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McGill University's Department of Electrical and Computer Engineering is seeking a Teaching Assistant for ECSE 557 (Intro to Ethics of Intelligent Systems) for the Fall 2026 semester. This part-time, in-person role in Montreal, Quebec, is open exclusively to McGill graduate students. Responsibilities include designing tutorial content, leading sessions, providing tutoring, and grading assignments. Candidates need public speaking skills, AI ethics research experience, knowledge of AI ethics frameworks, fairness toolkits, value-sensitive design, Python code assessment for ML models, and experience with local open-weight generative AI models.
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Hiring Unit:
Department of Electrical and Computer EngineeringCourse Title:
Intro to Ethics of Intelligent SystemsCourse Code:
ECSE 557 001Estimated Number of Positions:
1Total Hours of Work per Term:
71Teaching Assistant Positions in the Department of Electrical & Computer Engineering for the Fall 2026 semester. These positions are open to McGill University Graduate students only. This position requires in-person work and is located in the city of Montreal. You are expected to have an address in the province of Quebec.
Hiring Unit:
Electrical & Computer Engineering
Application Deadline:
July 13, 2026 at 11:59 p.m.
Effective Dates of Appointment:
August 31 to December 22, 2026
*IMPORTANT: Candidates not currently employed by McGill must use a personal email when creating an account to submit their application. Do not use @mail.mcgill.ca or @mcgill.ca accounts for this. *
Candidates currently employed by McGill may apply directly through the Career icon in their Workday profile.
Course Title, Course Number and Prof's Name:
ECSE 557:Intro to Ethics of Intelligent Systems; AJung Moon: 1 position : 71 hours
Required duties:
Design tutorial contents and questions; lead weekly tutorial session; tutoring and discussion related to course contents/project. Grading of assignments and projects.
Required Qualifications:
Requires public speaking ability and experience in AI ethics research publication venues (e.g., AIES, FAccT conferences). Knowledge of existing AI ethics frameworks, fairness toolkits, and fundamental concepts behind value-sensitive design. Capable of assessing submitted machine learning models and code in Python. Knowledge of using open weight generative AI models locally.
Hourly Salary:
Position Start Date:
Position End Date:
Deadline to Apply:
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.
