STEM Expert, Chemistry and Computational Chemistry (PhD)

You will help evaluate and improve AI systems by applying expert judgment to chemistry and computational chemistry tasks. The work covers experimental, analytical, and simulation-focused problems.

You will explain complex scientific ideas clearly to both technical and non-technical collaborators while documenting methods and best practices.

• Design, evaluate, and critique chemistry problems, workflows, and reasoning chains used in AI benchmarking.
• Assess reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods.
• Review experimental protocols, simulation parameters, and scientific software configurations for accuracy and reproducibility.
• Analyze chemical, spectroscopic, and simulation data and provide practical recommendations.
• Support the development and validation of chemistry-related AI models and tools.

• Pay: $45 to $90 per hour.
• Role type: Contractor and part-time.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United States, Uzbekistan, and Vietnam.
• Language: Professional written and spoken English at C1 level or higher.
• Education: PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related discipline.
• Research background: Hands-on wet-lab research for experimental specialties or extensive simulation-based research for computational specialties.
• Expertise: Deep knowledge in at least one area such as organic, inorganic, physical, analytical, computational, materials, or cheminformatics chemistry.
• Technical skills: Proficiency in Python or relevant scientific tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit.
• Other requirements: Strong quantitative, analytical, and scientific reasoning skills, rigorous problem-solving ability, and clear technical communication.
• Helpful background includes postdoctoral, research scientist, faculty, or equivalent academic experience; peer-reviewed publications, patents, open-source scientific software, AI or machine-learning-assisted chemistry benchmarking, drug discovery, reaction prediction, or retrosynthesis experience.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that learn from examples, including reviewing model answers, testing reasoning, and evaluating specialized content. Experts are needed to judge whether technical outputs are accurate, useful, and reproducible, especially in fields such as chemistry.