Source Job

• Identify appropriate computational chemistry packages and build problems that require their core capabilities.
• Develop full Python solutions with all necessary input files, geometries, and numerical outputs.
• Test problems against AI models, adjust difficulty to achieve a 10-30% pass rate, and refine based on reviewer feedback.

Austin Kake is building a talent pool of chemistry professionals to contribute to AI development projects. The company focuses on evaluating and enhancing frontier AI models in a remote, contract-based environment.