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Freelance AI Trainer - Research Physicist with Python Skills

MindriftRemote — Rome, Metropolitan City of Rome Capital, Italy
Remote Part-time $29/hr - $29/hr

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Experience Level

Experience

Qualifications

A degree in Physics (Theoretical, Experimental, or Computational) or a related field. Proficiency in Python for numerical validation. A minimum of 2 years of professional experience in applied physics, research, or teaching.

About the job

Please submit your CV in English and indicate your level of English proficiency.

Mindrift specializes in connecting talented professionals with project-based opportunities in artificial intelligence for top-tier technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that these opportunities are project-based and do not constitute permanent employment.

Role Overview

Each project presents distinct challenges, and contributors may be tasked to:

  • Design innovative computational physics problems that replicate authentic physics research methodologies;
  • Develop problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, and Sympy);
  • Ensure that tasks are computationally demanding and cannot be resolved manually in a reasonable timeframe (days/weeks);
  • Create problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;
  • Base challenges on actual research dilemmas or applicable scenarios from the field of physics;
  • Validate solutions using Python with standard physics simulation libraries;
  • Clearly document problem statements and provide verified correct answers.

Candidate Profile

This role is ideal for physicists with Python experience seeking part-time, non-permanent projects. Preferred qualifications include:

  • 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, domain-specific libraries, Stata, or any programming language may also be considered;
  • A minimum of 2 years of professional experience in applied physics, research, or teaching;
  • Experience with numerical simulation techniques;
  • A creative approach to designing problems that reflect real-world physics research workflows;
  • Familiarity with physics modeling and approximation methodologies;
  • Strong written communication skills in English (C1 level or higher).

Application Process

Interested candidates should apply, pass necessary qualifications, join a project, complete assigned tasks, and receive compensation accordingly.

Project Commitment

For this project, contributors can expect to dedicate approximately 10 to 20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.

Compensation Details

Contributors can earn up to $29 per hour, contingent upon their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skill set. Please be aware that other projects on our platform may offer different compensation levels based on their unique requirements.

About Mindrift

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This role offers the chance to work on innovative projects in a flexible and dynamic environment.

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