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Physics Expert

Typical $40–100/hr Worldwide Remote · worldwide research Contract / freelance
Pay rate · Typical $40–100/hr
Typical hourly range for this type of role — the exact rate is confirmed by the hiring company.
  • Job Description
  • Physics Expert
  • Contract
  • Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

  • Evaluate, curate, and annotate complex physics content to improve AI training datasets.
  • Create precise prompts, responses, and correction guidelines for various physics topics.
  • Assess and provide feedback on AI outputs for technical depth, accuracy, and clarity.
  • Collaborate with data scientists, engineers, and other subject matter experts to refine AI model performance.
  • Continuously update training materials to reflect advances in physics and AI best practices.
  • Contribute to quality assurance by identifying and correcting model errors in understanding physics concepts.
  • Document findings and effectively communicate project status and insights to the customer’s team.

Required Skills and Qualifications

  • Advanced degree in Physics or a closely related field.
  • Proven expertise in a broad range of physics topics (e.g., classical mechanics, electromagnetism, quantum physics).
  • Exceptional written and verbal communication skills, with a keen attention to detail.
  • Demonstrated experience in technical content creation, reviewing, or education.
  • Ability to distill complex scientific concepts into clear, accessible language.
  • Experience collaborating in multidisciplinary, remote teams.
  • Strong analytical and problem-solving skills relevant to AI/data science projects.

Preferred Qualifications

  • Previous experience working with or training AI/ML models, especially in educational technology domains.
  • Familiarity with AI prompt engineering or annotation tools.
  • Published research or public-facing science communication work.
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