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Adjunct Faculty – Computer Science (Artificial Intelligence)

RoleAdjunct Faculty, CS / AI
DepartmentComputer Science
EducationMaster’s Required; Terminal Degree Preferred
AppointmentPer-Course, Flexible Schedule
DepartmentComputer Science
EducationMaster’s / PhD Preferred
FocusAI + Blockchain / Web3
AppointmentPer-Course, Flexible
📍  US-Based University  |  Computer Science Department  |  Part-Time, Per-Course Adjunct Appointment

Adjunct Faculty – Computer Science (Artificial Intelligence)

Our client invites applications for an Adjunct Faculty position in the Computer Science Department, specializing in Artificial Intelligence and Cryptocurrency. This role offers a unique opportunity to teach at the forefront of technological innovation, equipping students with knowledge and practical skills in rapidly evolving fields including AI, machine learning, blockchain technology, and decentralized systems.

The ideal candidate will bring current, hands-on expertise in these areas alongside a genuine passion for teaching at the university level. This is a per-course appointment with a flexible schedule designed to accommodate active industry professionals who want to contribute to the next generation of technologists without leaving their primary careers.

Primary Duties and Responsibilities

Instruction and Course Delivery

  • Design and teach undergraduate and/or graduate-level courses in AI, cryptocurrency, blockchain technology, and related computer science topics
  • Deliver engaging lectures and facilitate interactive discussions that emphasize real-world applications and current industry practices
  • Develop course materials including syllabi, assignments, labs, and assessments that reflect cutting-edge advancements in AI and cryptocurrency
  • Integrate practical projects and applied exercises that give students direct experience with tools and frameworks used in industry

Student Support and Mentorship

  • Support student learning by providing clear, timely feedback on assignments, projects, and assessments
  • Offer academic guidance and mentorship on student projects, independent research, and career pathways in AI and emerging technology
  • Maintain available office hours or virtual consultation times to support student questions and progress throughout the course

Curriculum and Departmental Collaboration

  • Stay informed of trends and developments in AI, cryptocurrency, and blockchain to ensure course content remains current and industry-relevant
  • Collaborate with faculty members and department leadership to align course offerings with program goals and university academic standards
  • Contribute to ongoing curriculum review and program development discussions as requested by the department

Education, Experience, and Skills

Education and Experience

Required Education Master’s degree in Computer Science or a related field; terminal degree preferred
Required Experience Demonstrated practical or research expertise in AI, blockchain, and cryptocurrency; prior university-level teaching strongly preferred
Required EducationMaster’s in Computer Science or related field; terminal degree preferred
Required ExperiencePractical or research expertise in AI and blockchain; prior university teaching strongly preferred

Technical Skills and Tools

Candidates should have working proficiency with tools and languages commonly used in AI and blockchain instruction. Relevant technical competencies include:

Python TensorFlow PyTorch Solidity Ethereum Web3.js Machine Learning Large Language Models DeFi / Web3 Smart Contracts Data Structures Algorithms

Additional Skills and Abilities

  • Strong organizational and communication skills with a commitment to fostering a positive and inclusive academic environment
  • Ability to translate complex technical concepts into accessible, engaging course content for students at varying levels of prior experience
  • Commitment to student success and equitable learning outcomes across diverse student populations

Preferred Qualifications

  • Familiarity with decentralized finance (DeFi), Web3, and emerging technology ecosystems including NFTs, DAOs, and Layer 2 protocols
  • Background in developing academic curricula for technology-focused courses at the undergraduate or graduate level
  • Active industry experience in AI product development, machine learning engineering, or blockchain development
  • Experience mentoring students on capstone projects, research papers, or portfolio-building in technology fields

What We Are Looking For

Current Technical Expertise

Active, hands-on knowledge of AI frameworks, blockchain protocols, and cryptocurrency systems that reflects the state of the field in 2026, not a textbook from three years ago.

Pedagogical Skill

Ability to structure courses, design assessments, and deliver lectures in ways that produce measurable student learning outcomes, not just content coverage.

Industry Connection

Active professional connections in AI or blockchain that can translate into guest speakers, real-world case studies, project briefs, and internship or employment pathways for students.

Student Engagement

Genuine enthusiasm for teaching and mentoring that creates an environment where students feel challenged, supported, and motivated to push their technical abilities further.

Curriculum Agility

Capacity to update course materials quickly as the AI and blockchain landscapes evolve, ensuring students are learning tools and concepts that are actually in use in the current market.

Inclusive Instruction

Commitment to creating an equitable learning environment that supports students from diverse backgrounds, including those without prior professional experience in technology fields.

  • Current Technical Expertise: active, hands-on knowledge of AI frameworks and blockchain protocols reflecting the state of the field in 2026
  • Pedagogical Skill: ability to structure courses and design assessments that produce measurable student learning outcomes
  • Industry Connection: professional connections in AI or blockchain that translate into real-world case studies and student opportunities
  • Student Engagement: genuine enthusiasm for teaching that motivates students to push their technical abilities further
  • Curriculum Agility: capacity to update course materials quickly as the AI and blockchain landscapes evolve
  • Inclusive Instruction: commitment to equitable learning for students from diverse backgrounds and experience levels

Pay and Schedule

This is a per-course adjunct appointment designed to accommodate active industry professionals. Compensation and schedule reflect the part-time nature of the role while providing a meaningful opportunity to contribute to the academic development of the next generation of AI and blockchain practitioners.

CompensationCompetitive per-course rate commensurate with credentials and experience
ScheduleFlexible; designed to accommodate full-time professional commitments
FormatIn-person, hybrid, or online delivery depending on program needs
Course LoadTypically one to two courses per semester with optional summer sections
AccessLibrary, technology resources, and faculty development support
ImpactOpportunity to shape curriculum in one of the most rapidly evolving fields in higher education
CompensationCompetitive per-course rate commensurate with credentials and experience
ScheduleFlexible; designed to accommodate full-time professional commitments
AppointmentPart-time, per-course; typically one to two courses per semester

Application Instructions

Excelon Associates is connecting qualified candidates with institutions seeking Adjunct Faculty in Computer Science and AI. All submissions are handled confidentially. Review of applications is ongoing.

  1. Submit a cover letter and current CV or resume highlighting teaching experience and technical expertise in AI and cryptocurrency
  2. Provide contact information for three professional references with direct knowledge of your technical or instructional background
  3. Include any sample syllabi, course materials, or GitHub repositories that demonstrate your approach to AI or blockchain instruction
  4. Selected candidates will be invited for a conversation with the department to discuss course fit, availability, and instructional approach

For inquiries, contact Excelon Associates at +1 (828) 417-7094 or via the Start a Search page.

The professionals best positioned to teach AI and blockchain are often the ones actively building in these fields. This role is designed specifically for them — people who want to give back to the next generation of technologists without stepping away from their careers.

Looking to Hire Adjunct CS or AI Faculty?

Excelon Associates connects universities and colleges with qualified adjunct faculty, instructors, and visiting lecturers in Computer Science, Artificial Intelligence, blockchain, and emerging technology. Whether you need one course filled or an entire adjunct roster built, we can help. Headquartered in Asheville, NC. Retained search since 2007.