TA (CUPE) - MIA5100 B - Winter 2027
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Before you apply
SalaryCA$34 – CA$53/hr
LocationOttawa, ON; Main Campus
Work modeon-site
Typepart-time
SeniorityEntry
DepartmentSchool of Engineering Design and Teaching Innovation
Company size10,000+ people
PostedOct 28, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have strong theoretical knowledge of foundational AI/ML techniques such as statistical learning theory, supervised and unsupervised learning, deep learning, NLP, computer vision with applications to real-world use cases
Hands-on experience with industry tools and libraries commonly used for AI/ML model development (e.g., Python, Scikit-learn, Keras, NLTK, SpaCy, etc.)
Knowledge of application deployment is required
Excellent communication skills and the ability to simplify complex topics to support student comprehension
Completed a related course with a minimum grade of A
Prior experience as a teaching assistant for a similar course
Worked on AI/ML projects in an industry setting
All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University
University of Ottawa embraces diversity and inclusion in the workplace
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts
Skills
Python
Scikit-learn
Keras
NLTK
SpaCy
Posting Reason:
New Position
Location where work is to be performed:
Main Campus
Session:
2027 Winter Semester | Trimestre d’hiver
Faculty:
Faculté de génie / Faculty of Engineering
Unit:
School of Engineering Design and Teaching Innovation_ST
Job Classification:
Teaching Assistant/Demonstrator/Lab Monitor (CUPE)
Posting Type:
Cours précis / Specific course
Course Title:
Foundations and Applications of Machine Learning
Course Code:
MIA5100
Section:
B
Supervisor name (if known):
Olubisi Atinuke Runsewe
Date Posted (YYYY/MM/DD):
2026/10/28
Hiring process
Applications must be received BEFORE (YYYY/MM/DD):
2026/11/13
Description of tasks (hours):
Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.
Recherche / Research :0Préparation / Preparation :0Contact avec étudiants / Contact with Students :12Correction - Notation / Grading :15Surveillance / Proctoring :3Formation / Training :0Autre / Other :2
Number of positions:
1
Expected Enrolment:
22
Work Start Date:
janvier 04, 2027
Work End Date:
avril 30, 2027
Total Work Hours:
32.5
Hourly Rate:
AE-RA-Tuteur / TA-RA-Tutor : $33.83 ou/or $53.31 (Sept. 2026 - Aug. 2027)
Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.
These rates do not include vacation pay nor statutory pay.
Method of Delivery:
na
Language of Work:
Anglais | English
Requirements and Nature of Work:
Must have strong theoretical knowledge of foundational AI/ML techniques such as statistical learning theory, supervised and unsupervised learning, deep learning, NLP, computer vision with applications to real-world use cases. Hands-on experience with industry tools and libraries commonly used for AI/ML model development (e.g., Python, Scikit-learn, Keras, NLTK, SpaCy, etc.), as well as knowledge of application deployment, is required. Should have excellent communication skills and the ability to simplify complex topics to support student comprehension.
Nice to have
Preference will be given to candidates who have completed a related course with a minimum grade of A, or have prior experience as a teaching assistant for a similar course, and/or worked on AI/ML projects in an industry setting.
Additional Information and/or Comments:
Legal
All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.
The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more.
About the company
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.