Learning Content Engineer

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🕒 April 2

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PrairieLearn

1 - 10 employees

📚 Education

☁️ SaaS

Education • SaaS

PrairieLearn is an open-source online assessment and learning platform that enables instructors to author, deploy, and automatically grade adaptive, code-defined question variants to support mastery-based learning. It provides randomized parameterization, instant feedback, multiple input types (numerical, graphical, code), and workflows for in-class activities, homework, practice, and proctored testing, and is used by universities to scale reusable assessments.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary • Remote work options

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