Previous JobJob TitleAI/ML Instructor - Casual Next JobApply for JobJob ID375907 LocationTwin Cities Job FamilySupplemental Employee Full/Part TimePart-Time Regular/TemporaryRegular Job Code0005 Employee ClassCivil Service Add to My Favorite JobsEmail this Job About the Job The Technological Leadership Institute (TLI) and the AI Hub at the University of Minnesota occasionally hire employees on a casual basis. These
positions perform a variety of non-academic and/or academic work responsibilities and are limited to no more than 14 hours per week.. Appointments are based on need, funding, and performance. Positions will be housed in TLI.This does not constitute a posting for vacancies but establishes a pool of applicants should an opening occur. Applicants will be selected from this pool on an as-needed basis throughout the year
and will be contacted if they are being considered for an open position.Individuals in these positions will design, develop, and deliver non-academic curricula focused on upskilling and reskilling employees with a focus on Artificial Intelligence and Machine Learning (AI/ML). The training will equip employees with essential skills in artificial intelligence (AI) development and application, with a strong emphasis on
ensuring the safe, ethical, and responsible adoption of these transformative technologies.KEY RESPONSIBILITIESInstructors will design, develop, and deliver curriculum for various modules. Responsibilities include but are not limited to the following:Collaborate with the project curriculum team to develop course materials as outlined in the project workplan. This may include defining learning outcomes, project
schedules, assignments, and learning assessments.Upload course materials into the Canvas learning management system.Deliver the course to project participants.Communicate with participants through Canvas, office hours, email, or other methods of communication for the duration of the course. Qualifications REQUIRED QUALIFICATIONSBachelor's degree required.Demonstrated distinguished track record in the AI/ML-related
fieldProfessional and/or teaching experience related to assigned instruction responsibilities may be required.PREFERRED QUALIFICATIONSMaster’s degree or higher is preferredProficient knowledge of AI concepts, including machine learning, deep learning, and agentic AI, and how models are developed, trained, and validatedUnderstanding of the various landscapes: operational, ethical, legal, data compliance, and
Summary from the source posting. Always confirm details on the institution's official career page.