Adjunct Instructor, Applied AI Engineering - New Mexico State University - Spring 2027 (In-Person, Master’s Degree Preferred)
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:
- 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
Skills Required
- Master’s degree or PhD in Computer Science or a closely related field
- At least 4 years of full-time software development or engineering experience
- Availability to teach Mondays and Wednesdays from 1:30 PM to 2:45 PM MT during January through May 2027
- Availability to meet with teaching assistants once per week outside class
- Strong working knowledge of generative AI, large language models, and modern AI-assisted development workflows
- Experience with open source development practices and large codebases
- Proficiency with Python
- Ability to manage shifting priorities while maintaining organization and control
- Passion for training the next generation of developers
- Some teaching experience in an educational, volunteer, work, or online learning environment
- At least 1 year of instructional experience with a demonstrated record of educational excellence
What the Team is Saying
What We Do
We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow. Breaking into the tech industry requires a number of factors: industry-relevant knowledge, connections, specific hard and soft skills, an understanding of how to navigate the job search, and the technical interviewing process. Many college CS programs don't have the depth of resources or support needed to practically set students up for career success, like keeping up with the latest industry trends, building employer partnerships, and providing access to critical internships where students can get a foothold in the industry. Even the most well-funded, prestigious programs can have gaps that prevent a comprehensive education.
Why Work With Us
We believe tech excellence can be within reach for anyone given the right resources and the chance to apply them. When you work here, you're helping make that real. If building a more inclusive future of tech alongside bright students, college programs, and top employers sounds like your kind of work, CodePath is the place.
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