Computer Science and Physics Research Scientist

You will support AI training by using advanced AI models and agents to investigate research questions in computer science and computational or mathematical physics. The work combines proof attempts, algorithm development, simulations, literature review, and careful technical reporting.

You will assess whether research outputs are correct, reproducible, and potentially novel. Your reports will explain the methods used, partial results, challenges, and promising directions.

• Identify open problems, new bounds, and research challenges that can be investigated.
• Use AI models and agents to attempt proofs, develop algorithms, and run computational simulations.
• Verify proofs, reproduce numerical results, and use formal tools when appropriate.
• Compare findings with recent published research to assess correctness and novelty.
• Write thorough reports covering methods, results, challenges, and next steps.

This is a contract role with flexible part-time or full-time engagement. The work calls for advanced research experience and strong judgment when evaluating proofs, numerical results, algorithms, and research claims.

• Pay: $100 to $400 per hour.
• Schedule: Flexible; part-time or full-time engagement.
• Experience level: Entry level.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, the Palestinian territories, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Language: Fluent English.
• Research background: Late-stage PhD candidate, postdoctoral researcher, or early-career academic in computer science or mathematical or computational physics.
• Publication record: Multiple papers at leading venues, or work addressing open problems and novel concepts.
• Technical skills: Simulation, numerical analysis, algorithmic implementation, and careful evaluation of research claims.
• Helpful experience: Frontier AI models, AI agents, Lean, SAT or SMT solvers, or other formal computational tools.
• Application materials: A public research statement or homepage describing specific open problems under investigation.
• Additional helpful background: A best paper award, dissertation award, competitive fellowship, or experience reviewing or sub-reviewing for prominent conferences.

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 is the human work behind artificial intelligence. Contributors test models, review outputs, prepare examples, and provide research or technical feedback so AI systems can improve; experienced specialists are paid for applying their subject knowledge and careful judgment.