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A leading university seeks qualified Subject Matter Experts to teach online graduate courses in AI and Computer Science. Candidates should hold advanced degrees and possess strong teaching skills, with a commitment to diversity and inclusion. This position is fully remote, offering flexibility for engaging with students effectively.
Indiana Tech is a thriving, independent, teaching-oriented university that delivers career-oriented programming in a wide variety of disciplines that includes business, engineering, computer sciences, criminal justice, cybersecurity, marketing, health sciences, communication and helping professions. Indiana Tech enrolls nearly 1,500 students in its traditional undergraduate programs on its picturesque main campus, and nearly 5,000 students in its adult and online program. We offer degrees at the associate, bachelor’s, master's, and doctoral levels and undergraduate and graduate certificates.
Over 41% of our students are either globally or domestically diverse; this contributes to our unique vibrant and inclusive campus community. All academic programs are designed to provide students with relevant and practical experiences, including an emphasis on internships. The university is accredited by the Higher Learning Commission.
Indiana Institute of Technology embraces diversity and equal opportunity intentionally. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that diversity and inclusion among our employees is critical to our success with respect to educating our students to become global citizens. Indiana Tech is an Equal Opportunity Employer.
Indiana Tech has big plans for its future. Learn more at Indiana Tech Strategic Plan.
General Summary
The Talwar College of Engineering and Computer Sciences is seeking qualified Subject Matter Experts to develop and teach online courses at Indiana Tech. Qualified candidates would have knowledge in any areas of AI, such as Generative AI and Prompt Engineering, Neural Networks and Deep Learning, Natural Language Processing, and Developing AI-Enabled Systems. These are graduate courses and are taught 100% online in an accelerated 6-week format.
Essential Duties & Responsibilities
Qualifications
Working Conditions
This position is fully remote. Scheduling of work supporting online students must be flexible to accommodate student learning. Timely response to students is expected.
Candidate must be able to provide own sufficient and secure internet connectivity, as well as a work environment in which confidentiality and productivity can be maintained. Candidates will not be provided with a computer and must own or have access to a Windows based computer.
A resume and cover letter is required in the application process.
**The position remains open until filled; a review of candidates will commence as application materials are received.