Part-Time, Evaluator - School of Technology, MSAIES, BSEE, BSCOME

Essential Functions and Responsibilities

• Analyze and evaluate assessments to determine students’ mastery of learning objectives and course competencies. Prepare accurate, helpful, and consistent feedback to help students develop course competencies. Apply evaluation processes, policies, and procedures when reviewing and determining students’ mastery of course learning objectives and program competencies. Stay current with updates to evaluation processes; adopt and apply updated and new evaluation processes as they occur. Collaborate with team members and leadership when evaluating new and complex assessments to ensure consistent evaluation ratings. Review evaluation feedback from team members and leaders, apply input as needed to ensure evaluation methods align with department and team expectations. Partner with team members and leaders to improve evaluation processes that promote consistent scoring and improve evaluation processes.

Knowledge, Skill, and Abilities

• Ability to review students’ responses on assessments and determine mastery of learning objectives and course competencies. Ability to evaluate assessments and develop accurate, helpful, personalized, and consistent feedback to students in a way that helps them progress through their academic programs. Ability to maintain expertise in content relevant to the role. Demonstrate excellent communication skills (verbal and written). Demonstrated competency with technology needed to evaluate and respond to students’ assessments. Ability to adapt quickly to new processes and apply changes to evaluation processes. Ability to provide and receive constructive feedback and ensure consistency in evaluation responses. Demonstrated attention to detail and accuracy. Demonstrated ability to collaborate and work effectively as part of a team. Ability to work independently to complete assessment evaluations consistent with standard practices and policies.

Job Qualifications

• Minimum Qualifications:
• A Ph.D. or Master’s degree in an AI- or machine learning-related field (such as Computer Science or Software Engineering) paired with a Bachelor’s degree in an engineering discipline.
• OR : A Bachelor’s degree in an AI-related field paired with a Master’s or Ph.D. degree in engineering
• OR : degree(s) in engineering paired with at least 2 years in AI/ML, Power Industry, RF/Telecom or related industry experience
• Demonstrated ability to work with diverse learner profiles
• Ability to work a student-friendly schedule (evenings/weekends)
• Preferred Qualifications:
• Experience working remotely
• PhD in Electrical or Computer Engineering; 2 - 3 years of experience teaching or in an engineering position
• Physical Requirements: Prolonged periods sitting at a desk and working on a computer.
• This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Additional Information