At a Glance
- Tasks: Support students in AI tutorials, labs, and grading assignments.
- Company: University of Ottawa, committed to diversity and inclusion.
- Benefits: Competitive hourly rate, flexible work hours, and professional development opportunities.
- Other info: Great opportunity for career growth and networking in the tech field.
- Why this job: Join a dynamic team and help shape the future of AI education.
- Qualifications: Graduate-level course in Generative AI with strong Python skills required.
The predicted salary is between 44 - 45 $ per hour.
Location where work is to be performed: Main Campus
Session: 2027 Winter Semester
Faculty: Faculty of Engineering
Unit: School of Engineering Design and Teaching Innovation
Job Classification: Teaching Assistant/Demonstrator/Lab Monitor (CUPE)
Course Title: Topics in Interdisciplinary Artificial Intelligence
Course Code: MIA5150
Section: D
Supervisor name (if known): Wiam Ben Karroum
Date Posted: 2026/10/28
Applications must be received BEFORE: 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.
- Research: 0
- Preparation: 0
- Contact with Students: 65
- Grading: 55
- Proctoring: 10
- Training: 0
- Other: 0
Number of positions: 1
Expected Enrolment: 60
Work Start Date: January 04, 2027
Work End Date: April 30, 2027
Total Work Hours: 130
Hourly Rate: $33.83 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: N/A
Language of Work: English
Requirements and Nature of Work:
- Completed an equivalent graduate-level course in Generative AI and LLMs (or a closely related course) with a grade of A or higher.
- Strong understanding of Generative AI and LLM concepts, including Transformers, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and multimodal AI.
- Proficiency in Python and experience with modern AI/ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, and vector databases).
- Familiarity with LLM APIs and deployment frameworks.
- Excellent communication with the ability to effectively support students during tutorials, labs, and office hours.
Assets:
- Previous teaching assistant experience.
- Familiarity with agentic AI concepts and multi-agent frameworks.
- Relevant industry experience developing or applying Generative AI or LLM-based applications.
Additional Information and/or Comments:
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 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.
TA (CUPE) employer: University of Ottawa
The University of Ottawa is an exceptional employer, offering a dynamic and inclusive work environment that prioritizes diversity and equity. As a part-time professor in the Faculty of Education, you will have the opportunity to engage with motivated students while contributing to innovative research and teaching practices. The university fosters professional growth through collaborative initiatives and provides a supportive atmosphere that values creativity and respect.
