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Learning Assistant Jobs in Utah (NOW HIRING)

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

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Learning Assistant information

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How much do learning assistant jobs pay per hour?

As of Sep 9, 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 is a learning assistant?

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 skills and qualifications are needed to thrive as a learning assistant?

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 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.

How much do learning assistants get paid?

Learning assistants typically earn between $10 and $20 per hour, depending on the institution, location, and experience. Some roles may also include stipends or academic credit, and the position often requires strong communication and organizational skills.

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
Infographic showing various Learning Assistant job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $25,563 per year, or $12.3 per hour.

Summer 2027 Intern - Machine Learning Engineering

On-site, Remote

Workiva
Software Development • 1 - 5K employees
Learn more about Workivaexternal

$40/hr

Full-time, Temporary, Internship

Retirement

Posted 10 days ago

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies

Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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