Adjunct Instructor, Applied AI Engineering - New Mexico State University - Spring 2027 (In-Person, Master’s Degree Preferred)

About the Role

Location: New Mexico State University, Las Cruces, NM, United States

Role-Type: Seasonal Part-Time, W2 Employee (up to 10 hours/week)

Duration: Spring Academic Term,January 2027 - May 2027 (Training: January 5th-7th, 5:00pm-7:30pm ET)

Reports To: Program Manager 

Compensation: All new hires begin at $75/hour

Adjunct Instructors serve as the primary facilitators of CodePath’s university courses, delivering engaging in-class instruction and representing CodePath to students nationwide. They prepare and lead interactive lessons using CodePath’s curriculum, ensuring that each course meets program key performance indicators (KPIs) and continuously evolves based on student feedback. Instructors may also collaborate with co-instructors and teaching assistants to coordinate classroom activities and provide comprehensive support to students.

We are looking for instructors preferably with a Master’s Degree or PhD in a field related to Computer Science to lead our Artificial Intelligence (AI) courses as we develop partnerships between CodePath and various universities across the country. The AI course covers theory, algorithms, and practical applications of generative models, including modern large language models (LLMs) and multimodal systems. 

You will need to be free during the Spring Academic Term which runs between January through May, 2027. The full date range listed also includes time needed for pre-course instructor training. The course time(s) you could be assigned are set to take place on: 

• Mondays/Wednesdays, 1:30pm-2:45pm MT

Key Activities

• Lead in-person class sessions of approximately 20-30 college students, supporting students in achieving learning objectives

• Review course material and plan for lessons to be highly engaging and industry relevant, with CodePath provided curriculum 

• Work with the Program Manager to oversee the course and work with other co- instructors as needed

• Participate in regular syncs with instructors and teaching assistants leading up to the start of the course

• Use course feedback to implement course improvements and propose curriculum changes that ensure KPIs are met

• Participate in check-ins with instructors during the course, optionally shadowing some of the other instructor’s sessions, to provide instructors feedback

• Engage with University faculty and staff to ensure consistent alignment with our curriculum and their overall program

• Manage teaching assistants to ensure students receive appropriate support

Qualifications 

• (Preferable) Master’s Degree or PhD in Computer science (or closely related field)

• 4+ years of full-time working experience in a software development/engineering role

• Availability to lead lectures during the course times listed above   

• Available to meet with teaching assistants once per week outside of class

• Strong working knowledge of generative AI, LLMs, and modern AI-assisted development workflows

• Experience with open source development practices and large codebases

• Proficiency with Python  

• Experience working through shifting priorities and learning, while maintaining organization and control

• A passion for training the next generation of developers and some experience teaching in an educational, volunteer or work setting, for online learning environments

• (Preferred) 1+ years of instructional experience with a demonstrated track record of educational excellence

Seasonal/Part-Time Employee Benefits

• Wellness: Employee Assistance Program

• Financial Security: 401(k)

• Additional Perks: Exclusive marketplace savings 

 * This position is not eligible for medical, dental, or vision benefits or paid time-off