Adjunct Instructor, Applied AI Engineering - New Mexico State University - Spring 2027 (In-Person, Master’s Degree Preferred)
Required skills
- AI
- Artificial Intelligence
- generative AI
- LLMs
- multimodal systems
- Python
- AI-assisted development workflows
- in-person class sessions
- CodePath curriculum
- Program Manager
Nice to have
- engineering role
- open source development practices
- large codebases
- instructional experience
- educational excellence
- online learning environments
Role summary
CodePath is seeking an Adjunct Instructor for Applied AI Engineering at New Mexico State University for the Spring 2027 term. This part-time, in-person role involves delivering engaging lectures on generative AI, LLMs, and multimodal systems using provided curriculum. Responsibilities include planning lessons, collaborating with co-instructors and TAs, incorporating student feedback for course improvements, and managing teaching assistants. The ideal candidate has a Master's degree or PhD in Computer Science, 4+ years of software development experience, and strong knowledge of Python and generative AI. Teaching experience is preferred. The position runs from January to May 2027, with specific lecture times on Mondays/Wednesdays.
CodePath is the largest educator of college computer science students in the country. We've trained over 50,000 students from more than 1,000 universities. Our partners include Amazon, Google, and other leading technology companies. After nearly a decade of training technical talent, we launched a $150M initiative with Anthropic to prepare people for careers in AI.
We're expanding into new markets and growing our team as AI changes the workforce. People joining CodePath now will help shape this next stage of our work.
We believe technical skills create opportunities. Our goal is to train millions of learners and create lasting economic impact. If you want to build something new, take ownership, and see the results of your work, this is a place to do it.
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:
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
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