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.
This is an estimate, not a guaranteed workload, and appli.