AI Educator

Mississippi State UniversityStarkville, MS
Onsite

About The Position

The AI Educator builds practical AI capability among Mississippi State University staff. The role delivers a recurring schedule of hands-on workshops, partners with individual departments to identify high-value AI use cases, and helps staff design and adopt non-code automations that improve day-to-day operations. The work is customer-facing and service-oriented: success is measured by what departments can do differently after engaging with the team. This position is part of MSU's expanding AI training and adoption team, housed in the College of Professional and Continuing Studies and works in close coordination with the Senior Advisor for AI and Data Governance. The team's mission is to take AI from concept to practice inside individual departments and to scale.

Requirements

  • Bachelor's degree in a job-related field and 2+ years of relevant experience. Equivalent combinations of education and experience will be considered.
  • Demonstrated knowledge and abilities with current generative AI tools and a clear point of view on how to teach them to non-technical adult learners.
  • Strong workshop facilitation and adult-learning skills.
  • Excellent written and verbal communication; ability to translate technical concepts into plain language.

Nice To Haves

  • Prior experience designing or delivering technology training in a higher-education or large-enterprise setting.
  • Experience building non-code automations in Microsoft Power Platform, Copilot Studio, ChatGPT, Claude, or similar.
  • Familiarity with AI ethics, data classification, and responsible-use frameworks.

Responsibilities

  • Plan and deliver AI workshops, including general literacy sessions, tool-specific training (Microsoft Copilot, Claude, ChatGPT, Gemini), and prompt engineering practicums.
  • Develop and continuously refresh workshop curricula, hands-on exercises, quick-reference guides, and self-serve learning resources tailored to non-faculty staff audiences.
  • Conduct on-request department trainings and consultations: listen for pain points, identify AI-fit opportunities, and recommend appropriate next steps (training, automation, or referral to the AI Builder for technical deployment).
  • Develop resources to share via websites, social media, the MSU AI Community Team, and other outlets.
  • Design and help implement non-code automations using tools such as Power Automate, Copilot Studio, and equivalent platforms.
  • Track participation, follow-up, and outcome data; contribute to monthly reporting on team activity and impact.
  • Stay current on enterprise AI platforms in MSU's portfolio and on emerging tools, sharing relevant updates with the team and across campus.
  • Represent the team at MSU and in-state AI convenings; participate in select national professional development (e.g. UF AI Summit).
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