The Work

You will support AI benchmarking and model development through careful computational chemistry analysis. The work includes reviewing advanced chemistry workflows, interpreting molecular simulation and quantum chemistry results, and recommending ways to improve the accuracy and reproducibility of chemistry-related AI systems.

You will also document methods and findings, explain complex scientific ideas to technical and non-technical collaborators, and help validate chemistry-focused AI models and tools.

- Design, evaluate, and critique computational chemistry workflows for AI benchmarking.
- Analyze molecular dynamics, quantum chemistry, and drug discovery data.
- Review simulation parameters and scientific software configurations for accuracy and reproducibility.
- Apply knowledge of molecular simulations, electronic structure methods, and cheminformatics pipelines.
- Guide the development and validation of chemistry-related AI models and tools.
- Document findings, methods, and best practices for knowledge sharing.

What It Pays And Takes

This is a remote contractor opportunity with a adaptable schedule and flexible project duration. The role is listed as entry level, while the work requires advanced subject knowledge and either a PhD or equivalent industry or research experience.

- Pay: $45 to $90 per hour.
- Work type: Remote contractor role.
- Schedule: Flexible; project duration is determined for the engagement.
- 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, Italy, 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.
- Education and experience: PhD in chemistry, computational chemistry, or a closely related field, or equivalent industry or research experience.
- Language: Professional written and spoken English at C1 level or higher.
- Technical skills: Python, scientific programming, quantitative analysis, and analytical workflow development.
- Useful software knowledge: Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel.
- Helpful background: AI or machine-learning-assisted chemistry workflows, benchmarking, peer-reviewed publications, patents, open-source scientific software, drug discovery, spectroscopy analysis, reaction prediction, or retrosynthesis.

About AI Training Work

AI training is the human work behind systems that learn from examples, including reviewing model outputs, testing workflows, and assessing technical results. People with deep expertise are needed to judge whether specialized AI systems produce accurate, useful, and reproducible work.

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