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How much do artificial intelligence consultant jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for artificial intelligence consultant in the United States is $54.60, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.22 per hour, depending on experience, location, and employer.

How much money do AI consultants make?

AI consultants typically earn between $80,000 and $150,000 annually, with experienced professionals or those in senior roles earning over $200,000. Salaries vary based on experience, location, industry, and the complexity of projects handled, often supplemented by skills in machine learning, data analysis, and programming languages like Python or R.

How do I become an AI consultant?

To become an AI consultant, you typically need a strong background in computer science, data science, or related fields, often with a bachelor's or master's degree. Gaining experience with machine learning, programming languages like Python, and AI tools such as TensorFlow or PyTorch is essential, along with developing problem-solving and communication skills. Certifications in AI or data science can also enhance your qualifications and credibility in the field.

What are the key skills and qualifications needed to thrive in the Artificial Intelligence Consultant position, and why are they important?

To thrive as an Artificial Intelligence Consultant, you need a strong background in machine learning, statistics, data analysis, and programming languages such as Python, often supported by a relevant degree in computer science or a related field. Experience with AI toolkits (like TensorFlow, PyTorch), cloud platforms (such as AWS, Azure), and certifications in AI or data science are highly valued. Excellent communication, problem-solving abilities, and project management skills set top candidates apart. These skills are crucial for effectively designing AI solutions and translating technical insights into actionable strategies for clients.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions such as AI executives, senior data scientists, or machine learning directors earning total compensation that includes salary, bonuses, and stock options. These roles often require advanced expertise in AI, extensive experience, and leadership skills, and are usually found in large tech companies or organizations investing heavily in artificial intelligence development.

What does an AI consultant do?

An AI consultant analyzes business needs and develops artificial intelligence solutions to improve processes, automate tasks, or enhance decision-making. They often work with machine learning models, data analysis tools, and programming languages like Python or R, and may require certifications in AI or data science. Their role involves advising clients on AI strategy, implementation, and integration within existing systems.

What does an Artificial Intelligence Consultant do?

An Artificial Intelligence Consultant helps businesses leverage AI technologies to improve processes, automate tasks, and drive innovation. They assess a company's needs, recommend AI solutions, and oversee implementation. Their role often includes data analysis, model development, and ensuring AI strategies align with business goals.

What are the typical daily responsibilities of an Artificial Intelligence Consultant?

As an Artificial Intelligence Consultant, your daily tasks often include meeting with clients to understand their business challenges, designing and prototyping machine learning models, analyzing data, and collaborating with technical teams on solution implementation. You may also spend time staying up-to-date with the latest AI innovations, preparing technical documentation, and mentoring junior team members. Regular communication with stakeholders is crucial to ensure alignment on project goals and deliverables. This role often involves a mix of independent analysis and teamwork, providing variety and continuous learning opportunities.

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Artificial Intelligence Consultant jobs near you
Infographic showing various Artificial Intelligence Consultant job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $113,566 per year, or $54.6 per hour.
Artificial Intelligence Consultant, DPS, Austin, Tx

Artificial Intelligence Consultant, DPS, Austin, Tx

Pedigo Staffing Services

Austin, TX • Hybrid

Per diem

Posted 3 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.