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AI Research Evaluator - Remote

Posted Yesterday
All others
Part Time
Worldwide
$20 - $30/hour

Overview

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in mathematics, computer science, and related fields to join a high-impact AI research initiative in partnership with a leading AI lab.

In Short

  • Part-time role with 30-40 hours per week.
  • 100% remote and asynchronous work environment.
  • Evaluate submitted data including prompts, solutions, and references.
  • Use structured rubrics to assess task quality.
  • Provide written feedback on evaluations.
  • Work independently following provided tools and workflows.
  • Requires a PhD or Master’s in relevant fields.
  • Strong analytical and communication skills needed.
  • Basic knowledge of Python preferred.
  • Competitive hourly rates based on expertise.

Requirements

  • PhD (or current PhD candidacy) or Masters in Mathematics, Computer Science, or related STEM field.
  • Expertise in mathematics, including algebra, geometry, and probability.
  • Strong analytical skills for evaluating multi-step reasoning.
  • Excellent written communication skills.
  • Ability to work independently in a remote setup.
  • Basic knowledge of Python and testing frameworks is a plus.

Benefits

  • Flexible scheduling for part-time work.
  • Competitive pay rates based on expertise.
  • Weekly payments processed securely.
  • Opportunity to work on high-impact AI research.
  • Work from anywhere with a fully remote setup.
Mercor logo

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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