About the job
We invite you to submit your CV in English, highlighting your proficiency in the language.
Mindrift specializes in connecting talented professionals with project-based AI initiatives at leading technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and does not constitute permanent employment.
Opportunity Overview
Each project presents unique challenges, and as a contributor, you may be tasked with:
- Creating rigorous physics problems that mirror real-world professional practices;
- Assessing AI solutions for accuracy, underlying assumptions, and constraints;
- Validating calculations or simulations through Python (utilizing libraries such as NumPy, Pandas, and SciPy);
- Enhancing AI reasoning to conform to industry-standard logical frameworks;
- Implementing structured scoring criteria for complex, multi-step problems.
Ideal Candidate Profile
This role is particularly suited for physicists with Python experience seeking part-time, non-permanent project opportunities. The ideal candidate will possess:
- A degree in Physics or related fields, such as Engineering Physics, Thermodynamics, Statistical Mechanics, or Acoustics;
- A minimum of 3 years of professional experience in physics;
- Advanced proficiency in English (C1/C2 level);
- Strong Python skills for numerical validation;
- A reliable internet connection.
Possession of professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects will be considered advantageous.
How the Process Works
Apply → Successfully complete qualifications → Join a project → Perform assigned tasks → Receive payment.
Project Commitment Expectations
For this project, you can anticipate dedicating approximately 10–20 hours per week during active phases, contingent upon project requirements. This estimate may vary based on the project's demands.
Compensation
- Paid contributions, with rates reaching $55/hour*
- Compensation may be fixed or tailored to individual projects;
- Some projects may offer incentive payments.
*Note: Compensation rates vary based on a range of factors including expertise, skills assessment, geographic location, and specific project needs. Highly specialized experts may receive higher rates. Lower rates may apply during onboarding or non-core phases of the project. Payment specifics will be provided per project.

