Chemistry & Python Expert - Freelance AI Trainer
Mindrift
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Austin, TX
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Mid-Senior level
Posted April 4, 2026
3 variants
Job link
Thinking about this job
Responsibilities
Commitments
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
- This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects.
Commitments
Participation is project-based, not permanent employment.
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- Verify solutions using Python with standard computational chemistry approaches;
- This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects.
- 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+)
- For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.
Preferred Skills
- This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects.
- 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;
Education
- (Not required) – Please submit your CV in English and indicate your level of English proficiency.
- (Not required) – Degree in Chemistry or related fields;
Please submit your CV in English and indicate your level of English proficiency.
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
While each project involves unique tasks, contributors may:
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
This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
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+)
How It Works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
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.
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
While each project involves unique tasks, contributors may:
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
This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
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+)
How It Works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
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.