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Per Diem Artificial Intelligence Machine Learning Jobs in Colorado

Vizient

AVP, Machine Learning & Modeling

Englewood, CO · On-site

$156K - $290K/yr

... artificial intelligence solutions to drive data-informed decision-making across the enterprise ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

STI

Artificial Intelligence ("AI") Architect

Denver, CO · On-site +1

Bachelor's degree in computer science, data science, or a related field. * 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning ...

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

$110 - $160/hr

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Cymertek

AI/ML Engineer

Aurora, CO · On-site

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

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Per Diem Artificial Intelligence Machine Learning information

What does a per diem artificial intelligence machine learning professional do?

A Per Diem Artificial Intelligence Machine Learning professional works on a temporary or as-needed basis to develop, implement, and optimize AI and machine learning models. Their responsibilities may include data analysis, model training, algorithm development, and collaborating with teams to solve specific problems using AI solutions. This role provides flexibility for both the employer and the professional, often focusing on short-term projects or filling gaps in expertise. Per diem positions are common in organizations needing specialized skills for particular tasks without committing to a full-time hire.

What are the key skills and qualifications needed to thrive as a per diem artificial intelligence machine learning professional?

To thrive as a Per Diem Artificial Intelligence Machine Learning Specialist, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a degree in a related field. Proficiency in programming languages like Python or R, familiarity with ML frameworks such as TensorFlow or PyTorch, and experience using cloud platforms are typically required. Strong problem-solving abilities, adaptability, and effective communication skills set top performers apart in this flexible role. These competencies enable specialists to swiftly deliver impactful AI solutions and collaborate well on diverse, project-based teams.

How does the flexible, per diem schedule impact project involvement and collaboration for artificial intelligence machine learning professionals?

Per diem AI/ML roles typically offer flexibility, allowing professionals to work on specific projects or tasks as needed. This structure means you may often collaborate remotely with cross-functional teams, contributing your expertise to targeted components rather than full project lifecycles. While this provides excellent work-life balance and exposure to diverse challenges, it also requires strong communication skills to stay aligned with rapidly evolving team goals. Additionally, per diem positions can serve as valuable opportunities for networking and building a varied portfolio, potentially leading to more permanent or advanced roles.

What is the difference between Per Diem Artificial Intelligence Machine Learning vs Per Diem Data Scientist?

AspectPer Diem Artificial Intelligence Machine LearningPer Diem Data Scientist
CredentialsTypically requires a degree in AI, ML, or related fields; certifications like TensorFlow or AWSRequires a degree in data science, statistics, or related fields; certifications like SAS, Python, or R
Work EnvironmentOften in tech companies, research labs, or healthcare; project-based, flexible hoursIn corporate, finance, or healthcare sectors; data analysis-focused, project-based
Industry UsageUsed in AI development, automation, and advanced analyticsUsed in data analysis, reporting, and predictive modeling

Per Diem Artificial Intelligence Machine Learning roles focus on developing AI and ML models, often requiring specialized technical skills. Per Diem Data Scientist positions emphasize analyzing data to inform business decisions. While both roles involve data and analytics, AI/ML roles are more technical and development-oriented, whereas Data Scientist roles focus on data interpretation and reporting.

What jobs can I get with artificial intelligence and machine learning?

With expertise in artificial intelligence and machine learning, you can pursue roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Colorado?

The most popular types of Artificial Intelligence Machine Learning jobs in Colorado are:

What are popular job titles related to Per Diem Artificial Intelligence Machine Learning jobs in Colorado?

For Per Diem Artificial Intelligence Machine Learning jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Per Diem Artificial Intelligence Machine Learning jobs in Colorado look for?

The top searched job categories for Per Diem Artificial Intelligence Machine Learning jobs in Colorado are:

What cities in Colorado are hiring for Per Diem Artificial Intelligence Machine Learning jobs?

Cities in Colorado with the most Per Diem Artificial Intelligence Machine Learning job openings:

Per Diem Artificial Intelligence Machine Learning jobs near you
Infographic showing various Per Diem Artificial Intelligence Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Professional Research Assistant

University of Colorado Boulder

Boulder, CO • On-site

$40K - $55K/yr

Full-time, Part-time

Medical, Dental, Retirement, PTO

Re-posted 13 days ago

University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

150th of 628 rated colleges and universities

Job description

Requisition Number:

73573

Location:

Boulder, Colorado

City

Boulder

State

Colorado

Employment Type:

Research Faculty

Schedule:

Part-Time

Date Posted:

22-Jul-2026
Close All
Job Summary

The experimental heavy ion group at the University of Colorado Boulder invites applications for a person to conduct research under the direction of Professors Jamie Nagle and Dennis Perepelitsa. The group is involved in the sPHENIX and ATLAS experimental efforts and has an interest in the future ePIC experiment. The candidate is expected to work on artificial intelligence / machine learning centered efforts that also couple to physics analysis efforts.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are

The experimental heavy ion group at the University of Colorado Boulder has leading roles in the sPHENIX experiment at the Relativistic Heavy Ion Collider and the ATLAS experiment at the Large Hadron Collider, and is a member of the ePIC experiment at the future Electron Ion Collider. The group is led by Professors Jamie Nagle and Dennis Perepelitsa. We place a strong emphasis on the scientific productivity and career development of junior group members.

What Your Key Responsibilities Will Be
  • The person will be involved in leading experimental efforts within the research group, which may include artificial intelligence / machine learning centered efforts and physics data analysis.
What You Should Know
  • The position may be based in Boulder or under special circumstances other locations depending on the particular role, with travel to other locations for experimental work or conferences/workshops as appropriate.
What We Can Offer
  • The appointment may range from 50% to 100% FTE, with an annual salary range of $40k-55k.
  • Moving reimbursement for up to $1,000. Payment contingent on actual expenses incurred.
Benefits

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.

Be Statements
Be ambitious. Be pioneering. Be Boulder.
What We Require
  • An undergraduate degree in physics or in a related field with relevant experience in artificial intelligence / machine learning with applications in physics.
  • During the application process you will need to enter contact information for one reference. Please arrange for them to be equally sent to the following email: jamie.nagle@colorado.edu
  • Review of the applications will begin immediately and will continue until the position(s) are filled. For any questions, please contact jamie.nagle@colorado.edu
Special Instructions
To apply, please submit the following materials:
  1. Resume or CV
  2. Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.

During the application process you will need to enter contact information for a reference who may be contacted to provide a letter of recommendation and additional materials, if needed, as the search progresses.


For full consideration, please apply by August 15, 2026. The position will remain posted until filled.

Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs. 

In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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