Remote Computational Chemist (PhD) for AI Model Calibration

mercor; United States; Remote; USD 83,000 - 124,000; Full time

Job summary

Mercor is offering a remote contract to a Chemistry PhD coding expert for 6 weeks, approx. 20+ hours per week. You will source material from papers and datasets, craft prompts to challenge AI models, and establish grading criteria for scientific tasks.

Ideal candidates have a PhD in chemistry-related fields, deep quantum/computational chemistry knowledge, and experience with Python or R, GitHub, and Docker. Remote, contract-based role.

Qualifications

• PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or closely related field.
• Depth in both quantum chemistry and computational chemistry.
• Proficiency in Python or R for scientific computing.
• Experience with Git/GitHub and running code in Docker.

Responsibilities

• Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on the input to challenge current AI models.
• Build grading criteria that define correct answers for scientific tasks.
• Calibrate tasks against frontier models, ensuring them are challenging for strong models.
• Work independently and asynchronously to meet deadlines while improving AI model performance

Tools

Python

R

Git/GitHub

Docker

Job description

Mercor is offering a remote contract to a Chemistry PhD coding expert for 6 weeks, approx. 20+ hours per week. You will source material from papers and datasets, craft prompts to challenge AI models, and establish grading criteria for scientific tasks.

Ideal candidates have a PhD in chemistry-related fields, deep quantum/computational chemistry knowledge, and experience with Python or R, GitHub, and Docker. Remote, contract-based role.