Computational Chemist - Fully Remote | Upto $70/hr

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

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Chemistry PhD Coding Experts Type: Contract Compensation: $70/hour Location: Remote Duration: 6 weeks Commitment: 20+ hours/week

Role 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

Qualifications Must-Have

• PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field.
• Demonstrated depth in both quantum chemistry and computational chemistry .
• Working proficiency in Python , R , or another relevant programming language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker .

Preferred

• Publications in peer-reviewed journals.
• Prior scientific software or research engineering experience.