About the job
Please submit your CV in English and indicate your English proficiency level.
Mindrift connects talented specialists with project-based AI opportunities from leading technology firms. Our focus is on testing, evaluating, and enhancing AI systems. This is a project-based engagement, not a permanent position.
Opportunity Overview
Each project presents unique challenges, and contributors may be involved in:
- Creating complex physics problems that simulate professional scenarios;
- Assessing AI solutions for accuracy, underlying assumptions, and constraints;
- Validating calculations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);
- Enhancing AI reasoning to conform to industry-standard logical frameworks;
- Implementing structured scoring criteria for multi-step problems.
Candidate Profile
This position is ideal for physicists experienced in Python and looking for part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Physics or related fields, such as Engineering Physics, Thermodynamics, Statistical Mechanics, Optics, or Acoustics;
- A minimum of 3 years of professional experience in physics;
- Excellent written English skills (C1/C2 level);
- Strong proficiency in Python for numerical validation;
- A reliable internet connection.
Holding professional certifications (e.g., CPhys, EurPhys, MInstP) and having experience with international or applied projects will be considered advantageous.
Application Process
Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.
Project Duration and Workload
For this role, tasks are estimated to require approximately 10–20 hours per week during active project phases, depending on specific project demands. Please note, this is an estimate and not a guaranteed workload.
Compensation
- Compensated contributions, with rates up to $34/hour*
- Fixed project rates or individual rates, subject to the project's requirements
- Some projects may offer incentive payments
*Note: Rates are influenced by expertise, skills assessment, location, project needs, and other factors. Higher rates may be available for highly specialized experts, while lower rates may apply during onboarding or non-core project phases. Payment specifics will be communicated per project.

