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.
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.
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.
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.
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
$11 one-time
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 terac.com or on YouTube at @jointerac
Terac is building the infrastructure layer that connects AI systems with on-demand human expertise.
We believe the future of work is shifting: instead of humans using AI to do most tasks, AI will increasingly do most work with the help of humans. In that world, companies won’t need traditional employees - but they will still need people. Terac powers that future by making high-quality human labor accessible through a single API.
Today, Terac operates as an expert network for frontier research. We handle sourcing, verification, screening, and payouts so partners can instantly access specialized talent for research, evaluation, and data generation. Our platform enables companies to tap into niche expertise on demand while focusing on building their core products.
Backed by $9M from Emergence, SignalFire, Audacious, and Z Fellows, we’re scaling from research tooling into a broader marketplace for the human data economy - building systems for expert matching, pricing, routing, and trust that will define how AI and humans collaborate at scale.
