You will help train and benchmark AI systems by designing, evaluating, and critiquing chemistry problems, workflows, and reasoning chains. The work covers experimental chemistry, computational chemistry, analysis, and scientific software.
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-related AI models and tools.
- Assess reaction mechanisms, synthesis plans, spectroscopy analysis, molecular simulations, and electronic structure methods.
- Review experimental protocols, simulation settings, and scientific software configurations for accuracy and reproducibility.
- Analyze chemical, spectroscopic, and simulation data.
- Support the development and validation of chemistry-focused AI models and tools.
What It Pays And Takes
This is a part-time contractor opportunity. The structured experience level is entry level, while the role requires advanced academic and technical qualifications.
- Pay: $45 to $90 per hour.
- Work type: Part-time contract work.
- Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, and Italy.
- Location: Also open to candidates in Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, 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.
- 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 scientific tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit.
- Core abilities: Strong quantitative, analytical, and scientific reasoning, rigorous problem-solving, and clear technical communication.
- Helpful background: Postdoctoral, research scientist, faculty, or equivalent academic experience; peer-reviewed publications, patents, open-source scientific software, AI-assisted chemistry benchmarking, drug discovery, reaction prediction, or retrosynthesis.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that learn from reviewed examples. Chemistry experts help evaluate scientific reasoning, data, and model outputs so these systems become more accurate and useful.