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Part-Time AI Research Evaluator in Physics - Remote

Posted Yesterday
Software Development
Contract
USA
$50 - $60/hour

Overview

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. This position focuses on evaluating and advancing large language models (LLMs) by applying deep expertise in theoretical and applied physics to assess model reasoning, accuracy, and depth across advanced physical science domains.

In Short

  • Evaluate scientific correctness and conceptual rigor of LLM-generated responses.
  • Review outputs involving mathematical modeling and theoretical frameworks.
  • Identify factual errors and reasoning flaws in model outputs.
  • Benchmark model performance on advanced physics problems.
  • Work independently and asynchronously using proprietary tools.
  • Part-time position (30 hours/week).
  • Remote and asynchronous work environment.
  • Flexible schedule to accommodate global contributors.
  • Contractor position via Mercor.
  • $50–$60/hour compensation based on expertise.

Requirements

  • PhD (or PhD candidate) in Physics or related field.
  • Strong command of graduate-level physics and mathematical reasoning.
  • Excellent written communication and analytical abilities.
  • Ability to work independently in a remote setting.
  • Proficiency in Python for scientific analysis preferred.

Benefits

  • Flexible work schedule.
  • Weekly payments through Stripe Connect.
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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