Quantum Computing Experts: Review for a Beginner Exam

Remote solely

About this role

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

Ready to participate?

Start your paid interview now

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 terac.com or on YouTube at @jointerac.

Company at a glance

Terac is an AI-native two-sided marketplace headquartered in downtown San Francisco that connects enterprises with specialized expertise to high-quality professionals on demand. The company's mission is to fundamentally change how labor is allocated globally by using AI-driven matchmaking to connect experts with work opportunities based on thousands of signals about capability, performance, preferences, and potential. Currently placing thousands of experts per month across 50+ projects for 25+ clients, Terac serves leading AI research companies, market research firms, data companies training AI models, and research organizations. With a panel of 100,000+ professionals and ambitions to scale to 10 million, the company has achieved an eight-figure annual run rate and expects to exceed $10 million in revenue in the next year. Having raised $9 million in seed funding, Terac is preparing to launch a Series A round while rapidly expanding its team from 4-5 people to approximately 15 members, with plans to reach 30 by year end.

Founded2024
Team Size11-50
WorkspaceRemote solely
IndustryInternet Marketplace Platforms
Location
United States
Websiteterac.com
LinkedInLinkedIn

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