Principal Research Scientist, Computer Science and Physics

You will help evaluate and improve advanced AI systems by guiding models through difficult research problems in computer science and computational physics. The work calls for careful judgment about whether model-generated research is correct, novel, meaningful, and reproducible.

You will lead research tasks involving theory, algorithms, numerical analysis, simulation, formal methods, and high-performance computing. You will also document research attempts, partial solutions, model limitations, and repeated failure patterns.

• Identify foundational open problems, theoretical bounds, and simulation challenges with results that can be checked.
• Direct multi-step work involving proofs, algorithms, numerical experiments, and high-performance computing.
• Validate outputs through proof checks, computational reproduction, and formal methods.
• Assess the novelty, correctness, and importance of research results against current literature.
• Recommend research areas and open problems that are suitable for progress with AI models and computational tools.

This is a remote contractor role with flexible part-time or full-time availability. The listed experience level is entry level, while the role also calls for substantial research expertise and a strong scholarly record.

• Pay: $100 to $400 per hour.
• Work arrangement: Remote contractor work with flexible part-time or full-time availability.
• Location: Open to candidates in the countries listed for this role, including the United States, Canada, the United Kingdom, India, Japan, Brazil, and South Africa.
• Language: Fluent in English.
• Experience: 7 to 10 or more years of active research experience in computer science, mathematical physics, or computational physics.
• Research record: Recent publications in leading venues and strong scholarly contributions.
• Technical skills: Hands-on experience with simulation, numerical analysis, algorithmic implementation, or high-performance computing.
• Core ability: Rigorously examine technical work outside your immediate area of expertise.
• Valued background: Resolving named open problems or introducing influential concepts adopted by peers.
• Helpful experience: Major field prizes, society fellowships, plenary or invited talks, best paper awards, program committees, editorial boards, Lean, Coq, SAT or SMT solvers, or public research involving advanced AI systems.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training work is the human side of building artificial intelligence. Researchers and other specialists review model outputs, test whether reasoning is correct, and provide examples that help AI systems improve, with experienced contributors valued for their subject knowledge and judgment.