Adjunct Instructor (Artificial Intelligence & Machine Learning

As a Neumont University instructor you will develop leadership and mentoring skills that will enhance your career It can be a very rewarding experience as you see students start to understand complex subjects and gain confidence in their abilities Neumont is looking to fill multiple adjunct faculty positions to teach in person in the following area Artificial Intelligence Neumont University is looking for tech individuals with in industry experience to teach the following technologies Artificial Intelligence Ability to teach AI fundamentals to complete beginners in clear accessible terms

Familiarity with low code AI tools including Microsoft Azure ML StudioAI Data Modeling Proficiency in SQLSQLite and relational database design entity relationship modeling through normalization

Experience with dimensional modeling data warehousing star schemas OLTP vs OLAPUnderstanding of how data modeling supports ML pipelines feature stores vector storesembeddings trainserve 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

Machine Learning Foundations Comfort teaching and evaluating algorithmic complexity Big O time and space

Solid grounding in core ML concepts supervisedunsupervisedreinforcement learning overfitting neural network fundamentals

Reinforcement Learning Solid theoretical grounding in reinforcement learning MDPs Bellman equations dynamic programming

Hands on experience with Monte Carlo methods TD learningSARSA Q learning policy gradients and DQNsWorking knowledge of Num Py and Py Torch Ability  to teach on policy vs off policy tradeoffs and deep RL stability concepts replay buffers target networks

Bachelors 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

Teaching experience preferred but not required

Ability to work within the US without company sponsorship

In person on campus

Courses begin October 5 2026 and are 5 to 10 weeks long depending on the course

We make classes work around full time work schedules as we offer AM and PM classes

Adjuncts may spend up to 10 hours a week outside of class doing grading and familiarizing themselves with the curriculum This time commitment lessens once they get the hang of teaching

• 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 students 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 teachingmentoring skills

• Implement best practices in teaching and project based learning
• Submit all new teaching materials to Neumont vault upon completion of each course
• Work with supervisor to identify areas for personal development and course improvement
• Utilize feedback from mid quarter and end of quarter evaluations to improve teaching
• Identify innovative teaching methods to solve curricular problems
• Teach material defined in the course description and syllabus
• Maintain and meet the listed student learning goals
• Utilize the Neumont LMS to keep an updated syllabus course materials and grades
• Provide a safe learning environment for students
• Answer and deal respectfully with student complaints and problems
• Use effective assessments that measure student learning
• Provide timely and accurate feedback to students assignments exams projects etc

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