Mercor Stem Expert Application Via Ripplematch

last updated April 12, 2026 12:34 UTC

Mercor

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This role is with Mercor. Mercor uses RippleMatch to find top talent. About the Role

Mercor is seeking a highly skilled Research and STEM Expert to join our AI evaluation and technical quality assurance team. In this role, you will analyze, evaluate, and fact-check AI-generated outputs across scientific, mathematical, and technical domains — ensuring the highest standards of factual accuracy, logical reasoning, and clarity.

You will help improve the reasoning and reliability of cutting-edge Large Language Models (LLMs) by providing structured feedback and expert judgment across diverse STEM fields. This position is ideal for individuals with strong academic training, analytical precision, and a passion for advancing AI alignment in research and science.

Key Responsibilities

  • Evaluate and critique AI-generated responses in STEM-related subjects (e.g., computer science, mathematics, physics, biology, and engineering).

  • *

Conduct fact-checking and research validation using reputable public and academic sources.

  • Assess scientific explanations, calculations, and reasoning for correctness and clarity.

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Provide structured written feedback to improve the model’s understanding and communication of technical topics.

  • Collaborate with the AI quality team to improve annotation guidelines and maintain consistency across evaluations.

Minimum Requirements

  • BS, MS, or PhD in a STEM domain (e.g., Computer Science, Mathematics, Biology, Physics, Engineering, etc.)

  • *

English expert with excellent comprehension and communication skills

  • Excellent at high school–level math

  • *

Experts at fact-checking information across multiple domains (medical, legal, financial, technical, etc.) using trusted public sources

  • Excellent writing skills and attention to detail

  • *

Significant experience using Large Language Models

$60,000 — $120,000/year

Apply info ->

To apply for this job, please visit the application page

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