Jobs · Engineering

Learning Engineer

Southern New Hampshire University · United States · 1 mo ago
RemoteRemoteEngineering$66k–$106k/yrFull-time

About the role

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. Make an impact — from near or far. At SNHU, you'll have the option to work remotely in the following states:

  • Alabama
  • Arizona
  • Arkansas
  • Delaware
  • Florida
  • Georgia
  • Hawaii
  • Idaho
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Maryland
  • Massachusetts
  • Michigan
  • Mississippi
  • Missouri
  • Nebraska
  • New Hampshire
  • New Mexico
  • North Carolina
  • North Dakota
  • Ohio
  • Oklahoma
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • Utah
  • Vermont
  • Virginia
  • West Virginia
  • Wisconsin
  • Wyoming

We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.

Responsibilities

  • Design and develop learning solutions drawing from research-based efforts in learning science and educational technology.
  • Manage complex design projects independently with small, agile teams.
  • Design rigorous testing approaches for the evaluation of strategic initiatives, including test protocols, evaluation instruments, measurement frameworks, hypotheses, success criteria, and decision points.
  • Partner with prototype teams as an embedded contributor to translate emerging instructional approaches and design challenges into structured experiments, testable iterations, and production-ready recommendations.
  • Convert applied research and emerging literature on AI, assessment, student engagement, and learning science into pilot designs, test plans, and operational playbooks that teams can implement directly.
  • Apply methodological rigor to

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