PhD Chemist, AI Expert
New
W
Weekday AIAI training
Remote (United States); Must be currently based in the United States.ContractSenior
Salary90 - 140 USD per hour
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Job Details
Requirements
- Hold a PhD in Chemistry, Chemical Engineering, or a closely related scientific discipline.
- Have senior-level academic or research experience, such as a faculty appointment, Principal Investigator role, Staff Scientist or Senior Scientist position, or equivalent senior research position.
- Have deep specialization in at least one listed chemistry domain: organic and synthetic, physical, computational, inorganic, materials, analytical, chemical biology, or theoretical chemistry.
- Have a strong peer-reviewed research publication record.
- Have hands-on experience using Large Language Models (LLMs) and AI tools in scientific, academic, or research workflows.
- Demonstrate analytical and critical-thinking abilities to identify chemical inaccuracies and evaluate complex scientific reasoning.
- Be able to provide precise, structured, technically sound written feedback.
- Be currently based in the United States.
- Work on an independent contractor basis.
Responsibilities
- Review chemistry-related tasks and AI-generated outputs for scientific accuracy, logical consistency, and research-level rigor.
- Identify implausible reaction mechanisms, infeasible reactions, stoichiometric inconsistencies, thermodynamic errors, and incorrect spectral interpretations.
- Develop precise, challenging, research-level chemistry problem statements.
- Create detailed reference solutions with chemical equations, reaction mechanisms, calculations, and explanations.
- Design advanced chemistry problems, evaluation datasets, and benchmarks in areas of specialization.
- Evaluate AI-generated chemical reasoning, experimental approaches, reaction predictions, and theoretical explanations.
- Collaborate with AI researchers and subject matter experts to establish evaluation methodologies and improve model performance.
- Translate chemical expertise into structured feedback, evaluation criteria, and measurable quality standards.
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