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Freelance AI Trainer & Research Physicist with Python Expertise

toloka-aiRemote — Lyon, Auvergne-Rhône-Alpes, FranceNew
Remote Part-time $45/hr - $45/hr

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Experience Level

Experience

Qualifications

This opportunity is ideal for physicists with Python experience who are willing to take on part-time, non-permanent projects. The desired qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or relevant fields;Python proficiency for numerical validation, with alternative programming languages such as MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries being acceptable;At least 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation techniques;Ability to create problems that reflect realistic physics research workflows;Innovative problem design across various areas of physics;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+ level).

About the job

We kindly request that you submit your CV in English and specify your level of English proficiency.

At Mindrift, we connect talented specialists with exciting project-based opportunities in AI for top-tier tech companies, focusing on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.

Opportunity Overview

Each project presents distinct challenges; however, contributors may be involved in the following tasks:

  • Designing original computational physics problems that simulate authentic physics research workflows;
  • Creating problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);
  • Ensuring the problems are computationally demanding and cannot be manually solved within a reasonable timeframe (days to weeks);
  • Developing problems that require intricate reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
  • Grounding problems in real research challenges or practical applications from the field of physics;
  • Validating solutions using Python with established physics simulation libraries;
  • Thoroughly documenting problem statements and providing accurately verified solutions.

Ideal Candidate Profile

This opportunity suits physicists with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:

  • A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;
  • Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;
  • A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;
  • Familiarity with numerical simulation methods;
  • The ability to design problems that reflect real physics research workflows;
  • Creative problem design skills across various physics domains;
  • Understanding of physics modeling and approximation techniques;
  • Strong command of written English (C1+ level).

How the Process Works

Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.

Project Commitment

During active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and does not guarantee a specific workload during the project's lifecycle.

Compensation

Contributors can earn up to $45 per hour, contingent on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that other projects on our platform may offer different earning potential based on their specific requirements.

About toloka-ai

Mindrift connects experts with project-based AI opportunities in leading tech companies, emphasizing the evaluation and enhancement of AI systems. Our focus is on fostering innovation and practical application within the field.

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