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

Western Governors University; United States; Remote; USD 40,000 - 60,000; Part time

Job summary

Western Governors University is seeking an Evaluator to review students’ assessments and determine mastery of learning objectives and course competencies. You will provide accurate feedback to help students progress through their programs in a timely and personalized manner.

The role requires staying current with evaluation processes and applying updated strategies across new course objectives, collaborating with teammates to ensure consistent scoring and continual improvement of evaluation

Qualifications

• A Ph.D. or Master’s degree in an AI- or machine learning-related field 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)

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.
• 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.

Skills

Assessment evaluation

Feedback to students

Content expertise

Communication skills

Evaluation tools tech

Attention to detail

Team collaboration

Education

A Ph.D. or Master’s degree in an AI- or machine learning-related field paired with a Bachelor’s degree in an engineering discipline.

Bachelor’s degree in an AI-related field paired with a Master’s or Ph.D. degree in engineering

Engineering degrees paired with at least 2 years in AI/ML, Power Industry, RF/Telecom or related industry experience

Job description

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

Job Description

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.

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.

Position & Application Details

Part-time Regular Positions (classified as regular and working less than 30 standard weekly hours): This is a part-time, regular position (classified for less than 30 SWH) that is eligible for vision and mental healthcare; flexible spending account; voluntary life insurance; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and prorated paid holidays and accrued sick time.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.

Accommodations:

Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at [e-mail].

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.