Chemistry AI Training Expert

You will help train and benchmark AI systems by applying expert judgment to chemistry and computational chemistry work. The projects may cover experimental chemistry, analysis, molecular simulation, and electronic structure methods.

You will explain complex scientific ideas clearly to both technical and non-technical collaborators. You will also document methods and best practices and provide recommendations that improve chemistry-focused AI models and tools.

• Design, evaluate, and critique chemistry problems, workflows, and reasoning chains used 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.
• Support the development and validation of chemistry-related AI models and tools.

This is a part-time contractor opportunity for experienced chemistry and computational chemistry specialists. The role requires advanced academic training and strong scientific communication.

• Pay: $45 to $90 per hour.
• 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.
• Also open in Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Education:
  
  PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related discipline.
• Research experience: 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.
• 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.
• Skills:
  
  strong quantitative, analytical, and scientific reasoning, rigorous problem-solving, and clear technical communication.
• Helpful background includes postdoctoral, research scientist, faculty, or equivalent academic experience; peer-reviewed publications; patents; open-source scientific software; or experience with AI-assisted chemistry benchmarking, drug discovery, reaction prediction, or retrosynthesis.

AI training is the human work behind systems that learn from examples, including evaluating model answers, reviewing reasoning, and checking technical results. Open Train helps people find these projects, build a profile, and apply in one place, while specialist expertise is used to make AI outputs more accurate and reliable.