- Remote
- Remote
- Contract
In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Responsibilities
- Design, evaluate, and critique chemistry and computational chemistry problems, workflows, and reasoning chains to support AI benchmarking initiatives.
- Provide expert-level insights on reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods.
- Assess and optimize experimental protocols, simulation parameters, and software configurations for accuracy and reproducibility.
- Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations.
- Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
Requirements
- PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field.
- Nice to have: Academic experience (postdoc, research scientist, faculty, or equivalent)
- Nice to have: Peer-reviewed publications
- Nice to have: Patents
- Nice to have: Open-source scientific software contributions