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How much do internship artificial intelligence consultant jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship artificial intelligence consultant in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What types of projects do internship artificial intelligence consultants typically work on during their internship?

As an Internship Artificial Intelligence Consultant, you will often be involved in projects such as data analysis, building and testing machine learning models, and developing AI-driven solutions for business problems. Interns typically collaborate with data scientists, software engineers, and clients to understand requirements and deliver actionable insights. You'll gain exposure to the full project lifecycle, from gathering and cleaning data to model deployment and performance evaluation. This hands-on experience helps you develop both technical and consulting skills, preparing you for more advanced roles in AI consulting.

What does an internship artificial intelligence consultant do?

An Internship Artificial Intelligence Consultant assists organizations with implementing AI technologies, analyzing data, and developing machine learning models under the guidance of experienced consultants. Interns typically work on various projects, such as creating predictive analytics tools, optimizing business processes with AI, or researching new AI trends and solutions. They also collaborate with cross-functional teams, contribute to technical documentation, and help clients understand how AI can solve their business challenges. This role provides hands-on experience in the rapidly evolving field of artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship artificial intelligence consultant?

To thrive as an Internship Artificial Intelligence Consultant, you need a solid understanding of machine learning concepts, programming skills (especially in Python), and a background in computer science or a related field. Familiarity with AI frameworks such as TensorFlow or PyTorch, data analysis tools, and relevant coursework or certifications are highly beneficial. Strong problem-solving abilities, effective communication, and teamwork set top candidates apart in collaborative and client-facing environments. These skills and qualifications are crucial for delivering actionable AI solutions and bridging technical knowledge with business needs.
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Internship Artificial Intelligence Consultant jobs near you
Infographic showing various Internship Artificial Intelligence Consultant job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 14% Part Time, and 21% Contract. Highlights an 36% In-person, 7% Hybrid, and 57% Remote job distribution, with an average salary of $38,082 per year, or $18.3 per hour.

Artificial Intelligence Consultant, DPS, Austin, Tx

Pedigo Staffing Services

Austin, TX • Hybrid

Per diem

Posted 20 days ago

Job description

Working Title: Artificial Intelligence Engineer  
Primary Work location: 5805 N Lamar Blvd, Austin, TX 78752
Agency: Texas Department of Public Safety 
Solicitation Reference Number: 40526R0024893    
Category: Applications/Software Development
Remote Policy: Must reside within 300 miles or 3-4 hours of work location.Required to go in office at least one (1) day a month as designated by DPS.
Hours: Monday through Friday from 8:00 AM through 5:00 PM, excluding State holidays when the agency is closed. Some nights and weekends as needed.  
Visa/Contracting Type: W-2 employment with benefits. Must be US Citizen, EAD, or Green Card Holder. No H1-B's, 1099's, or Corp-to-Corp.
Job Details: 
Required/Preferred Skills: 
  • 1 year - Required, Building and deploying components of the enterprise search tool.
  • 1 year - Required, Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system.
  • 1 year - Required, Supporting implementation and testing of AI agents aligned to business unit needs.
  • 1 year - Required, Developing technical controls, documentation, and processes required for AI governance adoption
Texas Department of Public Safety requires the services of 1 Artificial Intelligence/Machine Learning Engineer 1, hereafter referred to as Candidate(s), who meets the general qualifications of Artificial Intelligence/Machine Learning Engineer 1, Applications/Software Development and the specifications outlined in this document for the Texas Department of Public Safety.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Department of Public Safety  and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Department of Public Safety will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The Information Technology Division requests a short term staff augmentation to support critical artificial intelligence initiatives currently underway at the Texas Department of Public Safety (DPS). The requested AI/ML Engineer will supplement existing staff capacity and provide specialized expertise necessary to meet accelerated delivery timelines for multiple enterprise level priorities.
    Services shall be provided during normal business hours unless otherwise coordinated through the Texas Department of Public Safety. Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM, excluding State holidays when the agency is closed.
    The primary work location(s) will be at Hybrid / 5805 N. Lamar Blvd, Austin, Tx 78752. The working position is Hybrid - On Site and Telework. Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Department of Public Safety will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
    The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Department of Public Safety.
    DPS is simultaneously advancing four major objectives:
    • Implementing an enterprise search solution to improve information retrieval across DPS systems.
    • Deploying the AI inventory and monitoring system (Darwin).
    • Developing and operationalizing various AI agents to improve internal efficiency and public facing services.
    • Establishing and enforcing AI governance to ensure compliance with cybersecurity, privacy, and statewide technology policies.