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Physics AI Training Specialist (Remote in Argentina)

anyone-aiArgentina - Fully Remote
Remote Contract $0/hr - $40/hr

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Experience Level

Experience

Qualifications

Bachelor's, Master's, or PhD in Physics or a closely related field; Extensive research or industry experience in theoretical, experimental, or computational physics; Proficiency in Python, with familiarity in scientific libraries such as NumPy, SciPy, or equivalents; Solid grasp of modeling, simulation, numerical methods, and multi-step problem-solving; Capability to design original, complex problems that mirror real-world physics workflows; Exceptional attention to detail and strong technical writing abilities in English.

About the job

This part-time contract role is open to candidates based in Argentina and offers a fully remote setup. The position requires a weekly commitment of 20 to 40 hours, with compensation up to $40 per hour. The initial project duration is 2 months, with the possibility of extension. Immediate availability is needed.

Role overview

anyone-ai develops high-quality STEM training data to support the advancement of AI models. In this role, the Physics AI Training Specialist will design advanced, deterministic physics problems that challenge and evaluate state-of-the-art AI systems. Each problem must have a single, verifiable answer and include a detailed, validated solution.

What you will do

  • Create complex physics problems for AI training and assessment
  • Ensure each problem is deterministic and has one definitive solution
  • Write comprehensive solutions, documenting reasoning and steps clearly
  • Focus on problems that require deep physical reasoning and multi-step analysis
  • Use Python or specialized software to build simulations, models, or computational workflows as needed
  • Maintain technical accuracy, reproducibility, and clear articulation in English for all outputs

Requirements

  • Bachelor's, Master's, or PhD in Physics or a closely related field
  • Significant research or industry experience in theoretical, experimental, or computational physics
  • Proficient in Python and familiar with scientific libraries such as NumPy or SciPy
  • Strong understanding of modeling, simulation, numerical methods, and multi-step problem-solving
  • Ability to design original, complex problems that reflect real-world physics workflows
  • Excellent attention to detail and strong technical writing skills in English

Preferred qualifications

  • Background in educational content development or AI training data
  • Familiarity with machine learning concepts and practices

About anyone-ai

anyone-ai is at the forefront of creating high-quality STEM training data for advanced AI models. Our work directly contributes to the improvement of AI reasoning capabilities in technical fields, making a significant impact in the AI community.

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