What We're Researching We're running a paid study on the quality and accuracy of introductory quantum computing assessments. Evaluating fundamental concepts like superposition, entanglement, and basic Qiskit implementations is critical for creating effective educational materials. Your expertise will help us refine these evaluation standards to ensure they are rigorous and technically sound. How It Works During this remote session, you will review a structured JSON dataset containing exam questions, distractors, and grading rubrics. You will audit multiple-choice options for technical correctness and eliminate any ambiguous distractor choices. Additionally, you will verify Qiskit code prompts and add edge test cases to improve the grading rubrics. The task concludes with you submitting a corrected or approved JSON file incorporating your expert feedback. Who This Is For We are looking for quantum computing practitioners, researchers, and educators with strong foundational knowledge of the field. We welcome quantum software engineers, physics academics, quantum algorithm developers, and technical curriculum designers. You should be highly familiar with fundamental quantum concepts, logic gates, and basic Qiskit programming.

What You'll Do

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. Who Should Apply 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 Compensation $11 one-time About Terac Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets. Learn more at or on YouTube at @jointerac. Experience: 1 year required