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Learning Assistant Jobs in Utah (NOW HIRING)

Tagup

Machine Learning Engineer

Salt Lake City, UT · On-site

$125K - $165K/yr

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

University of Utah

Athletics Assistant

Salt Lake City, UT · On-site

$17/hr

... Assistant Working Title Athletics Academic Services Intern Career Progression Track A Track Level ... Interns will become well-versed in academic advising, learning support strategies, disability ...

Unitek Learning

BSN Instructor- Full Time

Provo, UT · On-site

$17 - $21.25/hr

... learning * Maintains student records of attendance, skills check-off forms, and assist with program data collection * Submit required program reports and forms to the Director of the program in a ...

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How much do learning assistant jobs pay per hour?

As of May 28, 2026, the average hourly pay for learning assistant in Utah is $12.29, according to ZipRecruiter salary data. Most workers in this role earn between $9.98 and $13.23 per hour, depending on experience, location, and employer.

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

To thrive as a Learning Assistant, you generally need a solid understanding of educational principles, subject matter expertise, and at least a high school diploma or equivalent, with some positions requiring postsecondary education. Familiarity with classroom technology, learning management systems (LMS), and digital collaboration tools is often important. Exceptional communication, patience, and the ability to motivate and support students are critical soft skills. These competencies ensure effective support of teachers and students, fostering an inclusive and productive learning environment.

How do Learning Assistants typically collaborate with teachers and students in the classroom?

Learning Assistants work closely with teachers to support lesson delivery, often helping to facilitate group activities, provide one-on-one assistance to students, and manage classroom dynamics. They play a key role in reinforcing concepts presented by the teacher, answering student questions, and identifying individuals who may need additional help. Collaboration also involves regular communication with the teaching staff to discuss student progress and adjust instructional strategies as needed. This teamwork ensures a supportive and effective learning environment for all students.

What are Learning Assistants?

Learning Assistants are individuals who support students and instructors in educational settings, often in classrooms or labs. They help facilitate group activities, answer student questions, and provide additional guidance to enhance learning. Learning Assistants are typically undergraduate students trained to use active learning techniques to improve student engagement and understanding. Their role is to create a positive and supportive learning environment, working alongside faculty to help students succeed.

What is the difference between Learning Assistant vs Teaching Assistant?

AspectLearning AssistantTeaching Assistant
Required CredentialsOften undergraduate or graduate students, sometimes with specific trainingVaries; may include certifications or student status
Work EnvironmentAcademic settings, supporting active learning in classroomsClassrooms, labs, or online, assisting teachers or professors
Employer & IndustryEducational institutions, primarily colleges and universitiesSchools, colleges, universities, and training programs
Common Search & ComparisonLearning Assistant vs Teaching Assistant

Learning Assistants typically support active learning in higher education settings, often as students themselves, focusing on peer support and engagement. Teaching Assistants may have more formal instructional duties, including grading and classroom management. While both roles assist in educational environments, Learning Assistants emphasize peer-led support, whereas Teaching Assistants often work directly under faculty supervision to facilitate instruction.

What are the most commonly searched types of Learning jobs in Utah? The most popular types of Learning jobs in Utah are:
What cities in Utah are hiring for Learning Assistant jobs? Cities in Utah with the most Learning Assistant job openings:
Learning Assistant jobs near you
Machine Learning Engineer

Machine Learning Engineer

Tagup

Salt Lake City, UT • On-site

$125K - $165K/yr

Full-time

Posted 10 days ago

Job description

Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.


We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations.

This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance.

If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.
What You’ll Do
  • Develop, train, and optimize ML models for large-scale applications.
  • Build pipelines for data ingestion and model deployment.
  • Work with engineers and subject-matter experts to refine solutions.
  • Conduct testing and validation to ensure reliability.
  • Co-author technical reports on data analysis and model performance.
  • Continuously improve ML infrastructure and workflows.
  • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.
What We’re Looking For
  • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow.
  • Proven ability to deploy ML models into production and work with large, complex datasets.
  • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines.
  • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.
  • Familiarity with datastores (MySQL, Postgres, or MongoDB) and prior exposure to aviation, defense, or other safety-critical environments is a plus.
Salary

The estimated salary range for this position is between $125,000 and $165,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees’ experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions.

As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company’s 401K plan, and foster a team-oriented work environment with regular company outings!

Why Join Us?

This is your opportunity to move beyond academic experiments and build AI models that make a real difference in defense and industry. At Tagup, you’ll work with a world-class, agile team in a supportive environment that encourages rapid iteration and continuous learning.

Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.

Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.