DutiesGeneral duties include conducting weekly tutorial/lab sessions; holding office hours; grading quizzes, tests, assignments and exams; as well as consulting with the course instructor regarding course work.

Duties of this position shall be performed at the campus on which the position is located.

Minimum Qualifications Previous experience is the more relevant criterion than the need to acquire experience in respect of this posted position.

These paid positions are open only to University of Toronto Students who have demonstrated a sound knowledge of selected AI topics including: Search (DFS, BFS, A*, and other heuristic search methods), game trees and mini-max, reinforcement learning, MDPs, Q-learning, neural networks, decision trees, and first-order logic.

Knowledge of current methods based on Deep Learning (including convolutional networks, transformers,



diffusion methods, reinforcement learning, and graph networks) is required.

Experience with and ability for running inverted- style tutorials is required.

Applicants may be invited to a short interview with the course instructor to determine qualifications.

The successful applicant must be available up to twice per week to run tutorials and/or labs in person, at UTSC.

All contracts are by session and extend for four months each as per the length of each session.

Preferred Qualifications Relevant CriterionPrevious experience is the more relevant criterion than the need to acquire experience in respect of this posted position.

📌 Artificial Intelligence Ontario
🏢 University of Toronto
📍 Ontario