About the job
We encourage you to submit your CV in English, along with your English proficiency level.
Mindrift is dedicated to connecting talented professionals with project-based opportunities in AI for top-tier technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role and does not guarantee permanent employment.
Role Overview
Each project presents unique challenges, and contributors may be tasked with:
- Creating complex physics problems that reflect industry practices;
- Assessing AI solutions for accuracy, assumptions, and limitations;
- Validating calculations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);
- Enhancing AI reasoning to meet industry standards;
- Implementing structured scoring criteria for multi-step problems.
Ideal Candidate Profile
This role is particularly suitable for physicists experienced in Python who are interested in part-time, non-permanent projects. Desired qualifications include:
- A degree in Physics or related disciplines such as Engineering Physics, Thermodynamics, Statistical Mechanics, or Optics and Acoustics;
- A minimum of 3 years of professional experience in physics;
- Proficient written English skills (C1/C2 level);
- Advanced Python skills for numerical validation;
- A reliable internet connection.
Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are advantageous.
Application Process
Apply → Complete qualification(s) → Join a project → Perform tasks → Receive payment.
Project Time Commitment
Project tasks are estimated to require around 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.
Compensation
- Compensated contributions, with rates of up to $30/hour*
- Fixed project rates or individual assessments depending on the project;
- Some projects may offer incentive payments.
*Note: Compensation rates may vary based on expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for specialized experts, while lower rates may apply during onboarding or non-core project phases. Payment details will be provided per project.

