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Physics PhD / Master's Student for AI Project - Remote

Posted Yesterday
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Contract
USA, Canada

Overview

Mercor is seeking Physics PhD / Master’s students for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by curating difficult problems in your domain.

In Short

  • Mercor is looking for Physics PhD / Master's students.
  • Work with a top AI lab on a cutting-edge project.
  • Contribute to creating high-quality data for AI innovation.
  • Project begins in September with rolling application review.
  • Expect to contribute 15-20 hours of work per week.
  • Potential to extend work to 40+ hours per week.
  • Fully remote and asynchronous work environment.
  • Project duration is a minimum of 1-2 months.
  • Legally classified as an hourly contractor.
  • Paid weekly via Stripe Connect.

Requirements

  • Pursuing/holding a Physics-related PhD/Master’s from a leading US or Canadian university.
  • OR have worked full-time in a Physics-related domain in US or Canada for >1 year.
  • High attention to detail.
  • Exceptional written and verbal communication skills.
  • Excellent proficiency in English.

Benefits

  • Work with leading experts in AI.
  • Flexible remote working hours.
  • Gain experience in a cutting-edge field.
  • Opportunity to contribute to impactful projects.
  • Weekly payments for work done.
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Mercor

HelixRecruit is a forward-thinking recruitment firm specializing in connecting talent with innovative companies. They focus on providing opportunities for individuals to engage in data annotation projects that enhance artificial intelligence systems. With a commitment to flexibility, HelixRecruit offers remote and asynchronous work arrangements, allowing contractors to set their own schedules while contributing to meaningful projects. The company values detail-oriented generalists and encourages applicants from diverse educational backgrounds, including students and early career professionals.

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