Remote Part-Time Instructor — Applied AI in Business Systems

Syracuse University

City of Syracuse (NY)

Remote

USD 30,000 - 54,000

Part time

7 days ago
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Job summary

Syracuse University is seeking a Part-time Instructor for AIA 426 Applied AI in Business Systems, online for Spring 2027. The course will be delivered remotely with a commitment to on-campus elements where required by policy.

The department emphasizes interactive live sessions, asynchronous materials, and student engagement in a virtual setting. The ideal candidate has significant teaching experience in this field, with strong online delivery skills and the ability to work independently within

Qualifications

  • Online teaching experience is required or preferred.
  • Experience with instructional design is preferred.
  • Ability to be self-directed within defined guidelines.
  • Ability to interact effectively with diverse people in a multidisciplinary environment.
  • Interest in learning to use new technological tools to engage students in a virtual classroom.

Responsibilities

  • Conduct live discussions weekly for each online section, using group work, case studies, or other online pedagogy tools.
  • Review asynchronous content and student work before weekly live sessions.
  • Grade assignments and exams in a timely manner and provide constructive feedback.
  • Maintain regular virtual office hours and be accessible to students.
  • Submit progress reports and final grades per university regulations.
  • Participate in instructor meetings quarterly.

Skills

Online teaching experience
Instructional design
Self-directed
Diversity collaboration
Tech adaptability

Education

Master’s degree preferred

Job description

Syracuse University is seeking a Part-time Instructor for AIA 426 Applied AI in Business Systems, online for Spring 2027. The course will be delivered remotely with a commitment to on-campus elements where required by policy.

The department emphasizes interactive live sessions, asynchronous materials, and student engagement in a virtual setting. The ideal candidate has significant teaching experience in this field, with strong online delivery skills and the ability to work independently within

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