The work
You will help improve AI systems by creating challenging computational chemistry problems and reviewing their answers. Your feedback will assess whether the chemistry is accurate, reproducible, and useful in professional work.
- Create expert-level problems based on simulation, modeling, reaction, and thermodynamic workflows.
- Review AI-generated chemistry responses for technical accuracy and reproducibility.
- Assess whether explanations and workflows match professional computational chemistry practice.
- Write structured feedback to help improve AI model performance.
- Use sound judgment when evaluating complex chemistry content.
- Complete project tasks independently in a remote, asynchronous setting.
What it pays and takes
- Pay: up to $65 per hour.
- Time: 20+ hours per week.
- Work arrangement: part-time, contract, remote, and asynchronous.
- Location: Open to candidates in the United States.
- Language: fluent in English.
- Expertise: computational, physical, or theoretical chemistry.
- Education: PhD in computational, physical, or theoretical chemistry, or an MS with pharmaceutical or materials industry experience.
- Experience: first-author publications or production-scale simulation or DFT workflow experience.
- Specialization: depth in at least one of quantum chemistry, molecular dynamics, cheminformatics, or reaction and thermodynamic modeling.
- Skills: clear written communication, attention to detail, and the ability to explain complex chemistry concepts.
- Helpful tools: Gaussian, ORCA, Psi4, VASP, GROMACS, LAMMPS, and RDKit.
- Helpful experience: production simulation or DFT pipelines in pharmaceutical, materials, or energy research, plus work across multiple chemistry software platforms.