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Part-Time Researcher in Chemistry for AI Model Evaluation - Remote

Posted Yesterday
Software Development
Part Time
USA
$50 - $60/hour

Overview

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. This position focuses on evaluating and improving large language models (LLMs) by leveraging deep subject-matter expertise in chemistry to rigorously assess model accuracy, reasoning, and scientific depth across advanced chemical disciplines.

In Short

  • Evaluate scientific accuracy of LLM-generated content in chemistry.
  • Review outputs on molecular structure, kinetics, and thermodynamics.
  • Identify factual inaccuracies and reasoning gaps.
  • Provide structured feedback and benchmarking.
  • Work independently as part of a distributed research team.
  • Part-time position (approximately 30 hours/week).
  • Remote and asynchronous work environment.
  • Flexible schedule.
  • Compensation based on expertise and experience.
  • Weekly payments via Stripe Connect.

Requirements

  • PhD (or PhD candidate) in Chemistry or related field.
  • Strong command of graduate-level chemistry concepts.
  • Excellent written communication and analytical skills.
  • Ability to work independently in a remote environment.
  • Proficiency in Python preferred for data analysis.

Benefits

  • Flexible working hours.
  • Opportunity to work with leading AI researchers.
  • Gain experience in evaluating AI models.
  • Collaborate with a distributed team.
  • Competitive hourly rate.
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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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