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!
Skills Required
- 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, able to reason about edge cases
- Strong written communication skills
- 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
What We Do
PrairieLearn, Inc. is an online assessment and learning system focused on providing equitable and authentic assessments in the education sector. The platform empowers instructors to create adaptive, problem-driven educational resources with real-time feedback, which automatically generate and grade infinite variants of questions. Designed for mastery-based learning, it is used by instructors and students across various universities to enhance educational outcomes.
