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Machine Learning Teaching Assistant Jobs in Michigan

BIG STEPS LITTLE FEET INC

Assistant Toddler Teacher

Ada, MI · On-site

$15.50 - $18/hr

As a Teaching Assistant, you will assist the classroom teacher with classroom duties and instruction. Your goal is to create a welcoming learning environment and provide children with the environment ...

BIG STEPS LITTLE FEET INC

Infant Teacher Assistant

Ada, MI · On-site

$15.50 - $18/hr

As a Teaching Assistant, you will assist the classroom teacher with classroom duties and instruction. Your goal is to create a welcoming learning environment and provide children with the environment ...

SEEDS

Teaching Assistant - KND Elementary

Brethren, MI · On-site

$15.72/hr

EcoSchool Teaching Assistant- KND Elementary School Summary The Teaching Assistant works closely ... Maintain a clean, tidy, and safe learning environment for students daily. * Participate in the ...

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Machine Learning Teaching Assistant information

What's the difference between a TA and a LSA?

In the context of a Machine Learning Teaching Assistant role, a TA typically assists with grading, student support, and course logistics, while an LSA (Learning Support Assistant) may focus more on providing additional instructional help or tutoring. The specific responsibilities can vary by institution, but TAs often have more formal teaching duties and may hold a graduate assistantship, whereas LSAs usually support learning in a more informal capacity.

How much does TA get paid?

The pay for a Machine Learning Teaching Assistant varies depending on the institution and location but typically ranges from $15 to $30 per hour. TAs often assist with grading, tutoring, and lab sessions, and some positions may offer stipends or hourly wages based on experience and responsibilities.

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.

Is ML a high paying job?

Machine Learning Teaching Assistants often earn competitive salaries, especially with relevant skills in programming, data analysis, and machine learning frameworks. Salaries can vary based on experience, location, and the level of education, but the field generally offers high earning potential compared to many entry-level roles.

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 is an AI teaching assistant?

An AI teaching assistant is a software tool or program that uses artificial intelligence to support educational activities, such as answering student questions, grading assignments, or providing personalized learning recommendations. In the context of a machine learning teaching assistant role, it involves developing, maintaining, or improving AI systems that assist instructors and students in learning environments.
What are the most commonly searched types of Machine Learning Teaching jobs in Michigan? The most popular types of Machine Learning Teaching jobs in Michigan are:
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Machine Learning Teaching Assistant jobs near you
Assistant Professor- Teaching- Basic Engineering

Assistant Professor- Teaching- Basic Engineering

Wayne State University

Detroit, MI • On-site

Full-time

Posted 3 days ago

Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

242nd of 538 rated colleges and universities

Job description

Assistant Professor- Teaching- Basic Engineering
Wayne State University is searching for an experienced Assistant Professor- Teaching- Basic Engineering at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
The Basic Engineering Program in the College of Engineering at WayneState University invites applications for a non-tenure-track AssistantProfessor (Teaching) position, with an anticipated start date of August2026.
The position is primarily focused on undergraduate teaching, withopportunities for engagement in pedagogical innovation and scholarship. Thesuccessful candidate will report to the Director of the Basic EngineeringProgram.
The successful candidate will:
Serve as the primary instructor for multiple sections of an entry-level course in applied probability, statistics, and introductory data science for undergraduate engineering students.
Develop and deliver engaging, student-centered instructional sessions that reinforce lecture content and emphasize applied learning.
Prepare and evaluate quizzes, examinations, homework assignments, and projects.
Maintain regular office hours and provide academic support to students.
Supervise and provide guidance to teaching assistants and graders.
Conduct course assessment and document student learning outcomes in accordance with accreditation requirements.
Collaborate with college leadership and administrative units to support recruitment, retention, and student success initiatives.
Maintain current knowledge of developments in statistics, data science, and engineering education.
Qualifications:
PhD required in Engineering, Statistics, or Engineering Education with demonstrated experience in probability and statistics.
Candidates with a master's degree will be considered at the rank of Instructor-Teaching.
Evidence of effective teaching at the undergraduate and/or graduate level, or equivalent instructional experience.
Proficiency in Python programming
Experience utilizing AI-enabled tools in teaching, engineering education, or data analysis.
Familiarity with data analytics, data science, and machine learning concepts.
Demonstrated use of innovative, student-centered teaching methods.
Commitment to student success, service, and inclusive educational practices.
Applicants should submit the following materials:
Cover letter
Curriculum vitae
Teaching statement (including teaching experience and philosophy)
Proof of degree (official or unofficial transcripts acceptable at application stage)
Sample course syllabi and teaching evaluations (if available)
Contact information for up to three professional references familiar with the candidate's teaching ability
Preferred qualifications:
• Experience in course development and curriculum design• Proficiency in MATLAB programming• Experience with CAD software and additive manufacturing (3D printing)
School/College/Division:
H05 - College of Engineering
Primary department:
H0501 - Deans Office Engineering
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Academic/Faculty
Funding/salary information:
  • Compensation type: Annual Salary
  • Salary minimum: TBD
  • Salary hire maximum: TBD
Working conditions:
This position is covered under the collective bargaining agreement between WSU and the WSU Chapter of the American Association of University Professors, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.
Job openings:
  • Number of openings: 1
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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