Remote AI Semantic Data Storage & Integration Instructor

Syracuse University; City of Syracuse (NY); Hybrid; USD 83,000 - 117,000; Part time

Job summary

Syracuse University is seeking a Part-time Instructor to teach AIA 316 AI Semantic Data Storage and Integration (Online) for Spring 2027. The course covers digital automation concepts and the convergence of new technologies with traditional processes.

The position anticipates remote delivery with campus context as needed and requires evenings and office hours. The role emphasizes self-direction, online pedagogy, and interaction with a diverse, multidisciplinary student body within the College of

Qualifications

• Online teaching experience.
• Experience with instructional design preferred.
• The ability to be self-directed with broadly defined guidelines.
• Demonstrated ability to interact effectively and efficiently with diverse people in a multidisciplinary environment.
• Interest in learning to use new technological tools to engage students in a virtual classroom environment.

Responsibilities

• Conduct live discussions weekly incorporating group work, case studies or other online pedagogy tools, incorporating material covered asynchronously, as well as student questions, items in the news that apply to course concepts, and other external sources or guests relevant to course content, etc.
• View asynchronous content and student work and inquiries in advance of weekly live sessions.
• Grade assignments and exams quickly and provide relevant feedback to students.
• Maintain regularly scheduled virtual office hours.
• Submit progress reports and final grades according to University regulations.
• Participate in instructor meetings quarterly.

Skills

Online teaching

Self-direction

Diversity collaboration

Multidisciplinary interaction

Education

Master’s degree

Tools

Instructional design

Job description

Syracuse University is seeking a Part-time Instructor to teach AIA 316 AI Semantic Data Storage and Integration (Online) for Spring 2027. The course covers digital automation concepts and the convergence of new technologies with traditional processes.

The position anticipates remote delivery with campus context as needed and requires evenings and office hours. The role emphasizes self-direction, online pedagogy, and interaction with a diverse, multidisciplinary student body within the College of