Responsible for providing quality instruction to students through well prepared classes, relevant assignments, fair and holistic assessment of learning, clear documentation of student progress, and support of the academic success for at-risk students.

• Teach assigned courses
• Adequately prepare all course materials and lessons. Note preparation time will vary based on instructor experience in teaching that course
• Provide each student with clear course expectations, evaluations and timelines through carefully written topical outlines and approved, standardized syllabus
• Provide Interesting and relevant assignments for students that demonstrate learning outcomes in a real-life setting for custom courses
• Suitably challenge, engage, serve and communicate with students to encourage their participation and learning while maintaining mutual value and respect
• Complete all assessments, grade books, and final grade sheets per requirements
• Respond to student questions within 48 hours
• Identify and refer at-risk students to specific academic support services
• Ensure course and program learning outcomes are delivered as defined by the syllabus
• Where applicable, ensure safety and sanitation of all labs, equipment and supplies
• Post and maintain office and classroom schedules
• Support program, campus, and university retention activities
• Attend regularly scheduled in-services and discipline specific professional development activities
• Complete required professional development and training activities
• Responsible to maintain credentials as required by accrediting councils/agencies and regulatory bodies

Required Experience

• Applicant must have at least two years of professional experience (non-teaching) in AI or ML roles. Must be able to perform live coding during instructional hours in courses. Professional certifications preferred in addition to academic preparation.
• Candidate must have obtained at least a master's degree in Computer Science or closely related discipline with an emphasis in artificial intelligence (AI) /machine learning (ML) from a regionally accredited institution or equivalent; terminal degree preferred.
• Selected candidates will also be required to complete a satisfactory background check
• Candidate will be required to submit a resume and/or curriculum vitae and copies of unofficial transcripts (graduate/doctoral degree levels