CodePath.org Logo

CodePath.org

Adjunct Instructor, Applied AI Engineering - CSU Dominguez Hills - Fall 2026 (In-Person, Master’s Degree Required)

Posted An Hour Ago
Be an Early Applicant
Easy Apply
In-Office
Carson, CA
75-75 Annually
Mid level
Easy Apply
In-Office
Carson, CA
75-75 Annually
Mid level
Teach in-person Applied AI course using CodePath curriculum for ~25-75 students. Prepare and deliver engaging lessons on generative models and LLMs, coordinate with program manager, co-instructors, and TAs, implement curriculum improvements based on feedback, and hold weekly TA meetings during the Fall term (Aug–Dec).
The summary above was generated by AI

CodePath is the largest educator of college computer science students in the country. We have trained over 40,000 students from 1,000+ universities. Our partners include Amazon, Google, Meta, and 4,000+ companies across the industry. We’ve been training the next generation of technical talent for nearly a decade, and we just launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world.

We're now expanding into new markets and scaling our team so we can move at the speed AI is transforming the workforce. People joining CodePath now will have the opportunity to help architect the next frontier of our work.

We are building toward millions of learners, hundreds of millions in revenue, and billions in economic impact for a generation of technical talent who have historically been locked out of tech. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, we think you’d love it here. 

About the Role

Location: CSU Dominguez Hills, Carson, CA, United States

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

Duration: August 2026 - December 2026 (Training start and the Fall Academic Term)

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 specifically for instructors 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 Fall Academic Term which runs between August through December, 2026. 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 4:00pm-5:15pm PT

Key Activities

  • Lead in-person class sessions of approximately 25-75 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 

  • 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

Pay range
$75$75 USD

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account