We're running a paid study on the quality and accuracy of introductory quantum computing assessments. It is critical that foundational concepts like superposition, entanglement, and logic gates are tested correctly and without ambiguity. This work feeds directly into improving technical education materials and rubrics for new quantum developers.
During an AI-moderated interview, you will review a structured file containing exam questions, distractors, and grading rubrics. You will evaluate multiple-choice options for technical accuracy and ensure that all incorrect choices are unambiguous. Additionally, you will verify Qiskit code prompts and suggest edge cases for existing test suites. Finally, you will provide verbal feedback on the overall difficulty and clarity of the exam material.
We are seeking quantum computing educators, researchers, and software engineers with a strong grasp of quantum information fundamentals. You must be comfortable writing and reviewing quantum circuits using Qiskit. We welcome quantum computing curriculum developers, academic instructors, and practicing quantum developers.