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  • Part-Time
  • Remote US
  • $47k USD / Year

Reported $47k

Evaluator, Nursing – MSN Nursing Informatics


Job Category: Faculty-Health Professions College-Evaluator

Position Type: Part-Time

Job Description

The Evaluator is a member of WGU’s faculty. Evaluators are subject matter experts tasked with reviewing student assessment submissions in a fair and unbiased manner to determine if competency has been demonstrated in a specific course. Evaluators are self-managed, taking initiative and acting independently in completing performance assessment evaluations. As established professionals within their fields, Evaluators bring years of hands-on experience to the position.

The Evaluators work is critical to each student’s experience and success at WGU.

This is a part-time work from home position with the following flexible schedule:

  • 15-28 hours per week.
  • At least 5 days worked each week, includes some weekend work.
  • Minimum 2 hour long working sessions.
  • Work can be completed between 6 AM – 10 PM MT

Our Evaluators are eligible for our part-time benefits package which includes items such as:

  • Performance plus Bonus
  • 403(b) retirement savings plan
  • Generous tuition discount for employee and family.


  • Apply subject matter expertise and experience utilizing a rubric.
  • Craft personalized robust feedback to support accurate scoring of student responses and in the support of student progress.
  • Must achieve departmental goals for turnaround time of 72 hours or less.
  • Create and implement methods to improve student success and evaluation processes.
  • Partners with other faculty and departments to provide closed loop feedback on programs and assessments regarding trends within student submissions.


Required Experience

  • Minimum earned Master’s degree in Nursing or Doctorate, preferably related to health information management.
  • A current, unrestricted RN license in a Nurse Licensure Compact State is required.
  • Minimum of 5 years work experience in the field of nursing informatics with a strong expertise in Data Science and Analytics, Informatics System Analysis & Design and Data Modeling & Database Information Management.

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