Computational Chemistry AI Evaluation Expert

The work

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.

What it pays and takes

• Pay: Up to $65 per hour.
• Time commitment: 20+ hours per week. The work is project-based and has no set schedule.
• Location: Open to candidates in the UK.
• 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.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human-created examples and feedback to help improve AI systems. Experts are paid to assess technical answers and explain where they do or do not match real scientific practice.