Chemistry & Python Expert – Freelance AI Trainer

Mindrift; Arizona; Remote; USD 86,000 - 123,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This collaboration is project-based, not permanent employment.

The opportunity involves designing computational chemistry problems solvable with Python, with 10–20 hours per week during active phases. Compensation can reach up to $76 per hour, depending on level and pace of contribution, with remote collaboration across the United States.

Qualifications

• Degree in Chemistry or related field.
• Proficient in Python for numerical validation; knowledge of MATLAB, R, C, SQL, NumPy, Pandas, SciPy or equivalent.
• At least 2 years of professional experience in applied, research, or teaching roles.
• Familiar with numerical methods and computational chemistry concepts.
• Strong written English (C1+).

Responsibilities

• Design original computational chemistry problems that simulate real chemistry research workflows.
• Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries).
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
• Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling.
• Base problems on real research challenges or practical applications from chemistry practice.
• Verify solutions using Python with standard computational chemistry approaches.
• Document problem statements clearly and provide verified correct answers.

Skills

Python

Numerical methods

Computational chemistry

Education

Chemistry degree or related field

Tools

MATLAB

R

C

SQL

NumPy

Pandas

SciPy

Stata

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What This Opportunity Involves

• Design original computational chemistry problems that simulate real chemistry research workflows;
• Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries);
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
• Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling;
• Base problems on real research challenges or practical applications from chemistry practice;
• Verify solutions using Python with standard computational chemistry approaches;
• Document problem statements clearly and provide verified correct answers

What We Look For

• Degree in Chemistry or related fields;
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
• 2+ years of professional experience: applied, research, or teaching experience is applicable;
• Experience with numerical methods in chemistry;
• Familiarity with computational chemistry concepts and methods;
• Strong written English (C1+)

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.