Chemistry Expert (India) for AI Evaluation

Create advanced chemistry problems and scenarios based on real computational workflows, then evaluate AI-generated answers for accuracy and reproducibility. The work focuses on established approaches to simulation, modeling, reactions, and thermodynamics.

The duties and qualifications need review before applying.

• Write expert-level problems grounded in computational chemistry workflows.
• Review AI responses against accepted computational practice.
• Give structured written feedback that explains errors and how responses can improve.
• Apply your judgment in areas such as quantum chemistry, molecular dynamics, cheminformatics, reaction modeling, or thermodynamic modeling.

What it pays and takes

• Pay: Up to $42 per hour.
• Time: 20+ hours per week, with a flexible schedule.
• Location: Open to candidates in India.
• Work type: Part-time, project-based contract work that can be done remotely alongside another role.
• Education: A PhD in computational, physical, or theoretical chemistry, or an MS plus experience in the pharmaceutical or materials industry.
• Experience: First-author publications or experience running production-scale simulation or DFT workflows.
• Expertise: Depth in quantum chemistry, molecular dynamics, cheminformatics, or reaction modeling. Candidates who meet at least two of the three core qualifications are encouraged to apply.
• Communication: Strong written English and the ability to explain complex chemistry clearly.
• Work style: Attention to detail and the ability to work independently in a remote, asynchronous setting.
• Helpful experience: Multiple tools such as Gaussian, ORCA, Psi4, VASP, GROMACS, LAMMPS, or RDKit, and production simulation or DFT pipelines in pharmaceutical, materials, or energy research.

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-written examples and reviews to help AI systems give more accurate answers. Experts are paid for applying field knowledge to create challenging tasks and assess whether model responses meet real-world technical standards.