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Artificial Intelligence Part Time Jobs in Utah (NOW HIRING)

Rowan

Sales Associate

Murray, UT · On-site

$15 - $19/hr

... Part-Time Benefits & Perks * Compensation: $15-19 per hour + commission! * 401k and Roth IRA Plans * Employee discounts on our amazing products! $15 - $19 an hour We may use artificial intelligence ...

Rowan

Sales Associate

Murray, UT

$15 - $19/hr

... Part-Time Benefits & Perks * Compensation: $15-19 per hour + commission! * 401k and Roth IRA Plans * Employee discounts on our amazing products! We may use artificial intelligence (AI) tools to ...

Rowan

Sales Associate

Murray, UT

$15 - $19/hr

... Part-Time Benefits & Perks * Compensation: $15-19 per hour + commission! * 401k and Roth IRA Plans * Employee discounts on our amazing products! $15 - $19 an hour We may use artificial intelligence ...

Clozd

Associate

Lehi, UT · On-site

Passionate about learning and using new software and technologies * Part-time (20-25 hours per week ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Clozd

Associate

Lehi, UT · On-site

Passionate about learning and using new software and technologies * Part-time (20-25 hours per week ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Clozd

Associate

Lehi, UT · On-site

Passionate about learning and using new software and technologies * Part-time (20-25 hours per week ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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All JobsArtificial Intelligence JobsArtificial Intelligence Part Time JobsArtificial Intelligence Part Time Jobs in Utah

Artificial Intelligence Part Time information

See Utah salary details

$18.5K

$104.4K

$192.2K

How much do artificial intelligence part time jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence part time in Utah is $104,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,073.00 and $141,199.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an artificial intelligence part time position?

To excel in an Artificial Intelligence Part Time role, you typically need a background in computer science, mathematics, or data science, along with experience in machine learning frameworks and programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and proficiency in data analysis or AI methodologies, as well as relevant certifications (e.g., AI, Machine Learning), are often desired. Strong problem-solving skills, effective communication, and the ability to work independently make candidates stand out. These skills and qualities are crucial for efficiently contributing to AI projects, coordinating with team members, and balancing project demands within limited part-time hours.

Can I get an artificial intelligence part time job with no experience?

Artificial intelligence part-time jobs often require some foundational knowledge of programming, data analysis, or machine learning, but entry-level positions may be available for those with minimal experience. Gaining skills through online courses, certifications, or internships can improve chances of securing such roles, which may involve tasks like data labeling or assisting with AI projects. Having a basic understanding of tools like Python or TensorFlow can be beneficial.

What is an artificial intelligence part time job?

An Artificial Intelligence Part Time job involves working on AI-related tasks, such as machine learning, data analysis, or software development, on a flexible or reduced-hour basis. These roles are ideal for students, freelancers, or professionals looking to gain experience in AI without committing to a full-time position. Responsibilities may include developing algorithms, training models, analyzing datasets, or supporting AI research. Many part-time AI jobs are remote, providing flexibility in work location and hours.

What does a typical work schedule or workload look like for a part-time artificial intelligence position?

Part-time Artificial Intelligence roles often offer flexible hours, allowing you to work around other commitments or academic schedules. Typically, you might spend 15–25 hours per week on tasks such as coding, analyzing datasets, training models, or reviewing project documentation. Expect to collaborate regularly with a remote or hybrid team, participate in virtual meetings, and provide frequent project updates. Work assignments are usually project-based, with clear milestones to meet within your allocated hours. This structure allows you to gain valuable industry experience while managing your workload effectively.

What is the easiest artificial intelligence part time job to get?

Entry-level artificial intelligence part-time roles often include data labeling, annotation, or basic data entry tasks that require minimal experience and can be performed remotely. These positions typically involve using tools like labeling platforms and may require basic understanding of AI concepts or software. They are generally accessible to beginners and offer flexible schedules.
What are the most commonly searched types of Artificial Intelligence jobs in Utah? The most popular types of Artificial Intelligence jobs in Utah are:
What are popular job titles related to Artificial Intelligence Part Time jobs in Utah? For Artificial Intelligence Part Time jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Part Time jobs in Utah look for? The top searched job categories for Artificial Intelligence Part Time jobs in Utah are:
What cities in Utah are hiring for Artificial Intelligence Part Time jobs? Cities in Utah with the most Artificial Intelligence Part Time job openings:
Artificial Intelligence Part Time jobs near you
Infographic showing various Artificial Intelligence Part Time job openings in Utah as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $104,442 per year, or $50.2 per hour.

Data Scientist (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING)

U.S. Department of Defense (DOD)

Hill Air Force Base, UT • On-site

$125K/yr

Full-time, Part-time

Posted 3 days ago

New

U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense

Job description

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806
Qualifications:To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.Employment Type: OTHER

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