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

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade:
Faculty 504

Pay Range: $29.13 - $43.70

The Evaluator applies expertise in the relevant content area to review students' assessments and determine mastery of learning objectives and course competencies. The Evaluator provides accurate and helpful feedback on assessments to helps students develop course competencies and progress through their academic programs. This role applies evaluation processes, procedures, and policies to ensure assessment feedback is consistent, personalized, and timely. This role participates in ongoing training to ensure they apply the latest evaluation strategies to new and updated course and program learning objectives and competencies.

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.

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.

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…