Kaplan, Inc

Kaplan, Inc

Contractor Engineering Content Developer

Remote/Nationwide, USA · Contract

Sponsorship not specified$25k-$50kDetected 30 days ago
CommunicationTime ManagementMentoringPublic SpeakingMicrosoft Office

About the role

  • With 80+ years of history, Kaplan has been a beacon for expanding educational access and a leader in instructional innovation.
  • This is a remote opportunity with flexible hours (up to 20 per week).
  • Hours & Employment This is a contract (1099) position.

Requirements

  • Equipment Required
  • Contractors must supply their own equipment and must have installed:

Nice to have

  • Have excellent command of the English language - both verbal and written.
  • Have taken the computer based testing (CBT) format of any exam they wish to contribute to.
  • Possess an active PE Certification issued by NCEES in the discipline they wish to contribute to.
  • Have exceptional attention to detail, organization skills, and time management skills
  • Provide prompt and responsive communication, mostly by email.
  • Occasional video chat meetings during business hours may be required.
  • Be highly motivated and take initiative proactively.
  • Be receptive to feedback, meet deadlines, and take accountability for deliverables.

Compensation

  • $25k-$50k

Benefits

  • Kaplan is committed to cultivating an inclusive workplace that values diversity, promotes equity, and integrates inclusivity into all aspects of our operations.

Company info

  • Kaplan is one of the world's largest and most diverse education providers.
  • We are looking for a remote Subject Matter Expert who will assist Kaplan's engineering team in developing material to prepare students for the Principles of Practice of Engineering (PE) examination.
  • We believe that diversity strengthens our organization, fuels innovation, and improves our ability to serve our students, customers, and communities.
  • Learn more about our culture here.

This listing is sourced directly from Kaplan, Inc's careers page and normalized into a canonical job model.