Adjunct Faculty, Computer Science (Artificial Intelligence)
An Adjunct Faculty member in Computer Science teaches at the forefront of technological innovation, delivering courses in artificial intelligence, blockchain, and cryptocurrency. This is a sample job description from Excelon Associates that you can adapt as a template for your own hire.
What does Adjunct Faculty in Computer Science (AI) do?
This Adjunct Faculty member teaches in the Computer Science department, specializing in Artificial Intelligence (AI) and cryptocurrency. The role equips students with knowledge and skills in rapidly evolving fields such as AI, blockchain, and decentralized systems, designing and teaching undergraduate or graduate courses and emphasizing real-world applications and current industry practice.
It suits a working professional or researcher who can bring cutting-edge practice into the classroom. It is an adjunct faculty role within the higher education sector, at the intersection of computer science and emerging technology.
Artificial intelligence (AI) is the field of building systems that perform tasks requiring human-like intelligence. Blockchain is a distributed ledger technology, and cryptocurrency and DeFi (decentralized finance) are applications built on it. Adjunct faculty are part-time instructors, often working professionals in the field.
What does the adjunct faculty member focus on?
Key responsibilities of Adjunct Faculty, Computer Science (AI)
- Design and teach undergraduate or graduate-level courses in AI, cryptocurrency, blockchain technology, and related computer science topics.
- Deliver engaging lectures and facilitate interactive discussions, emphasizing real-world applications and current industry practices.
- Develop course materials, including syllabi, assignments, and assessments, that reflect cutting-edge advancements in AI and cryptocurrency.
- Support student learning by providing clear feedback, academic guidance, and mentorship on projects and research.
- Stay informed of trends and developments in AI, cryptocurrency, and blockchain to ensure course content remains current and relevant.
- Collaborate with faculty members and department leadership to align course offerings with program goals and university standards.
What qualifications does the role require?
- Master’s degree in computer science or a related field; a terminal degree is preferred.
- Expertise in AI, blockchain, cryptocurrency, and related technologies, with demonstrated practical or research experience.
- Prior teaching or instructional experience at the university level strongly preferred.
- Experience with programming languages and tools common in AI and blockchain, such as Python, Solidity, and TensorFlow.
- Familiarity with decentralized finance (DeFi), Web3, and emerging technology ecosystems, plus a background developing technology-focused academic curricula.
- Strong organizational and communication skills, with a commitment to a positive and inclusive academic environment.
Why is the Adjunct CS (AI) Faculty role important?
Adjunct faculty bring current industry practice into emerging-technology courses. In fields as fast-moving as AI and blockchain, an instructor who actually works in the field keeps the curriculum relevant in a way a fixed textbook cannot, and prepares students for how the work is really done.
The adjunct model also lets a department offer cutting-edge electives without a full-time hire in every niche. The strongest adjuncts treat teaching as more than a side gig, mentoring students and connecting coursework to live industry practice.
A hiring note from Excelon
AI and blockchain professionals command strong industry salaries, so adjunct teaching competes with their day jobs and the motivation is usually a genuine desire to teach. Through our education practice, we look for practitioners with real AI or blockchain depth and the communication skills to teach it, since the value of an adjunct in these fields is precisely the current, hands-on perspective a career academic may lack.
An instructor who actually works in the field keeps the curriculum relevant in a way a fixed textbook cannot.
Related sample job descriptions
Adjunct Faculty, Computer Science (AI): frequently asked questions
What does Adjunct Faculty in Computer Science (AI) do?
This adjunct faculty member designs and teaches undergraduate or graduate courses in artificial intelligence, cryptocurrency, blockchain, and related computer science topics. The role delivers lectures, develops course materials, mentors students, and keeps content current with industry trends.
What qualifications does the role require?
This sample role requires a master’s degree in computer science or a related field (terminal degree preferred), expertise in AI, blockchain, and cryptocurrency with practical or research experience, and ideally prior university teaching experience.
Is this a part-time or adjunct position?
Yes. Adjunct faculty are part-time instructors, typically paid per course with a flexible schedule, which suits working AI and blockchain professionals who want to teach alongside their industry roles.
What technical skills are preferred?
Preferred skills include programming and tools common in AI and blockchain such as Python, Solidity, and TensorFlow, plus familiarity with decentralized finance (DeFi), Web3, and experience developing technology-focused academic curricula.
Why is this role important?
Adjunct faculty bring current industry practice into emerging-technology courses. In fast-moving fields like AI and blockchain, an instructor who works in the field keeps the curriculum relevant and prepares students for real practice.
Hiring Adjunct Computer Science Faculty?
Excelon Associates places computer science faculty, adjunct instructors, and emerging-technology academic talent at colleges and universities across the United States through our higher education recruitment practice. Retained executive search since 2007, headquartered in Asheville, NC, with offices in Boca Raton and Delray Beach, FL.
More Sample Job Descriptions
Templates you can adapt for your own roles.