About The Position

We are running a paid study to evaluate the quality and accuracy of introductory quantum computing assessments. This role involves reviewing a structured JSON dataset of exam questions, distractors, and grading rubrics. The goal is to ensure the technical soundness and rigor of educational materials by auditing multiple-choice options for correctness, eliminating ambiguous distractors, verifying Qiskit code prompts, and adding edge test cases to grading rubrics. The final output will be a corrected or approved JSON file with expert feedback.

Requirements

  • Professional or academic experience in quantum computing or quantum physics
  • Hands-on familiarity with writing and reviewing Qiskit code
  • Strong understanding of fundamental quantum concepts like superposition, entanglement, and logic gates
  • Comfortable reading and editing structured JSON data

Nice To Haves

  • Expertise in evaluating fundamental concepts like superposition, entanglement, and basic Qiskit implementations.
  • Experience in creating effective educational materials.
  • Familiarity with quantum software engineering, physics academia, quantum algorithm development, or technical curriculum design.

Responsibilities

  • Audit multiple-choice questions and correct answers for technical accuracy.
  • Identify and eliminate ambiguous distractor choices in the exam options.
  • Verify the accuracy of Qiskit code prompts and their associated grading rubrics.
  • Add edge test cases to evaluate the robustness of the coding questions.
  • Submit a corrected or fully approved JSON file containing the finalized exam paper.

Benefits

  • $11 one-time compensation
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