JISARA

Abstract: Artificial intelligence continues to transform the workforce. Educators, job seekers, and policymakers need to understand the changing needs of AI-related job roles. This study examines 435 AI job postings on PostJobsFree.com utilizing text mining techniques that include word frequency analysis, TF-IDF, Named Entity Recognition (NER), and Linguistic Inquiry and Word Count (LIWC). The analysis shows that the job posts are requesting a well-rounded skill set that includes both technical skills - such as Data Science and Natural Language Processing – with durable skills such as teamwork, communication, problem solving, and interpersonal skills. The most used words are AI, Data, and Team. TF-IDF displays more domain-specific words, such as Generative AI and AI Models. NER indicates the importance of tools (such as Python and AWS) and security clearances for DOD personnel. LIWC shows that the descriptions are extremely analytical and achievement oriented. These findings suggest that companies continue to value core technical proficiency while also looking for applicants who can work in complex, interdisciplinary environments. This study adds to the literature on AI labor market trends and provides insights into the AI industry's dynamic demands. In addition, this study can be used by both job seekers aiming for AI positions and employers seeking professionals in the AI field. The results can assist job seekers in identifying the necessary technical skills they need to develop to obtain specific AI jobs. Employers can use the result to have a better understanding of the essential skill sets to look for in candidates applying for AI related positions.

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Recommended Citation: Peslak, A., Ceccucci, W., Jones, K., Gachau, M.W., (2026). Examining Artificial Intelligence Job Descriptions: An Analysis of Current Job Postings. Journal of Information Systems Applied Research and Analytics 19(2) pp 25-35. https://doi.org/10.62273/CCJX2208