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Computer Science Artificial Intelligence Jobs (NOW HIRING)

$185K - $215K/yr

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or related technical discipline. * 10+ years of experience in artificial intelligence, machine ...

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field * Demonstrated knowledge or experience with ...

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field * Demonstrated knowledge or experience with ...

$6.0K/mo

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field * Minimum 4 years of relevant professional experience in AI/ML (development or ...

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Computer Science Artificial Intelligence information

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$50.5K

$111.3K

$137.5K

How much do computer science artificial intelligence jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer science artificial intelligence in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a computer science artificial intelligence?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What does a typical day look like for someone working in computer science artificial intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in computer science artificial intelligence, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, which often require knowledge of programming languages like Python, machine learning algorithms, and data analysis. Many AI jobs also value practical experience, internships, and familiarity with tools such as TensorFlow or PyTorch.

What computer science artificial intelligence jobs are in high demand?

High-demand artificial intelligence jobs in computer science include AI engineer, machine learning engineer, data scientist, and research scientist. These roles often require skills in programming languages like Python, knowledge of deep learning frameworks, and experience with large datasets, with industries such as tech, healthcare, finance, and autonomous vehicles actively hiring for these positions.
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Cities with the most Computer Science Artificial Intelligence job openings:

What are the most commonly searched types of Computer Science Artificial Intelligence jobs?

The most popular types of Computer Science Artificial Intelligence jobs are:

What states have the most Computer Science Artificial Intelligence jobs?

States with the most job openings for Computer Science Artificial Intelligence jobs include:

Infographic showing various Computer Science Artificial Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Adjunct Instrutor (Artificial Intelligence for Business)

Salt Lake City, UT

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

Full-time

Posted 8 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.