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Freelance AI Trainer: Physics Expert with Python Skills

MindriftRemote — Pretoria, Gauteng, South Africa
Remote Contract $26/hr - $26/hr

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Experience Level

Experience

Qualifications

Ideal candidates should possess the following qualifications:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is also acceptable;At least 2 years of practical experience, whether in applied, research, or educational settings;Experience with numerical simulation techniques;Adeptness in designing problems that simulate authentic physics research workflows;Creative approach to problem design across various physics disciplines;Knowledge of physics modeling and approximation methods;Excellent written English skills (C1+ level).

About the job

We invite you to submit your CV in English, clearly indicating your level of proficiency in the language.

Mindrift is dedicated to connecting talented specialists with project-based opportunities in the realm of artificial intelligence, specifically for leading technology firms. Our focus lies in the rigorous testing, evaluation, and enhancement of AI systems. Please note that participation is strictly project-based and does not constitute permanent employment.

Opportunity Overview

As a contributor, you will engage in various unique projects, which may include:

  • Crafting innovative computational physics problems that emulate authentic research workflows;
  • Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);
  • Ensuring that the problems are computationally demanding and cannot be solved manually within a reasonable timeframe (days/weeks);
  • Developing challenges that require intricate reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
  • Grounding problems in genuine research challenges or practical applications within the field of physics;
  • Validating solutions using Python alongside standard physics simulation libraries;
  • Clearly documenting problem statements and providing verified solutions.

Candidate Profile

This opportunity is ideal for physicists with experience in Python who are open to part-time, non-permanent project work. Preferred qualifications include:

  • A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;
  • Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is also acceptable;
  • A minimum of 2 years of professional experience in applied physics, research, or teaching;
  • Experience with numerical simulation methods;
  • The capability to design problems that reflect real-world physics research workflows;
  • Creative problem design skills across various physics domains;
  • A solid understanding of physics modeling and approximation techniques;
  • Strong written English skills (C1+ level).

Application Process

To apply, please follow these steps: Submit your application → Pass the qualification assessments → Join a project → Complete the assigned tasks → Receive your compensation.

Project Time Commitment

During active project phases, tasks are expected to require approximately 10–20 hours per week, depending on specific project needs. This is an estimate and not a guaranteed workload.

Compensation

Contributors can earn up to $26 per hour, contingent on their level of expertise and contribution speed. Compensation may vary across projects based on their scope, complexity, and the expertise required. Additionally, other projects within the platform may offer different earning potentials based on their specific requirements.

About Mindrift

Mindrift is a pioneering platform dedicated to bridging the gap between skilled professionals and project-specific opportunities in artificial intelligence, focusing on enhancing and validating AI systems for leading tech companies.

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