The work
You will help train AI systems by creating difficult chemistry problems and realistic scenarios based on simulation, modeling, reaction, and thermodynamic workflows. You will also assess AI-generated answers and explain where they are accurate, incomplete, or impractical.
The duties and qualifications should be reviewed before applying to ensure they match your background and the role details.
- Create expert-level computational chemistry problems based on real workflows.
- Review AI-generated responses for technical accuracy, reproducibility, and practical alignment.
- Write structured feedback that helps improve AI model performance.
- Use independent judgment and complete tasks at your own pace.
What it pays and takes
This is a remote, project-based contractor role that can fit alongside other professional or research commitments. The role is open to candidates in the United States.
- Pay: Up to $42 per hour.
- Schedule: Part time, with a requirement of 20 or more hours per week.
- Language: Professional fluency in English and strong written communication.
- Education: A PhD in chemistry or a related field, or an MS with pharmaceutical or materials-industry experience.
- Expertise: Advanced knowledge of computational, physical, or theoretical chemistry.
- Experience: First-author publications or production-scale simulation or DFT workflow experience.
- Technical depth: Quantum chemistry, molecular dynamics, cheminformatics, or reaction and thermodynamic modeling.
- Helpful tools: Gaussian, ORCA, Psi4, VASP, GROMACS, LAMMPS, or RDKit.
- Helpful experience: Production simulation or DFT pipelines in pharmaceutical, materials, or energy research.
- Strengths: Attention to detail and the ability to explain complex chemistry concepts clearly.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is free to join and helps people find AI training and data-labeling projects in one place.
About AI training work
AI training is the human work behind artificial intelligence. People create examples, review model responses, and rate quality so AI systems can produce more accurate and useful results.
Experienced specialists are needed when a project involves technical subjects such as computational chemistry, because they can judge whether an answer is scientifically sound and workable in practice.