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How much do history artificial intelligence jobs pay per year?

As of Aug 23, 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 They may work on projects like digitizing historical documents, building AI models to uncover patterns in historical records, or developing educational tools that use AI to teach history.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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Infographic showing various History Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 7% Part Time, and 29% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $63,171 per year, or $30.4 per hour.

Assistant Professor in Fine Arts: Artificial Intelligence and Artistic Practice

College of Fine Arts

Austin, TX โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Description
The College of Fine Arts invites applications and nominations for an accomplished artist and arts pedagogue to join the faculty. We seek a tenure-track faculty member whose creative practice adopts artificial intelligence technologies to produce artistic objects and/or environments. Area of creative practice is open to any art form in the visual and performing arts on offer in the college (studio art, theatre, dance, music, and/or design). We are especially interested in artists with substantial media integration into object-based installations or live performance settings (e.g. immersive and projection technologies; intermedia performance; installation art; large data informed art). An ability to think and practice broadly across art genres while sustaining a focused practice of national impact is key to the success of this position.
This position is part of a broader effort at The University of Texas at Austin to advance knowledge and practical integration of artificial intelligence technologies across the campus and a college-level effort to address the significant ways artificial intelligence is transforming artistic practice and research about the arts and design fields. The ideal candidate will impart training and mentorship in their area of creative practice while offering broader technical training to artists and designers across the college and the university on the use of artificial intelligence as a tool for art making. Integration of appropriate historical, critical, and ethical perspectives on artificial intelligence will be crucial to the successful integration of technology to the creative fields.
The selected candidate will assume a tenure-track line position in one of four departmental units in the college (Art and Art History; Design; Theatre and Dance; or the Butler School of Music) but will be charged with developing curricula of service to the entire college. Candidates should also expect to collaborate with colleagues in the Moody College of Communication and the School of Architecture, while inhabiting an arts-specific home in the College of Fine Arts. This position requires relocation to Austin, TX. Salary is commensurate with experience. The start date is August 2026.
About the College and University:
The College of Fine Arts has approximately 300 faculty, 1,600 undergraduate, 200 masters, and 180 doctoral students. The college offers BA, BFA, BM, BS, MA, MM, MFA, DMA, and PHD degrees in a variety of practice-based and scholarly disciplines, as well as an Artist's Diploma and K-12 teaching certification. The college strives to educate the next generation of creative leaders and endeavors to generate new knowledge of benefit to society. The college fosters is an expansive understanding of creativity as not only being crucial to traditional artistic practices but also to innovation in science, health, business and beyond. COFA champions and preserves many artistic traditions and repertoires, while also re-imagining them and welcoming new ones.
The University of Texas at Austin is a flagship, public, land grant, tier-one research institution, situated in Austin, Texas, a dynamic metropolitan area with a growing economy, ample outdoor recreation, many cultural advantages through its numerous arts organizations, and is home to a very active and creative arts and design scene.
Qualifications
Candidates are expected to hold a terminal degree in their respective discipline (e.g. MFA, PhD, DMA) from an accredited institution. The candidate will also show a record of performance or exhibition demonstrating viability towards nationally or internationally significant contributions to their field. Demonstrated proficiency in technology integration into arts practice and pedagogy and evidence of leading successful collaborative efforts in the arts will be key. Prior experience and demonstrated proficiency in teaching and mentoring students at graduate and undergraduate levels are preferred.
Application Instructions
Application review will begin February 23, 2026, and will continue until the position is filled. Applicants should submit the following materials online:
  1. A cover letter stating interest and experience, including articulation of the technology integration opportunities evident in their creative practice and teaching portfolios;
  2. A curriculum vitae;
  3. A PDF portfolio of creative work and any related scholarly research;
  4. A teaching portfolio that showcases both proficiency in the anchor artistic practice of the candidate and demonstrating technology integration (including artificial intelligence). Sample syllabi, assignment prompts, and student work are encouraged;
  5. Names and contact information for three references. We will only contact references of the finalists.

All application reviews will be conducted with materials submitted through Interfolio by clicking the "Apply Now" button. Please do not submit hard copy materials.