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Machine Learning Teaching Assistant Jobs in Murray, UT

Adecco

Machine Operator

American Fork, UT

$20/hr

This is a great opportunity to further your existing skills as Machine Operator while learning new ones to assist you in your career. The best part is you would be joining a winning culture with ...

Eliassen Group

Senior AI/ML Engineer

Salt Lake City, UT · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

In this role, you will participate in tasks that help improve machine learning models, including ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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All JobsMachine Learning Teaching JobsMachine Learning Teaching Assistant JobsMachine Learning Teaching Assistant Jobs in Murray, UT

Machine Learning Teaching Assistant information

See Murray, UT salary details

$12

$16

$21

How much do machine learning teaching assistant jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for machine learning teaching assistant in Murray, UT is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $18.08 per hour, depending on experience, location, and employer.

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 job categories do people searching Machine Learning Teaching Assistant jobs in Murray, UT look for? The top searched job categories for Machine Learning Teaching Assistant jobs in Murray, UT are:
What cities near Murray, UT are hiring for Machine Learning Teaching Assistant jobs? Cities near Murray, UT with the most Machine Learning Teaching Assistant job openings:
Machine Learning Teaching Assistant jobs near you
Global Banking & Markets - Salt Lake City- Associate, Data Analytics & Reporting- 10273143

Global Banking & Markets - Salt Lake City- Associate, Data Analytics & Reporting- 10273143

Goldman Sachs, Inc.

Salt Lake City, UT • On-site

$57K - $57K/yr

Full-time

Posted 11 hours ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Job Description
Job Duties: Associate, Data Analytics & Reporting with Goldman Sachs and Co. LLC in Salt Lake City, Utah. Function as a financial services business analyst responsible for performing and project managing data analytics (e.g., machine learning), monitoring portfolio health and identifying opportunities to drive industry leading operational excellence and exceptional customer experience. Leverage advanced modeling techniques to build forecasting models and machine learning techniques to understand the drivers of portfolio performance trends and identify solutions for improvements. Analyze data trends, utilize forecasting methods such as Time Series analysis, and leverage Machine Learning techniques such as Gradient Boost and Random Forest to perform deep dives and understand drivers and trends. Define functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle. Conduct process re-engineering and workflow design. Assist in the implementation of solutions to improve portfolio performance. Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments, and adhere to any new compliance guidance through monitoring new client, business and regulatory needs. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery. Work with desktop platforms and applications to ensure overall availability, while factoring in upstream or downstream system dependencies.
Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Industrial Engineering, or related field and three (3) years of experience in the job offered or in a related role. Prior experience must include three (3) years of experience with: working in a business analyst role within the financial services sector; defining functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle; process re-engineering and workflow design; and working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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