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Math Teaching Assistant Jobs in Logan, UT (NOW HIRING)

Math Teaching Assistant information

See Logan, UT salary details

$19.8K

$47.8K

$68.1K

How much do math teaching assistant jobs pay per year?

As of Aug 13, 2026, the average yearly pay for math teaching assistant in Logan, UT is $47,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $53,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a math teaching assistant, and why are they important?

To thrive as a Math Teaching Assistant, you need strong mathematical knowledge, tutoring skills, and at least a bachelor's degree or progress toward one in mathematics or a related field. Familiarity with educational software, learning management systems (like Canvas or Blackboard), and tools such as Microsoft Excel or Google Classroom is often required. Patience, effective communication, and the ability to motivate and support diverse learners are crucial soft skills. These competencies enable Math Teaching Assistants to reinforce student understanding, foster engagement, and support classroom instruction effectively.

How does a math teaching assistant typically support classroom instruction and student learning?

As a Math Teaching Assistant, you'll work closely with the lead teacher to facilitate lessons, clarify mathematical concepts for students, and provide individualized or small-group support as needed. Your daily responsibilities may include helping to prepare teaching materials, assisting with grading assignments, and answering student questions during class or office hours. Collaboration with other teaching assistants and educators is common to ensure consistent support for students and to share effective strategies. This role offers a great opportunity to develop your instructional skills and gain practical experience in educational settings, often serving as a stepping stone to a full-time teaching position.

What is the difference between Math Teaching Assistant vs Math Tutor?

AspectMath Teaching AssistantMath Tutor
Required CredentialsHigh school diploma or associate degree; some positions may require coursework in education or mathVaries; often self-employed or freelance, with or without formal credentials
Work EnvironmentSchool classrooms, assisting teachers during lessonsPrivate sessions, online platforms, or tutoring centers
Employer & Industry UsageEducational institutions, public and private schoolsPrivate clients, tutoring companies, online platforms
Common Search & Comparison IntentUnderstanding roles within schools, job requirements, and responsibilitiesFinding personalized help, flexible scheduling, or freelance opportunities

While both roles support students in learning math, a Math Teaching Assistant typically works within a school setting assisting teachers, whereas a Math Tutor often works independently or through tutoring services providing one-on-one instruction outside the classroom.

What is a math teaching assistant?

Math teaching assistants are individuals who support math teachers and professors in delivering instruction, tutoring students, grading assignments, and managing classroom activities. They often help clarify difficult concepts, assist with lesson preparation, and provide additional support to students who need extra help. Math TAs can work in K-12 schools, colleges, or universities, and may be undergraduate or graduate students themselves. Their role is crucial in creating a positive learning environment and ensuring all students have the resources they need to succeed in math.

What job categories do people searching Math Teaching Assistant jobs in Logan, UT look for?

The top searched job categories for Math Teaching Assistant jobs in Logan, UT are:

What cities near Logan, UT are hiring for Math Teaching Assistant jobs?

Cities near Logan, UT with the most Math Teaching Assistant job openings:

Infographic showing various Math Teaching Assistant job openings in Logan, UT as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $47,759 per year, or $23 per hour.

AI and Machine Learning Assistant Professor/Professional Practice Assistant Professor

Utah State University

Logan, UT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Utah State University rating

7.2

Company rating: 7.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

384th of 618 rated colleges and universities


Job description

Overview
Utah State University's Department of Electrical and Computer Engineering (ECE) invites applications to fill two faculty positions in Artificial Intelligence and Machine Learning (AI/ML): one tenure-track position (research and teaching) and one professional practice position (teaching emphasis). It is expected that these positions will be filled at either the Assistant or Associate Professor level. We seek applicants with cross-disciplinary backgrounds whose expertise lies at the intersection of AI/ML and electrical engineering. Preference will be given to applicants whose research and/or work experience applies AI/ML to problems in electrical engineering including but not limited to:
  • Signal processing, communications, radar
  • Control, robotics, drones/UAVs
  • Electromagnetics, antennas
  • Speech and natural language processing
  • Remote sensing, computer vision
  • Electric power systems
  • Cybersecurity, computer networks, cryptography

The search committee will begin reviewing applications on November 1, 2024, and continue until the position is filled. Possible start dates, coinciding with USU's semester schedule, are January 2025 and August 2025.
Responsibilities
Successful candidates for the tenure-track position will be expected to develop an externally funded research program that includes peer-reviewed publications and graduate student mentorship. Both tenure-track and professional practice positions are expected to effectively teach undergraduate and graduate courses, actively participate in assigned department and university duties, and serve their professional society. Ideal candidates will have an interest in developing new courses and degree programs in AI/ML and its applications to engineering.
Qualifications
Minimum Qualifications - Tenure Track Appointment
  1. An earned doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or a closely related discipline.
  2. An ability to conduct and disseminate research that applies AI/ML to problems in the electrical engineering domain.
  3. An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate's specific area of research emphasis in accordance with departmental needs.
  4. An ability to apply for and secure ongoing external funding.

Preferred Qualifications - Tenure Track Appointment
  1. Preference will be given to candidates with experience building and deploying AI/ML systems.

Minimum Qualifications - Professional Practice Appointment
  1. An earned MS degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent work experience.
  2. Strong industrial, commercial, consulting, or research experience in AI/ML systems.
  3. An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate's specific area of research emphasis in accordance with departmental needs.
  4. Effective written and oral communication skills.
  5. Demonstrated strong organizational skills.

Preferred Qualifications - Professional Practice Appointment
  1. Effective teaching or mentoring experience.
  2. Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or a closely related discipline.

Required Documents
Along with the online application, please attach:
  1. Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under "Resume/CV".

The documents listed below to be uploaded at the beginning of your application in the Candidate Profile under "Documents 1-10":
  1. Cover letter summarizing your motivation, qualifications, experience, and career goals.
  2. A concise statement of your proposed research program including how your research synthesizes AI/ML and engineering topics.
  3. A brief teaching statement that explains your approach to teaching and describes AI/ML courses you would like to develop and existing ECE courses you would like to teach.
  4. Names and contact information of three professional references (reference letters will only be solicited from final candidates).

**Document size may not exceed 10 MB.**
Advertised Salary
Commensurate with experience, plus excellent benefits
ADA
Employees typically work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes.
College/Department Highlights
The Department of Electrical and Computer Engineering (http://ece.usu.edu) offers BS, ME, MS, and PhD degrees. It has approximately 20 tenured/tenure track faculty, 100 graduate students, and 300 undergraduate students. The ECE Department offers strong graduate programs at the masters and PhD levels.
University Highlights
Founded in 1888, Utah State University is Utah's premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.
USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State's 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.
Competing at the NCAA Division I level in 16 sports, USU is a proud member of the Pac-12 Conference, officially joining on July 1, 2026. The Aggies capped a historic final season in the Mountain West by capturing nine combined regular-season and tournament titles in 2025-26, with five teams advancing to postseason play. This tradition of excellence extends to the classroom, where 232 student-athletes earned academic honors, and to the community, where USU ranked second nationally in Division I service hours, with nine teams placing in the top 10 for community service.
Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU.
The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university's ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu.
*updated 07/2026
Notice of Non-discrimination
In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.
Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law.
Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities.
In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.
The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU's non-discrimination policies:
Matthew Pinner
Executive Director
Civil Rights & Title IX Office
matthew.pinner@usu.edu
435-797-1266 | Old Main Rm. 401D
1475 Old Main Hill, Logan, UT 84322
Cody Carmichael
Title IX Coordinator
cody.carmichael@usu.edu
435-797-1266 | Old Main Rm. 402D
1475 Old Main Hill, Logan, UT 84322
For further information regarding non-discrimination, please visit crtix.usu.edu or contact:
U.S. Department of Education
Denver Regional Office
303-844-5695| OCR.Denver@ed.gov
U.S. Department of Education
Office of Assistant Secretary for Civil Rights
800-421-3481 | OCR@ed.gov
*updated 10/2025

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