We are running a paid study on the scientific reasoning capabilities of advanced AI models. Our goal is to push the boundaries of how these systems handle complex, PhD-level problems in biology, chemistry, physics, and mathematics. This work directly feeds into developing more accurate and reliable technical reasoning engines.
How It WorksYou will create original, graduate-to-PhD-level academic problems within your specific area of STEM expertise. For each problem, you must provide a single verifiable answer along with a rigorous, step-by-step written solution. You may also be asked to review AI-generated responses to identify specific logical or factual reasoning errors. The workflow requires careful technical writing and a deep commitment to academic accuracy.
Who This Is ForWe are hiring individuals with deep subject-matter knowledge and strong analytical reasoning skills in STEM fields. We welcome PhD candidates, postdoctoral researchers, university faculty, and industry professionals with equivalent advanced academic backgrounds. Candidates must have extensive experience solving, teaching, or developing rigorous technical problems in biology, chemistry, physics, mathematics, or engineering.
What You'll DoDraft original, graduate-level academic problems in your area of STEM expertise.
Write rigorous, step-by-step solutions with exact, verifiable answers.
Review AI-generated technical responses to spot logical fallacies or factual errors.
Apply careful technical writing standards to all submitted materials.
PhD candidate, postdoctoral researcher, faculty member, or advanced STEM expert.
Deep subject-matter expertise in biology, chemistry, physics, mathematics, or engineering.
Experience teaching, reviewing, or developing advanced academic problems.
Ability to pass a project-instructions assessment and identity verification.
$100 per task
Start your paid interview now
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.
Similar Jobs
.png)
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
