PrairieLearn is looking for a Learning Content Engineer to help us build high-quality, interactive assessments used by universities across the country.

In this role, you’ll work at the intersection of education, math, and software, implementing problems written by faculty into PrairieLearn’s platform. You’ll translate ideas and handwritten solutions into robust, auto-graded questions that support student learning at scale.

What you’ll do

Implement math, engineering, and other STEM problems in PrairieLearn using Python and web technologies
Translate faculty-written content into interactive, auto-graded assessments
Collaborate with instructors to clarify intent, edge cases, and grading logic
Test and refine questions to ensure correctness, clarity, and good student experience
Contribute to internal tools and workflows for content development

What we’re looking for

Strong quantitative background (e.g., math, engineering, physics, CS)
Comfortable with calculus (through multivariable)
Experience with Python; familiarity with basic web development (HTML/CSS/JS)
Careful, detail-oriented, and able to reason about edge cases
Strong written communication skills

Nice to have

Degree in CS, mathematics or a related field
Experience teaching, tutoring, or developing educational content
Familiarity with LaTeX or mathematical typesetting
Interest in improving STEM education at scale

About PrairieLearn

PrairieLearn is an online assessment platform used at universities across the US. We enable instructors to create randomized, auto-graded questions that support mastery-based learning and large-scale exams.

Thank you for applying to PrairieLearn!