MercorVerified Source
RemoteAI & Machine LearningData Science

STEM PhDs | $70-$75/hr Remote

$70–$75/hr
Posted July 10, 2026
hourly
79 openings

Overview

This is a remote opportunity for PhD-level experts in STEM fields to contribute their deep domain knowledge to a leading AI research lab. Your work will directly involve designing challenging, domain-specific problems that help train and refine the next generation of large language models, shaping how AI understands complex scientific and quantitative concepts.

What You'll Do4

  • 1Leverage your specialized STEM expertise to generate novel, high-difficulty questions and problems within your field.
  • 2Create carefully curated datasets that will be used to train and evaluate frontier AI models on complex reasoning tasks.
  • 3Collaborate with a world-class AI team to ensure the data you produce meets rigorous quality and accuracy standards.
  • 4Apply your deep understanding of subjects like mathematics, physics, or biology to push the boundaries of what AI can learn and solve.

Requirements3

  • 1Hold a PhD in a STEM discipline (e.g., Mathematics, Biology, Chemistry, Physics, Computer Science, Statistics, or Economics) from a university in the US, UK, Canada, or Europe.
  • 2Demonstrate exceptional attention to detail when constructing precise, logically sound problems and their solutions.
  • 3Possess outstanding written and verbal communication skills, with native or near-native English proficiency to clearly articulate complex ideas.

Who Should Apply

This role is ideal for a STEM PhD who thrives on intellectual challenge and wants to apply their academic expertise in a practical, high-impact setting. You should be someone who enjoys formulating intricate problems, has a meticulous eye for accuracy, and is excited to contribute directly to the advancement of artificial intelligence.

Salary Insight

The role offers an hourly rate of $70.00 – $75.00, making it a well-compensated opportunity for highly specialized experts.

Application Tip

When you apply, be ready to discuss a specific complex problem from your PhD research or a related domain. Demonstrating how you would break that problem down into a series of logical steps will show the team exactly the kind of thinking they’re looking for.

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