Research Scientist, Computer Science Computational Physics

You will use AI models and agents to explore research problems, test their reasoning, and assess whether their results are correct and original. The work combines computer science with computational or mathematical physics.

You will document methods, partial results, challenges, and useful next steps in clear written reports. You may also surface promising research paths for further work by senior research professionals.

• Identify open problems, new bounds, and research challenges in your specialty.
• Use AI models and agents to attempt proofs, develop algorithms, and run computational simulations.
• Check proofs, reproduce numerical results, and use formal tools when appropriate.
• Compare findings with recent literature and published results to assess novelty and correctness.

This is a contractor role open to candidates in the listed countries. The role is marked as entry level, and the work is available on a flexible part-time or full-time basis.

The role requires advanced research ability in computer science or computational or mathematical physics, along with strong recent publications and hands-on technical experience.

• Pay: $100 to $400 per hour.
• Schedule: Flexible part-time or full-time work.
• 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, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Language: Professional fluency in English.
• Experience: Late-stage PhD candidate, postdoctoral researcher, or early-career academic with up to five years after the PhD.
• Specialization: Computer science or computational or mathematical physics.
• Research record: Strong recent publications, including work on open problems or novel concepts.
• Technical skills: Simulation, numerical analysis, algorithmic implementation, and rigorous evaluation of proofs, numerical results, algorithms, and research claims.
• Helpful background: Best paper or dissertation recognition, conference reviewing, scholarly use of AI models or agents, Lean, SAT or SMT solvers, or similar formal computational tools.
• A public research statement or homepage describing specific open problems under investigation is welcome.

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.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 8 screening questions.

AI training work uses human review to help artificial intelligence systems learn from examples and produce better results. People with research expertise are needed to test model reasoning, identify errors, and judge whether technical outputs are sound.