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How much do artificial intelligence advisor jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for artificial intelligence advisor in the United States is $25.93, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $29.81 per hour, depending on experience, location, and employer.

What is an artificial intelligence advisor?

An Artificial Intelligence Advisor is a professional who provides expert guidance on the implementation, development, and ethical use of AI technologies within an organization. They assess business needs, recommend suitable AI solutions, and help integrate these technologies into existing systems. Their role often includes evaluating AI strategies, ensuring compliance with regulations, and staying up-to-date with the latest advancements in the field. AI Advisors bridge the gap between technical teams and business leaders to maximize the value and minimize the risks of AI adoption.

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

To thrive as an Artificial Intelligence Advisor, you need a strong background in computer science, data analysis, and machine learning, often supported by an advanced degree and relevant industry experience. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valuable. Strong communication, problem-solving, and stakeholder management skills help you translate complex AI concepts into actionable business strategies. These capabilities are crucial for successfully guiding organizations in leveraging AI technologies to drive innovation and achieve business objectives.

How does an artificial intelligence advisor typically collaborate with cross-functional teams within an organization?

An Artificial Intelligence Advisor frequently works alongside departments such as IT, data science, operations, and business strategy to identify opportunities for AI integration and innovation. Collaboration often includes translating business requirements into technical solutions, advising on the ethical use of AI, and guiding teams through implementation best practices. Effective communication and stakeholder management are crucial, as the advisor helps bridge the gap between technical teams and business leaders to ensure AI initiatives align with organizational goals.

How to become an artificial intelligence advisor?

To become an artificial intelligence advisor, individuals typically need a strong background in computer science, data science, or related fields, often with a master's or doctoral degree. Gaining experience in machine learning, programming languages like Python, and familiarity with AI tools and frameworks is essential, along with developing problem-solving and communication skills to advise organizations effectively.

What does an artificial intelligence advisor do?

An artificial intelligence advisor analyzes data and develops AI strategies to help organizations implement AI solutions. They often work with machine learning models, data analysis tools, and programming languages like Python to optimize AI systems and ensure they meet business goals.
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Artificial Intelligence Advisor jobs near you
Infographic showing various Artificial Intelligence Advisor job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $53,941 per year, or $25.9 per hour.

Artificial Intelligence Associate Attorney

Direct Counsel

Wilmington, DE • On-site, Remote

$235K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Associate Attorney – Artificial Intelligence

Direct Counsel is seeking an Associate Attorney to join a leading AmLaw 100 law firm’s rapidly growing Artificial Intelligence practice. This is a highly substantive, client-facing opportunity for an attorney with 2–4 years of experience who is interested in working at the intersection of artificial intelligence, emerging technology, regulation, litigation, and corporate transactions.

The ideal candidate will have experience in regulatory/advisory, corporate transactional, or litigation matters and be interested in developing a practice focused on cutting-edge AI issues. Candidates with either a litigation or corporate background are encouraged to apply, provided they are open to working across corporate, regulatory, and litigation matters.

Locations

Atlanta, GA; Austin, TX; Baltimore, MD; Boston, MA; Chicago, IL; Dallas, TX; Houston, TX; Los Angeles, CA; Miami, FL; Minneapolis, MN; New York, NY; Palo Alto, CA; Philadelphia, PA; Phoenix, AZ; Reston, VA; San Diego, CA; San Francisco, CA; Seattle, WA; Short Hills, NJ; Washington, DC; Wilmington, DE

Responsibilities

  • Advise clients on AI governance, regulatory compliance, and risk, including emerging AI transparency, disclosure, and regulatory requirements.

  • Monitor developments in AI law and regulation and translate emerging requirements into practical, client-ready guidance.

  • Support AI-related corporate and technology transactions, including due diligence, drafting and negotiating agreements, and identifying and mitigating AI-specific risks.

  • Develop subject matter expertise in AI issues within the corporate transactional context and serve as a resource to deal teams across the firm.

  • Conduct legal research and draft briefs, motions, memoranda, correspondence, and other high-quality legal work product in support of litigation and regulatory matters.

  • Support fact development, discovery, depositions, and case strategy in litigation and regulatory investigations.

  • Work collaboratively with attorneys across AI, corporate, litigation, and regulatory practices.

  • Build and maintain strong client relationships through effective communication and practical legal advice.

  • Stay current on emerging developments in artificial intelligence, technology, and related legal and regulatory frameworks.

Qualifications

  • J.D. from an accredited law school with strong academic credentials, preferably from a nationally recognized law school.

  • 2–4 years of relevant legal experience, preferably gained at an AmLaw 100 or other top-tier law firm.

  • Experience in one or more of the following areas: regulatory/advisory, corporate transactional, technology transactions, litigation, or regulatory matters.

  • Willingness and ability to work on a mix of corporate and litigation/regulatory matters.

  • Excellent legal research, writing, analytical, and problem-solving skills.

  • Strong judgment and attention to detail.

  • Excellent written and verbal communication skills.

  • Ability to produce polished, high-quality work product under tight deadlines.

  • Strong organizational skills and the ability to manage competing priorities.

  • Ability to work effectively both independently and collaboratively.

  • Admission, or eligibility for admission, in the relevant jurisdiction.

Preferred Qualifications

  • Genuine interest in artificial intelligence and emerging technology.

  • Prior experience advising on AI-related legal or regulatory issues.

  • Experience with technology transactions or AI-related corporate matters.

  • Experience with regulatory investigations or litigation involving emerging technologies.

Compensation & Benefits

The anticipated salary range for this position is $235,000–$310,000 per year, depending on experience, skills, educational and professional background, and overall qualifications. The firm offers a comprehensive benefits package, including medical, dental, vision, and 401(k) benefits.

Work Arrangement

This position offers a hybrid work arrangement combining remote and in-office work, with the specific arrangement determined at the time of hiring.