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Graduate Student Instructor

United States, Ann Arbor · Job Posted June 10, 2026
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Job Description

This course covers the basic principles of reinforcement learning and popular modern reinforcement learning algorithms. Students will develop familiarity with both model-based and model-free reinforcement learning algorithms, including Q-learning, Actor-Critic algorithms, and multi-armed bandit algorithms.

Job Responsibility

  • Assisting in course planning and the delivery of UMSI courses on Coursera
  • Grading student assignments and exams
  • Conducting office hours and open lab times to meet with students
  • Attending weekly staff meetings
  • Managing autograders
  • Assisting students as they work on assignments
  • Facilitating small group online discussions and student conversations
  • Demonstrating respect for students as individuals and fostering a respectful atmosphere in the online learning environment
  • Working collaboratively with lead instructors and other instructional team members

Requirements

  • UM Graduate student in good standing
  • Must meet eligibility criteria as defined in the GEO contract
  • Must be lawfully able to be employed in the United States, sponsorship to obtain such status is not available at this time
  • Programming: proficiency in Python
  • Jupyter Notebooks
  • PyTorch, OpenAI.Gym
  • Mathematics: linear algebra, probability and statistics, dynamic programming, reinforcement learning theory, and deep reinforcement learning algorithms
  • Experiment Design: Familiar with implementation of deep reinforcement learning algorithms, including DQN, DDQN, DDPG, SAC
  • Familiar with the OpenAI.Gym environment

Nice to have

  • Experience or interest in teaching
  • Strong communication and analytical skills
  • Experience teaching programming and technology skills to beginning students

What we offer

  • Monthly stipend
  • Tuition waiver
  • Health insurance

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