Physics Lab Solutions Developer (Contract)

Catalyst Education•Austin, TX
•Remote

About The Position

Catalyst Education is seeking remote, part-time contractors with undergraduate physics laboratory instruction experience and web development or scripting skills. Contractors will help deliver interactive physics lab content on Catalyst’s digital learning platform by transforming paper-based lab procedures into digital modules and autograding scripts. The work begins in early November and is expected to continue through 2027 for strong performers. Hours are flexible, with a strong preference for candidates available 20 hours per week; candidates must be able to work at least 10 hours per week. Compensation is $35 per hour. High-performing contractors may be prioritized for future full-time roles.

Requirements

  • Direct experience working with students in undergraduate laboratory physics courses, such as as a current or former teaching assistant or tutor, and/or experience with AP Physics 1 or 2 labs.
  • Demonstrated proficiency with HTML and LaTeX.
  • Proficiency with scripting languages such as JavaScript and Python, and structured data formats such as JSON.
  • Experience using artificial intelligence tools to draft and review work.
  • Ability to work at least 10 hours per week; 20 hours per week is preferred.
  • Reliable personal computer and internet access.
  • Legal status to work as a 1099 contractor.

Nice To Haves

  • Availability for 20 hours per week is strongly preferred.
  • High-performing contractors may be prioritized for future full-time roles.

Responsibilities

  • Convert traditional physics lab experiments and report sheets into interactive digital modules using proprietary markup tools.
  • Select and embed interactive elements such as prompts, tables, dropdowns, and open-response fields to support student engagement and clarity.
  • Incorporate real-world laboratory equipment parameters, including measurement precision, tolerance, and instrumentation range, into data-entry validation rules.
  • Write JavaScript evaluation logic to analyze student data, automate mathematical formulas, and provide targeted feedback.
  • Draft and debug structured content using HTML, LaTeX for equations, and JSON for configurations.
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