TECH ADJUNCT (Artificial Intelligence)

Neumont University • Salt Lake, UT

3d • Onsite

About The Position

Neumont University is looking for tech individuals with in-industry experience to teach Artificial Intelligence and related technologies. The role involves developing leadership and mentoring skills while helping students understand complex subjects and gain confidence. This is an in-person teaching position.

Requirements

• Bachelor’s or higher degree in computer science or a related field AND 4 years of CS related experience (or 8 years of CS related experience without a CS degree).
• Ability to teach AI fundamentals to complete beginners in clear, accessible terms.
• Familiarity with low-code AI tools, including Microsoft Azure ML Studio.
• Proficiency in SQL/SQLite and relational database design (entity-relationship modeling through normalization).
• Experience with dimensional modeling / data warehousing (star schemas, OLTP vs. OLAP).
• Understanding of how data modeling supports ML pipelines (feature stores, vector stores/embeddings, train/serve skew).
• Ability to teach query optimization, including indexes and reading query execution plans.
• Strong working proficiency in Python, sufficient to review and debug student code live in class.
• Comfort teaching and evaluating algorithmic complexity (Big-O: time and space).
• Solid grounding in core ML concepts: supervised/unsupervised/reinforcement learning, overfitting, neural network fundamentals.
• Solid theoretical grounding in reinforcement learning (MDPs, Bellman equations, dynamic programming).
• Hands-on experience with Monte Carlo methods, TD learning/SARSA, Q-learning, policy gradients, and DQNs.
• Working knowledge of NumPy and PyTorch.
• Ability to teach on-policy vs. off-policy tradeoffs and deep-RL stability concepts (replay buffers, target networks).
• Ability to work within the U.S. without company sponsorship.

Nice To Haves

• Teaching experience preferred, but not required.

Responsibilities

• Educating students in accordance with the Neumont teaching methodology, focusing on active learning and engaging students.
• Grading and providing valuable feedback to students in a timely manner.
• Mentoring students in groups or individually.
• Evaluating curriculum, adapting coursework and materials as necessary to meet student learning needs.
• Implementing best practices in teaching and project-based learning.
• Submitting all new teaching materials to Neumont vault upon completion of each course.
• Working with supervisor to identify areas for personal development and course improvement.
• Utilizing feedback from mid-quarter and end-of-quarter evaluations to improve teaching.
• Identifying innovative teaching methods to solve curricular problems.
• Teaching material defined in the course description and syllabus.
• Maintaining and meeting the listed student learning goals.
• Utilizing the Neumont LMS to keep an updated syllabus, course materials, and grades.
• Providing a safe learning environment for students.
• Answering and dealing respectfully with student complaints and problems.
• Using effective assessments that measure student learning.
• Providing timely and accurate feedback to students' assignments, exams, projects, etc.

Benefits

• Improve the lives of students from across the nation through the power of education.
• Opportunity to give back through educating the next generation of tech experts.
• Experience the "light" turn on in your student's eyes as you teach and they experience true understanding.
• Be a part of a computer science institution that focuses on creating software engineers that can DO, not just theorize.
• Develop your teaching/mentoring skills.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level