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DataAnnotation
Posted 169 days agoVerified live 1d ago

Graduate Physics Research Intern

Brief overview

United StatesIn-person
MastersOr in progress
3 green cardsCertified filings
Expert level understanding of physicsFluency in EnglishDetail-orientedClassical mechanicsE&MThermodynamicsBasic quantum concepts

About the company

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DataAnnotationdataannotation.tech

Welcome to DataAnnotation! We pay smart folks to train AI.

Visa sponsorship history

2 years sponsoring, last filed FY2024

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
3PERM certified
$116,000median wage / yr
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20243
Top sponsored roles
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Sponsored employees from
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Job description

Summary

DataAnnotation is seeking a Graduate Physics Research Intern to join their team focused on training AI models. The intern will measure the progress of AI chatbots, evaluate their logic, and solve problems to enhance the quality of each model.

Responsibilities

  • Give AI chatbots complex physics problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Skills

  • Expert level understanding of physics
  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Strong grasp of classical mechanics, E&M, thermodynamics, and basic quantum concepts
  • A current, in progress, or completed Masters and/or PhD

Qualifications

Must Haves

  • Expert level understanding of physics
  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Strong grasp of classical mechanics, E&M, thermodynamics, and basic quantum concepts

Nice to Haves

  • A current, in progress, or completed Masters and/or PhD

Benefits

  • You’ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Bonuses on high-quality and high-volume work

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