Computational Chemistry AI Evaluation Expert

Create challenging chemistry problems based on real simulation, modeling, and reaction workflows. Review AI-generated answers and explain whether their methods and conclusions are scientifically sound.

• Check responses for technical accuracy, reproducibility, and alignment with established chemistry practice.
• Write structured feedback that identifies weaknesses and can help improve AI model performance.
• Complete project tasks remotely and asynchronously.

• Time commitment: 20+ hours per week. The work is project-based and has no set schedule.
• Expertise in computational, physical, or theoretical chemistry.
• A PhD in a relevant chemistry discipline, or a master's degree combined with pharmaceutical or materials industry experience.
• First-author publications or experience running production-scale simulation or DFT workflows.
• Demonstrated depth in at least two of these areas is encouraged: quantum chemistry, molecular dynamics, cheminformatics, and reaction or thermodynamic modeling.
• Strong written communication and the ability to explain complex chemistry concepts clearly.
• Fluent written English and the ability to work independently in a remote, asynchronous setting.
• Experience with tools such as Gaussian, ORCA, Psi4, VASP, GROMACS, LAMMPS, and RDKit is helpful. Production simulation or DFT pipeline experience in pharmaceutical, materials, or energy research is also useful.