.
- Company: University of Guelph, fostering an inclusive academic environment.
- Benefits: Gain valuable teaching experience and enhance your resume.
- Other info: Flexible hours, great for balancing studies and work.
- Why this job: Make a difference in students' learning while deepening your own knowledge.
- Qualifications: Must be a student with strong writing and Python skills.
The predicted salary is between 18900 - 23100 $ per year.
Teaching Assistant Work Assignment
Type of Work Assignment and Bargaining Unit: GTA, Unit 1
Academic Unit: School of Computer Science
Semester(s) of Assignment(s): Winter 2027
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period.
Course Number: CIS*3700
Course Name: Introduction to Intelligent Systems
Course Format: In-Person
Course Description: See Course Calendar
The total number of assignments is a low estimate of the number of available appointments. The final number may be higher and it will depend on class enrolment at the time of assignment.
Level of Appointment for GTA, GSA-1 UTA(s): The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.
This Posting includes Multiple Work Assignments: Yes
Number of Available 0.25 (35 hour) Work Assignments: 0
Number of Available 0.5 (70 hour) Work Assignments: 0
Number of Available 0.75 (105 hour) Work Assignments: 0
Number of Available Full 1.0 (140 hour) Work Assignments: 1
Total Number (Load) of Assignment(s) Available: 1
Duties and Responsibilities:
- Orientation-Training
- Office Hours
- Preparation
- Student Consultation
- Conducting Labs/Seminars
- Meetings
- Invigilating Exams
- Grading
- Other Duties Described
NOTICE: The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.
Qualifications:
Required Qualifications:
- Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities.
- Must have excellent writing skills and be able to effectively critique (in writing) student assignments.
- The ability to communicate computer science concepts to students effectively, both in written form and verbally.
- Must be available to support scheduled lab hours throughout the entire semester.
- Demonstrated knowledge on artificial intelligence and intelligent systems.
- Strong Python programming skills.
- Ability to grade written assignments according to a specified rubric.
- Strong organizational and time management skills.
Preferred Qualifications:
- Previous successful TA experience supporting CIS*3700.
- Demonstrated knowledge of CIS*3700 subject area through course development or taking a similar undergraduate or graduate course. This includes search tree and heuristic search, decision tree learning, regression and artificial neural networks.
Days Required and Wages:
Days and Times Required: See duties and qualifications above, as well as WebAdvisor for lecture and lab days and times. Must be available to complete TA duties as required until the end of the work period (May 7th, 2027).
Period of the Work Assignment (Start Date and End Date):
January 7, 2027 to May 7, 2027
Other Posting Information:
Application Deadline: Thursday, November 12, 2026
Hiring Contact Information:
Instructional Support Coordinator - teachingsupport@socs.uoguelph.ca
At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.
All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.
Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).
The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.
Introduction to Intelligent Systems employer: University of Guelph
The University of Guelph is an exceptional employer that prioritizes academic excellence and inclusivity, making it a rewarding place for professionals in the field of education. With a strong commitment to employee growth, the university offers numerous opportunities for professional development and collaboration within a supportive work culture. Located in a vibrant community, employees benefit from a dynamic environment that fosters innovation and strategic planning in curriculum development.
