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Part Time Instructor Quantum Computing, Artificial Intelligence & Machine Learning

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Job Description - Part Time Instructor Quantum Computing, Artificial Intelligence & Machine Learning

Compensation

Compensation based on education and courses taught

Limited Term End Date

Position Summary

CNM faculty are vital to the College’s vision of “changing lives, building community.” This vision is evidenced by a commitment to teaching and learning that supports our goals of student success, increased student retention, and improved graduation rates. Faculty are responsible for providing high quality instruction that meets the needs of diverse learners so that each student may meet course outcomes and achieve their educational goals. An instructor is responsible for providing high quality instruction so that each student may meet course outcomes. Collaborate with the Dean and colleagues to improve the student learning experience. Being hired into the regular part-time instructor pool is not a guarantee of employment. Classes are assigned on an as-needed basis. Hours will vary each class and by term. The number of openings for instructors is dependent upon student enrollment.

Duties & Responsibilities

  • Responsible for effectively preparing, teaching, grading, and assessing student learning in courses assigned.
  • Create and model a quality learning environment to support a diverse student population including students with disabilities or special learning needs.
  • Maintain student records and provide documentation for in-completes within established College timelines.
  • Utilize a variety of technology-based programs to access and input information related to student records and college/school/department processes.
  • Assist students with registration, advising, and graduation processes.
  • Structure classes and curriculum to correspond with program and course outcomes.
  • Prepare, distribute and utilize instructional support materials, including course syllabi, supplementary materials,instructional media and other devices as appropriate.
  • Convene classes as scheduled and respond to student inquiries.
  • Assist students outside the classroom through posted office hours.
  • Attend in-service sessions, college/school/department meetings, graduation and convocation as required.
  • Performs other job related duties as assigned

Minimum Qualifications:

  • Master’s degree from an accredited institution in Computer Science (CS), Software Engineering (SE), or closely related field.
  • Bachelor’s degree from an accredited institution in Computer Science (CS), Software Engineering (SE), or closely related field AND two (2) years related experience

Preferences:

  • Recent industry experience in related area.
  • Teaching experience at community college of post-secondary level
  • Experience Teaching Online
  • Experience in C++, C#, and MATLAB preferred.
  • Current nationally recognized, industry certifications.
  • (Quantum computing) Able to program and teach in Python using frameworks in Quantum computing including, but not limited to, Quantum algorithms, Quantum cryptography, Quantum error correction, Quantum optimization, and the applications of Quantum computing.
  • (AIML) Able to teach Python programming, foundational Neural Networks, Large Language Models, Deep Learning frameworks, Natural language processing, Generative AI, and Agentic AI.

Best Consideration Date: 3/06/2026
School of Business, Technology & Hospitality


Please upload a cover letter, resume, unofficial transcript, reference list and any supporting documentation.

  • Candidate must be able to work on-site

EEO STATEMENT:

As an EEO employer, Central New Mexico Community College will not discriminate in our employment practices based on an applicant’s race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, serious medical condition or status as a protected veteran or spousal affiliation. Central New Mexico Community College hires only U.S. citizens and individuals lawfully authorized to work in the U.S.

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