Experts will evaluate technically demanding problems involving atomistic simulations, materials properties, computational methodologies, and scientific reasoning. The ideal candidate has extensive hands-on experience with density functional theory (DFT), molecular dynamics (MD), and other atomistic modelling techniques, alongside a strong understanding of the underlying physical principles.

• Commitment: Minimum 10 hours per week, with potential for up to 40 hours per week.

Why Join Mercor?

• Apply advanced computational expertise to frontier AI research.
• Help develop AI systems capable of understanding and solving sophisticated materials science problems.
• Work on challenging scientific evaluations involving quantum mechanics, atomistic simulations, and materials discovery.
• Collaborate with teams working at the intersection of AI and scientific research.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

• Evaluate advanced scientific problems involving atomistic simulations and computational materials science.
• Review and validate AI-generated answers involving DFT calculations, molecular dynamics, and materials property predictions.
• Assess the appropriateness of computational methods, simulation parameters, convergence criteria, and physical assumptions.
• Analyse atomic structures, electronic properties, reaction energetics, diffusion mechanisms, and materials stability.
• Evaluate surface and interface phenomena, adsorption energies, defect formation, and chemical reaction pathways.
• Develop high-quality reference solutions, evaluation rubrics, and technically rigorous scientific explanations.
• Identify computational inaccuracies, methodological limitations, and errors in scientific reasoning.
• Apply computational expertise to improve AI performance on complex materials science problems.

Work arrangement: Fully remote