This is not a traditional job — you'll draw on your hands-on experience in computational, physical, or theoretical chemistry to evaluate AI-generated content and provide feedback that helps AI reason like a practicing chemist.

This is an ongoing, project-based opportunity you can take on alongside your current role.

Complete tasks at your own pace with no set schedule or minimum hour requirement.

• Use your domain expertise to create expert-level computational chemistry problems and scenarios grounded in real simulation, modeling, and reaction workflows.
• Review and evaluate AI-generated responses for technical accuracy, reproducibility, and alignment with how the work is actually done.
• Provide structured written feedback to help improve AI model performance.

Ideal candidates meet all three of the following:

• Industry/research experience — first-author publications or a track record of running production-scale simulation/DFT workflows.
• Degree — PhD in Computational, Physical, or Theoretical Chemistry. An MS paired with pharma or materials industry experience also qualifies.
• Sub-domain depth — demonstrated expertise in one of the following areas:
  • Quantum chemistry (Gaussian, ORCA, Psi4, VASP).
  • Molecular dynamics (GROMACS, LAMMPS).
  • Cheminformatics (RDKit) and reaction/thermodynamic modeling.

Candidates who meet at least 2 of the 3 qualifications above are also encouraged to apply.

Additional qualifications (not required, but strengthen your application)

• Proficiency across multiple quantum chemistry, MD, and cheminformatics platforms.
• Experience running production simulation or DFT pipelines in a pharma, materials, or energy research setting.

Required for all applicants

• Must have Indian work authorization.
• Strong written communication and attention to detail.
• Ability to explain complex chemistry concepts clearly.
• Ability to work independently in a remote, asynchronous environment.

Work arrangement: Fully remote

Eligible countries: India