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Machine Learning Teaching Assistant Jobs in Wisconsin

Teacher Assistant

Milwaukee, WI ยท On-site

$19.50 - $20.12/hr

Support Staff/Teacher Assistant Date Posted: 4/7/2026 Location: Browning Elementary School Date ... At BPS, we are dedicated to creating a supportive and engaging learning environment for our ...

Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or health informatics. * Collaborate across disciplines to apply AI methodologies to analyze and model ...

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Machine Learning Teaching Assistant information

How does a Machine Learning Teaching Assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are Machine Learning Teaching Assistants?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

What are the key skills and qualifications needed to thrive as a Machine Learning Teaching Assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.
What are popular job titles related to Machine Learning Teaching Assistant jobs in Wisconsin? For Machine Learning Teaching Assistant jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Assistant jobs in Wisconsin look for? The top searched job categories for Machine Learning Teaching Assistant jobs in Wisconsin are:
What cities in Wisconsin are hiring for Machine Learning Teaching Assistant jobs? Cities in Wisconsin with the most Machine Learning Teaching Assistant job openings:

Teaching, Learning, and Technology Specialist I

Wisconsin

Madison, WI โ€ข On-site

Full-time

Posted 29 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:Academic StaffEmployment Type:RegularJob Profile:Teach, Learn, & Tech Spec IJob Summary:

The Food Animal Production Medicine (FAPM) section within the Department of Medical Sciences at the University of Wisconsin School of Veterinary Medicine (SVM) is seeking a motivated, detail-oriented individual to assist with and support the design, development, and enhancement of applied research initiatives, instructional activities, and outreach programs in dairy production medicine.

The candidate will join a unique team of 8 dairy cattle specialists with leading expertise in calf health, internal medicine, lameness, mastitis, reproduction, epidemiology, facility design, and animal welfare, who perform extensive outreach across Wisconsin and the United States as well as lead active, field-based research programs in collaboration with dairy producers and veterinarians.

The successful candidate will have the following duties:

Applied Research and Data Support: Assist with coordinating and organizing research trials focused on dairy herd health, including collection and processing of qualitative and quantitative on-farm data. Support data entry, organization, and ongoing maintenance of research databases and devices to ensure accurate, timely, and evidence-based answers to dairy industry questions and contribute to the integration of research findings into teaching and outreach activities.

Manage Farm Logistics & Stakeholder Relations for Research, Teaching, and Outreach: Schedule, organize, and coordinate farm logistics for research, teaching, and outreach purposes; maintain longterm relationships with dairy farms and veterinary clinics; conduct followup communications; and support data/sample collection and reporting workflows for both teaching and research activities, including coordination of research protocols and on-farm trial implementation.

Oversee Research, Teaching, and Outreach Vehicle & Equipment Operations: Maintain SVM farmtravel vehicles for research, teaching, and outreach purposes (cleaning, fueling, scheduling maintenance, winter prep), coordinate vehicle use across departments, and oversee stagingarea organization, equipment tracking, and supply management to ensure readiness for both instructional activities and field-based research operations, including specialized research equipment.

Administrative, Operational, & Financial Support for Research, Teaching, and Outreach: Handle billing and mileage tracking for farm visits related to research, teaching, and outreach initiatives; manage procurement of research, teaching, and outreach supplies, update shared resources and departmental records, assist with visiting students and guests, and support events such as career fairs and alumni engagements.

Coordinate Teaching & Academic Support: Manage scheduling for FAPM and clinical rotations, communicate with students, arrange room reservations, work with specimens, prepare course materials and equipment, support onfarm teaching, and maintain student/faculty communication throughout the year.

Program Communication & Outreach: Maintain FAPM digital resources like the website and apps, manage photo archives, communicate career and learning opportunities to students and clubs, acknowledge partnerships, and represent the department in clinics, farm visits, and college events while also supporting dissemination of research findings, stakeholder communication, and outreach efforts related to applied research programs.

Key Job Responsibilities:
  • Assists with the design and development of engaging, effective learning experiences which may be face-to-face, blended, and/or online (20%)
  • Contributes to researching, designing, and/or acquiring learning resources, technologies, materials, and/or processes to support learning (10%)
  • Operates, cleans, and maintains organization of research (and teaching) equipment and research (and teaching) area. Tracks inventory levels and places replenishment orders for research and teaching materials (10%)
  • Assists with providing basic training and technical support to learners in settings such as classrooms, labs, clinics, and distance learning mediums (15%)
  • Provides consultation, training, and/or support for learning technology tools and platforms (5%)
  • Assists with research experiments according to established research protocols with moderate impact to the project(s). Collects data and monitors test results (10%)
  • Analyzes, tests, troubleshoots, resolves issues, and provides feedback regarding learning technologies (5%)
  • Provides support for collecting, organizing, interpreting, and disseminating data to identify instructional program needs and enhance effectiveness (5%)
  • Assists with the design and development of multimedia learning materials (5%)
  • Provides support for faculty development and engagement programs and activities (5%)
  • Completes initial edits, reviews, and updates of existing instructional materials (10%)
Department:

University of Wisconsin, Madison - School of Veterinary Medicine - Department of Medical Sciences

Compensation:

Minimum $60,000/yr - negotiable based on experience and qualifications

Required Qualifications:

-Minimum 2 years of relevant experience

-Demonstrated ability to use Microsoft 365 applications, including Teams, basic spreadsheets, Powerpoint, and Outlook

-Abiity to lift 50 pounds to shoulder height

-Must provide a valid driver's license. Employees may use their own transportation or receive approval for University Car Fleet usage. Employment is conditional pending the results of a Pre-hire Driver Authorization Check.

Education:

Bachelor's Degree preferred

How to Apply:

To apply, please upload a resume, a cover letter outlining your experience and qualifications as it relates to this position, and the names and contact information for three professional references.

Contact Information:

For questions about the application process, contact Laura Hess, LHess4@wisc.edu

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.