Chemistry & Python Expert - Freelance AI Trainer

March 30, 2026
Open
Open
Location
Vietnam
Occupation
Part-time
Experience level
Mid-level
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Job Summary

Mindrift offers remote, project-based opportunities connecting specialists with top tech companies to test and improve AI systems. Participants design advanced computational chemistry challenges simulating research workflows, verify solutions via Python, and clearly document problem statements and answers. Engagements are temporary, with flexible weekly hours (estimated 10–20) during active projects, and compensation can reach up to $35 per hour.

Ideal candidates hold a degree in Chemistry or a related field, have Python programming proficiency (or equivalent skills in MATLAB, R, etc.), and at least 2 years' experience in applied, research, or teaching roles. Familiarity with computational chemistry methods and strong written English (C1+) are essential. Additional tech stacks include Numpy, Pandas, SciPy, and domain-specific libraries.

This is a part-time, non-permanent, and fully remote role—ideal for chemistry professionals seeking flexible project work in the AI and technology space.

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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 $35 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.

Apply now
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Mindrift
Welcome to Mindrift — a space where innovation meets opportunity. We're a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. Our focus lies in creating data for generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time. At Mindrift, we believe in the power of collective intelligence to shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for greater relevance. Let's build the future of AI together, one task at a time.
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1,001-5,000
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Information Technology & Services
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