AI Trainer (Physics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Trainer (Physics): Designing complex computational physics problems for AI model evaluation with an accent on Python-based numerical validation and non-trivial reasoning chains. Focus on creating challenging tasks in mechanics, electromagnetism, thermodynamics, and quantum mechanics that mirror real-world research workflows.
Location: Must be based in the United States
Compensation: Up to $76 per hour
Company
connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
What you will do
- Design original computational physics problems that simulate real research workflows.
- Create problems requiring Python programming (Numpy, SciPy, Sympy) for solution validation.
- Develop problems requiring non-trivial reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
- Ensure problems are computationally intensive and cannot be solved manually.
- Verify solutions using Python and standard physics simulation libraries.
- Document problem statements clearly and provide verified correct answers.
Requirements
- Degree in Physics (Theoretical, Experimental, or Computational) or related fields.
- 2+ years of professional experience in research, teaching, or applied physics.
- Proficiency in Python for numerical validation.
- Strong written English (C1+).
- Must be based in the United States.
Culture & Benefits
- Project-based, flexible part-time engagement.
- Opportunity to contribute to cutting-edge AI development.
- Competitive hourly compensation based on expertise and contribution.
- Work on diverse and intellectually stimulating physics research challenges.
Hiring process
- Submit CV in English.
- Pass qualification assessments.
- Join project and complete tasks.
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