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Generative Ai Instructor Jobs in Utah (NOW HIRING)

Generative Ai Instructor information

What does a Generative AI Instructor do?

A Generative AI Instructor is responsible for teaching individuals or groups about generative artificial intelligence technologies, such as machine learning models that create new content (text, images, audio, etc.). They design curriculum, lead workshops, and provide hands-on demonstrations to help students understand how to build, fine-tune, and deploy generative AI models. Additionally, they stay updated on the latest advancements in AI and help learners understand ethical considerations and real-world applications of generative AI.

What are some common challenges Generative AI Instructors face when teaching complex concepts to diverse learners?

Generative AI Instructors often encounter the challenge of breaking down advanced machine learning and artificial intelligence concepts into digestible lessons for students with varying backgrounds. Balancing the technical depth required for industry relevance with accessibility for beginners requires flexible teaching strategies and strong communication skills. Additionally, keeping course materials up-to-date with the rapidly evolving AI landscape is essential, which means instructors must continually learn and adapt their curriculum. Collaboration with peers and industry professionals is common to ensure content accuracy and relevance.

What are the key skills and qualifications needed to thrive as a Generative AI Instructor, and why are they important?

To thrive as a Generative AI Instructor, you need a deep understanding of machine learning, natural language processing, and AI concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and platforms such as Jupyter Notebook is typically required, along with experience using generative AI frameworks and models. Strong communication, adaptability, and the ability to simplify complex topics for diverse learners are important soft skills in this role. These skills ensure effective teaching, empower students to grasp advanced AI concepts, and keep coursework relevant in a fast-evolving field.

What is the difference between Generative Ai Instructor vs Data Scientist?

AspectGenerative Ai InstructorData Scientist
Required CredentialsAI/ML certifications, teaching experienceStatistics, programming, data analysis degrees
Work EnvironmentEducational settings, online platformsResearch labs, tech companies, finance
Employer & Industry UsageEdTech, training programsTech firms, finance, healthcare

While both roles involve AI expertise, a Generative Ai Instructor primarily focuses on teaching and training others in generative AI techniques, often within educational or training environments. In contrast, a Data Scientist analyzes data to derive insights and build models across various industries. Both roles require strong technical skills, but their core responsibilities and work settings differ significantly.

What are popular job titles related to Generative Ai Instructor jobs in Utah? For Generative Ai Instructor jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Generative Ai Instructor jobs? Cities in Utah with the most Generative Ai Instructor job openings:

Senior AI Training Specialist

University of Utah Health

Salt Lake City, UT • On-site

Full-time

Medical, Dental

Posted yesterday

New


University Of Utah Health rating

7.7

Company rating: 7.7 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

159th of 885 rated healthcare providers


Job description

Overview
As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA
The Senior AI Training Specialist designs, builds, and delivers the learning experiences that help University of Utah Health employees adopt artificial intelligence tools safely and confidently. This role blends instructional design, hands-on content creation, and live facilitation. The specialist develops self-serve eLearning, maintains content for the team's internal AI website, and leads instructor-led sessions across clinical, research, and administrative audiences. Because the AI Team is newly formed and this program is still taking shape, this role suits someone who is energized by ambiguity and wants to help define how AI learning works across the organization. This position has no responsibility for providing care to patients.
Corporate Overview: University of Utah Health is an integrated academic healthcare system with five hospitals including a level 1 trauma center, eleven community health centers, over 1,600 providers, and a health plan serving over 200,000 members. University of Utah Health is nationally ranked and recognized for our academic research, quality standards and overall patient experience. In addition to our clinical delivery system, we have a School of Medicine, School of Dentistry, College of Nursing, College of Pharmacy, and College of Health providing education and training for over 1,250 providers annually. We have over 2 million patient visits annually and research grants exceeding $350 million. University of Utah Hospitals and Clinics represents our clinical operations for the larger health system.
Responsibilities
Essential Functions
CONTENT CREATION & ELEARNING
  • Designs and builds eLearning modules, self-serve guides, quick-reference materials, and multimedia learning assets that teach practical, responsible use of approved AI tools.
  • Creates and maintains learning content for the team's internal AI website, keeping material current as tools and guidance evolve.
  • Develops lesson plans, exercises, job aids, reference documents, and evaluation tools aligned to defined learning objectives.

LIVE TRAINING & FACILITATION
  • Delivers instructor-led training across classroom, virtual, one-to-one, and small-group settings, tailoring approach to different roles and skill levels.
  • Builds engagement, practice, and application into every session so learning transfers to the job - not just information delivery.

PROGRAM SUPPORT & COLLABORATION
  • Partners with team members and stakeholders across clinical, research, IT, and administrative areas to identify learning needs and deliver fitting solutions.
  • Monitors and reports on training effectiveness and iterates on materials based on feedback and outcomes.
  • Stays current on a fast-moving AI landscape and translates new capabilities into accessible learning for non-technical audiences.
Knowledge / Skills / Abilities
  • Demonstrated instructional design and adult-learning skills, with the ability to make complex topics accessible to mixed-skill audiences.
  • Strong facilitation and presentation skills across in-person and virtual formats.
  • Ability to build engaging digital and self-serve learning content, including multimedia and web-based materials.
  • Comfort with ambiguity and a demonstrated ability to shape a role and program that are still being defined.
  • Self-directed learner who can quickly build proficiency in new tools and technologies - hands-on AI experience is welcomed but deep expertise is not required at hire.
  • Strong written and verbal communication; organized, able to manage multiple projects and priorities.
  • Coachable, reflective, and able to give and receive feedback constructively.

Qualifications
Required
  • Bachelor's degree in Education, Communication, Organizational Development, Instructional Design, Business, or a related area or equivalency.
  • Five years of applicable experience

Qualifications (Preferred)
Preferred
  • Experience in a health care organization.
  • Experience designing and maintaining content in SharePoint (site/page design, document libraries, navigation).
  • Hands-on experience with generative AI tools (e.g., Microsoft Copilot, Claude) in a workplace setting.
  • Experience creating multimedia or video learning content.
  • Experience with Web Design.
  • Master's degree.
Working Conditions and Physical Demands
Employee must be able to meet the following requirements with or without an accommodation.
  • This is a sedentary position in an office setting that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.

Physical Requirements
Carrying, Lifting, Listening, Manual Dexterity, Pulling and/or Pushing, Reaching, Sitting, Speaking, Standing, Stooping and Crouching, Walking

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