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.
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