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Mathematics Contractor for AI Project - Remote

Posted Yesterday
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Contract
USA, Canada

Overview

Mercor is seeking Mathematics Undergraduates/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.

In Short

  • Contribute to a project involving AI and large language models.
  • Help curate high-quality data for AI innovation.
  • Work remotely and asynchronously.
  • Expected to contribute 15-20 hours per week, with potential for more.
  • Project duration is a minimum of 1-2 months.
  • Applicants must be from the US or Canada.
  • Complete an AI interview and written form for screening.
  • Compensation is hourly, paid weekly via Stripe Connect.
  • Requires high attention to detail and strong communication skills.
  • Ideal for current students or professionals in mathematics-related fields.

Requirements

  • Pursuing or holding a mathematics-related degree from a leading US or Canadian university.
  • Or have worked full-time in a mathematics-related domain in the US or Canada for over a year.
  • High attention to detail.
  • Exceptional written and verbal communication skills.
  • Excellent proficiency in English.

Benefits

  • Flexible work hours.
  • Opportunity to work on cutting-edge AI projects.
  • Gain experience in a leading AI lab environment.
  • Networking opportunities with industry experts.
  • Work remotely from anywhere in the US or Canada.
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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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