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Freelance AI Trainer - Research Physicist with Python Expertise

MindriftRemote — UruguayNew
Remote Part-time $17/hr - $17/hr

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Experience Level

Experience

Qualifications

Candidates should possess a degree in Physics (Theoretical, Experimental, or Computational), along with proficiency in Python and relevant numerical validation techniques. At least 2 years of relevant professional experience is required, demonstrating problem design and simulation methods in the context of physics research.

About the job

We invite you to submit your CV in English, highlighting your level of English proficiency.

Mindrift specializes in connecting skilled professionals with project-based AI opportunities for prominent technology companies, with a focus on testing, evaluating, and enhancing AI systems. This is a project-based role rather than permanent employment.

What You Will Be Doing:

While each project involves distinct tasks, contributors may be expected to:

  • Design original computational physics problems that reflect authentic physics research workflows;
  • Develop problems that necessitate Python programming for resolution (using libraries such as Numpy, SciPy, and Sympy);
  • Ensure problems are computationally intensive and cannot be manually solved within a reasonable timeframe (days/weeks);
  • Create problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
  • Base problems on actual research challenges or practical applications from the field of physics;
  • Validate solutions utilizing Python with standard physics simulation libraries;
  • Clearly document problem statements and provide verified correct solutions.

What We Are Looking For:

This position is ideal for physicists with Python experience who are open to part-time, project-based work. Candidates should possess:

  • 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 programming language can be considered equivalent;
  • At least 2 years of professional experience in applied, research, or teaching roles;
  • Experience with numerical simulation methods;
  • The ability to design problems that accurately reflect real physics research workflows;
  • Creative problem-solving skills across diverse areas of physics;
  • Knowledge of physics modeling and approximation techniques;
  • Strong written English skills (C1+ level).

How the Process Works:

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

Time Commitment:

For this project, tasks are expected to require approximately 10–20 hours per week during active periods, depending on project needs. This is an estimation and does not guarantee a fixed workload during the project's active phase.

Compensation:

Contributors can earn up to $17 per hour, depending on their skill level and contribution pace. Compensation may vary across projects based on their complexity, scope, and required expertise. Other projects on our platform may offer different earning potential based on their specific requirements.

About Mindrift

Mindrift connects talented professionals with innovative project-based opportunities in AI, enabling them to contribute to the advancement of cutting-edge technologies while collaborating with leading tech companies.

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