About the job
We invite you to submit your CV in English, including your proficiency level in the language.
Mindrift specializes in connecting skilled professionals with project-based AI roles at top-tier tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Note: This is a project-based engagement and not a full-time position.
Opportunity Overview:
While each project presents distinct challenges, contributors may be involved in:
- Crafting original computational physics problems that emulate authentic research workflows;
- Developing tasks that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensuring that problems are computationally demanding, taking days or weeks to solve manually;
- Creating scenarios that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Designing problems based on real-world research challenges or practical applications in physics;
- Validating solutions through Python using established physics simulation libraries;
- Providing clear documentation of problem statements along with verified solutions.
Candidate Profile:
This role is ideal for physicists with Python experience who are interested in flexible, part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;
- Proficiency in Python for numerical validations, with experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or any equivalent programming language;
- A minimum of 2 years of professional experience in applied physics, research, or teaching;
- Experience in numerical simulation techniques;
- A talent for designing problems that reflect real physics research processes;
- Innovative thinking in problem creation spanning various physics domains;
- Familiarity with modeling and approximation methodologies;
- Exceptional written English skills (C1+ level).
Project Workflow:
Apply → Pass qualifications → Engage in a project → Complete assigned tasks → Receive compensation
Project Commitment:
During active phases, tasks are projected to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload during the project duration.
Compensation:
Contributors can earn up to $35 per hour, dependent on their experience level and contribution speed. Compensation varies by project based on scope, complexity, and expertise required. Please note that other projects on the platform may have differing pay scales based on their specific requirements.
