STEM Expert Chemistry and Computational Chemistry PhD

You will help evaluate and improve AI systems through chemistry problem-solving and technical review. The work covers both experimental and computational chemistry, with a focus on accurate reasoning, reproducible methods, and useful scientific recommendations.

• Design, evaluate, and critique chemistry and computational chemistry problems for 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 actionable recommendations.
• Help develop and validate chemistry-related AI models and tools.
• Document methods, findings, and best practices for clear technical knowledge transfer.

This is a part-time contractor role for candidates with advanced chemistry expertise. The work may suit someone focused on experimental chemistry, computational research, or both.

• Pay: $45 to $90 per hour.
• Work type: Part-time contract work.
• Location: Open to candidates in the countries listed for this role, including the United States, Canada, the United Kingdom, India, Japan, Brazil, and other eligible locations.
• Education: PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field.
• Research background: Hands-on wet-lab research experience for experimental work, or extensive simulation-focused research for computational work.
• Expertise: Deep knowledge in at least one chemistry specialty.
• Language: Professional written and spoken English at C1 level or higher.
• Tools: Proficiency in Python or scientific tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit.
• Core skills: Quantitative analysis, scientific reasoning, documentation, and communication.
• Helpful background: Postdoctoral research, research scientist or faculty experience, peer-reviewed publications, patents, open-source scientific software, chemistry benchmarking with AI or machine learning, drug discovery, reaction prediction, or retrosynthesis.

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.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.

AI training is the human work behind systems that learn from examples, including reviewing model answers, testing reasoning, and checking technical accuracy. People with specialist knowledge are needed to judge whether AI-generated work is scientifically sound and useful. OpenTrain helps people find these roles, build a profile, and apply in minutes.