ZipRecruiter

Log In

1

Best Paying Computer Science Jobs in Layton, UT (NOW HIRING)

next page

Showing results 1-20

All JobsBest Paying Computer Science JobsBest Paying Computer Science Jobs in Layton, UT

Best Paying Computer Science information

See Layton, UT salary details

$33.2K

$59.5K

$110.4K

How much do best paying computer science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for best paying computer science in Layton, UT is $59,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $63,100.00 per year, depending on experience, location, and employer.

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What are the key skills and qualifications needed to thrive in a best paying computer science role?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

What are common challenges faced by professionals in high paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What is the highest paying computer science job?

The highest paying computer science jobs are often executive roles such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), or specialized roles like Software Engineering Managers and Data Science Directors. These positions typically require extensive experience, advanced technical skills, and leadership responsibilities, with salaries often exceeding $150,000 annually and reaching into the high six figures or more in some industries.

What are popular job titles related to Best Paying Computer Science jobs in Layton, UT?

For Best Paying Computer Science jobs in Layton, UT, the most frequently searched job titles are:

What job categories do people searching Best Paying Computer Science jobs in Layton, UT look for?

The top searched job categories for Best Paying Computer Science jobs in Layton, UT are:

What cities near Layton, UT are hiring for Best Paying Computer Science jobs?

Cities near Layton, UT with the most Best Paying Computer Science job openings:

Best Paying Computer Science jobs near you
Infographic showing various Best Paying Computer Science job openings in Layton, UT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $59,484 per year, or $28.6 per hour.

Adjunct Instrutor (Artificial Intelligence for Business)

Salt Lake City, UT • On-site

Neumont College of Computer Science
Colleges, Universities, and Professional Schools • 51 - 200 employees
Learn more about Neumont College of Computer Scienceexternal

Full-time

Posted 12 days ago

Job description

As a Neumont instructor you will develop leadership and mentoring skills that will enhance your career. It can be a very rewarding experience as you see students start to understand complex subjects and gain confidence in their abilities.
Neumont University is looking to build our adjunct faculty team for our new Bachelor of Science in Artificial Intelligence for Business program.
The program combines business, technology, and applied artificial intelligence. Students learn how to use AI tools and technologies to solve business problems, automate processes, analyze data, build products and services, and identify new business opportunities.
We are looking for professionals with industry experience in one or more of the following areas:
  • Applied AI & Automation
    • Generative AI and large language models
    • AI agents and AI-enabled business solutions
    • Business process automation and workflow design
    • Low-code/no-code AI and development tools
    • Systems integration and APIs
  • Data & Technology
    • Data analytics and visualization
    • Data-driven decision-making
    • Applied machine learning
    • Databases and data modeling
    • Programming and scripting
  • Business & Management
    • Business strategy and operations
    • Finance and accounting
    • Sales, marketing, and customer success
    • Talent management and HR
    • Project management and agile methodologies
    • Technology strategy and digital transformation
    • Leading AI-augmented teams
  • Entrepreneurship & Product Development
    • Entrepreneurship and startup development
    • AI product development and product management
    • Business model design and monetization
    • SaaS, e-commerce, and digital businesses
    • Growth and customer acquisition
    • Venture capital and fundraising

  • AI Governance & Industry Applications
    • AI governance, compliance, ethics, and responsible AI
    • AI implementation within industries such as healthcare, financial services, manufacturing, retail, government, or education

TIME COMMITMENT:
  • Courses are 5 to 10 weeks long, depending on the course.
  • We make classes work around full-time work schedules as we offer AM and PM classes.
  • Adjuncts may spend up to 10 hours a week outside of class doing grading and familiarizing themselves with the curriculum. This time commitment lessens once they get the hang of teaching.

QUALIFICATIONS:
  • Bachelor's degree or higher in Business, Business Administration, Information Systems, Computer Science, Artificial Intelligence, Data Science, Analytics, or a related field
  • At least 4 years of relevant professional experience
  • Teaching experience preferred, but not required
  • Ability to work within the U.S. without sponsorship

ADVANTAGES TO BEING A NEUMONT FACULTY MEMBER:
  • Improve the lives of students from across the nation through the power of education.
  • Opportunity to give back through educating the next generation of tech experts.
  • Experience the "light" turn on in your student's eyes as you teach and they experience true understanding.
  • Be a part of a computer science institution that focuses on creating software engineers that can DO, not just theorize.
  • Develop your teaching/mentoring skills.

Faculty at Neumont University are responsible for educating students in accordance with the Neumont teaching methodology, which focuses on active learning and engaging students in the learning environment. Faculty members are also responsible for grading and providing valuable feedback to students in a timely manner, mentoring students in groups or individually, evaluating curriculum, adapting coursework and materials as necessary to meet student learning needs, and other activities related to effective instruction.
RESPONSIBILITIES, INCLUDING BUT NOT LIMITED TO:
  • Implement best practices in teaching and project-based learning
  • Submit all new teaching materials to Neumont vault upon completion of each course
  • Work with supervisor to identify areas for personal development and course improvement
  • Utilize feedback from mid-quarter and end-of-quarter evaluations to improve teaching
  • Identify innovative teaching methods to solve curricular problems
  • Teach material defined in the course description and syllabus
  • Maintain and meet the listed student learning goals
  • Utilize the Neumont LMS to keep an updated syllabus, course materials, and grades
  • Provide a safe learning environment for students
  • Answer and deal respectfully with student complaints and problems
  • Use effective assessments that measure student learning
  • Provide timely and accurate feedback to students� assignments, exams, projects, etc.

FAQ
I've never taught before, am I qualified to teach?
We hire industry professionals and help them learn how to be good teachers. Our project-based curriculum means fewer lectures and more hands-on practice. Instructors must have at least 4 years of industry experience and a bachelor's degree in a tech related field. An additional 4 years of outstanding experience and contributions to the field may be substituted for a formal degree.
Do I have to develop the curriculum?
You will use curriculum that has been developed and refined by previous Neumont instructors. We expect that you will share your individual perspective and experiences with the students to supplement the formal curriculum.
Does Neumont offer online courses?
No. Our classes are in-person as it makes for a better teaching/learning experience.
What is the process to get started?
All instructors will go through a formal application process which includes a short teaching demonstration. We will verify your work experience and educational credentials.
NU is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Neumont's Annual Security & Fire Safety Report is available online at https://www.neumont.edu/campus-safety under the Student Life section. This report is required by federal law to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and contains policy statements and crime statistics for the school. The policy statements address the school's policies, procedures and programs concerning safety and security. You may also request a paper copy from the Vice President, Student Affairs.

Apply