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History Artificial Intelligence Jobs (NOW HIRING)

Nwacc

... Artificial Intelligence programs, and future AI programs ... These courses introduce students to the principles, history, tools, and workplace applications of ...

NorthWest Arkansas Community College

... Artificial Intelligence programs, and future AI programs ... These courses introduce students to the principles, history, tools, and workplace applications of ...

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History Artificial Intelligence information

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$49.5K

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$74.5K

How much do history artificial intelligence jobs pay per year?

As of Sep 14, 2026, the average yearly pay for history artificial intelligence in the United States is $63,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $70,000.00 per year, depending on experience, location, and employer.

What is a History Artificial Intelligence specialist?

A History Artificial Intelligence specialist is a professional who uses artificial intelligence techniques and tools to analyze, interpret, and make sense of historical data and events. They may work on projects like digitizing historical documents, building AI models to uncover patterns in historical records, or developing educational tools that use AI to teach history. This role often combines expertise in history, data analysis, and machine learning. Specialists may work in academic research, museums, archives, or technology companies developing history-related AI applications.

How do professionals in History Artificial Intelligence typically collaborate with historians and data scientists on projects?

In the field of History Artificial Intelligence, professionals often work closely with historians to accurately interpret historical data and context, while also collaborating with data scientists to develop and refine AI models. This interdisciplinary teamwork ensures that AI systems are both technically robust and historically accurate. Regular meetings and collaborative workshops are common, allowing team members to align on project goals, share insights, and address challenges such as data scarcity or biases in historical records. This collaboration not only enriches the research process but also fosters professional growth through cross-disciplinary learning.

What are the key skills and qualifications needed to thrive as a History Artificial Intelligence specialist, and why are they important?

To excel as a History Artificial Intelligence Specialist, you need a solid background in history or digital humanities combined with expertise in AI, machine learning, and data analysis, often supported by an advanced degree in these fields. Familiarity with programming languages like Python, natural language processing (NLP) tools, and relevant AI frameworks is typically required. Strong research skills, critical thinking, and effective communication help you interpret historical data and collaborate with interdisciplinary teams. These skills ensure accurate AI-driven historical analysis, meaningful insights, and effective integration of technology in historical research.

What is the difference between History Artificial Intelligence vs Data Scientist?

AspectHistory Artificial IntelligenceData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of AI algorithmsDegree in Statistics, Computer Science, or related fields; proficiency in programming and analytics
Work EnvironmentResearch labs, tech companies, academiaCorporate, finance, healthcare, tech industries
Industry UsageDeveloping AI models to analyze historical data or simulate historical scenariosAnalyzing large datasets to extract insights and inform business decisions

While both roles involve data analysis and technical skills, History Artificial Intelligence focuses on applying AI techniques to historical data and research, whereas Data Scientists analyze diverse datasets to support business strategies. The roles share similar educational backgrounds but differ in their application areas and industry focus.

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What states have the most History Artificial Intelligence jobs?

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What job categories do people searching History Artificial Intelligence jobs look for?

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History Artificial Intelligence jobs near you
Infographic showing various History Artificial Intelligence job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $63,171 per year, or $30.4 per hour.

Part Time Faculty - Artificial Intelligence

Remote

Anderson University
See more jobs at Anderson Universityexternal

Part-time

Posted 9 days ago

Job description

Part-Time Doctoral Faculty - Artificial Intelligence
Ed.D. in Leadership and Artificial Intelligence
Anderson University's International Graduate School invites applications forpart-time doctoral faculty in Artificial Intelligenceto teach in the University'sDoctor of Education (Ed.D.) in Leadership and Artificial Intelligence.
The Ed.D. in Leadership and Artificial Intelligence is a professional doctorate designed for experienced professionals who will lead organizations through the opportunities, challenges, and transformations created by artificial intelligence. The program integrates advanced leadership study with artificial intelligence, digital transformation, cybersecurity, ethics, organizational innovation, and applied doctoral research.
Anderson University is particularly interested inscholar-practitioners and accomplished AI professionalswho combine appropriate doctoral credentials with significant real-world experience in artificial intelligence and related technologies.
Because artificial intelligence is a rapidly developing field, Anderson University values bothacademic preparation and substantive professional experience. Candidates are not required to hold a doctorate specifically titled "Artificial Intelligence". However, candidates must possess an earned terminal degree and demonstrate significant academic and/or professional expertise appropriate to the doctoral course or courses they would teach.
Areas of Teaching Need
Anderson University is recruiting faculty qualified to teach one or more of the following courses:
  • LEAI 701 - Foundations of AI: History and Development
  • LEAI 740 - Machine Learning and Generative AI
  • LEAI 750 - AI Ethics and Responsible Use
  • LEAI 760 - Cybersecurity, Privacy, and AI Risk Management
  • LEAI 770 - Leading Change through Digital Transformation and AI Innovation
  • LEAI 780 - Applied Doctoral Research Seminar in Leadership and AI
  • LEAI 790 - Capstone Project
Minimum Qualifications
Candidates must possess:
  • Anearned terminal degree(Ph.D., Ed.D., D.Sc., D.B.A., D.Eng., D.C.S., or other appropriate doctorate) from an appropriately accredited institution.
  • Graduate education, scholarship, research, and/or significant professional expertise related to the course or courses to be taught.
  • Demonstrated knowledge of contemporary artificial intelligence and its application within organizations.
  • The ability to teach and mentor students at the doctoral level in an academically rigorous and professionally relevant environment.
  • The ability to teach effectively in online, hybrid, and intensive-residency formats.
  • A commitment to supporting the mission and values of Anderson University.
Preferred Qualifications
Preference will be given to candidates demonstrating one or more of the following:
  • Significant professional experience implementing or leadingartificial intelligence initiatives in business, government, healthcare, education, technology, cybersecurity, consulting, nonprofit organizations, or other sectors.
  • Expertise ingenerative AI, large language models, machine learning, AI-enabled analytics, AI agents and workflows, predictive systems, or emerging AI technologies.
  • Experience withenterprise AI implementation, digital transformation, technology strategy, organizational innovation, or AI-enabled decision-making.
  • Expertise inAI governance, ethics, privacy, cybersecurity, regulatory compliance, responsible AI, or AI risk management.
  • Graduate or doctoral-level teaching experience.
  • Experience supervising dissertations, doctoral research, applied research, or executive-level capstone projects.
  • Evidence of continuing engagement with the rapidly evolving AI field through scholarship, applied projects, consulting, industry leadership, professional certifications, professional development, or other substantive activities.
The Scholar-Practitioner We Seek
The Ed.D. in Leadership and Artificial Intelligence is aprofessional doctorate. Anderson University therefore seeks faculty who can connect doctoral scholarship with contemporary organizational practice. Ideal candidates may include senior technology executives, artificial intelligence and data science leaders, cybersecurity professionals, consultants, researchers, entrepreneurs, government technology leaders, or experienced academics who possess both an appropriate terminal degree and demonstrated expertise in artificial intelligence.
Of particular interest are professionals who have participated directly in thedevelopment, implementation, management, governance, or strategic use of artificial intelligence within organizations. Our faculty should help doctoral students understand not simplywhat artificial intelligence can do, but how leaders canevaluate, implement, govern, secure, and responsibly use AI to improve and transform organizations.
Teaching in the Ed.D. Program
Faculty members will work with experienced professionals pursuing a practice-oriented doctoral degree. Depending upon course assignment, responsibilities may include:
  • Teaching doctoral courses in online and hybrid formats.
  • Connecting current AI developments with leadership and organizational practice.
  • Using case studies, applied projects, simulations, and contemporary organizational challenges.
  • Mentoring doctoral students in applied research.
  • Advising students as they translate research into organizational solutions.
  • Participating, when appropriate, in theResponsible AI Leadership Capstone, through which students address significant workplace, organizational, industry, or societal challenges using responsible applications of artificial intelligence.
Faculty teaching research and capstone courses may also guide students in research design, organizational analysis, implementation strategies, evaluation, and professional presentation of doctoral-level work.
About our Commitment to Fairness in Employment

Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources at hr@andersonuniversity.edu.

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