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Materials Science PhD - AI Evaluator at Mercor | United States (Remote)

Company/Recruiter: Mercor

Published on: 11:02 AM | Aug 29, 2026 12 views
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✦ AI Summary

Mercor is a dynamic platform dedicated to bridging the gap between exceptional creative and technical talent and pioneering AI research labs.

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MorrJobs editorial notes

Our reading of this this opportunity Materials Science Phd Ai Evaluator opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by Mercor. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.

What to demonstrate

Connect your CV or portfolio to PhD in Materials Science or a closely related field.; Proven expertise in materials characterization, properties, and synthesis.. Use one concrete example that shows you can Analyze and evaluate AI-generated data, predictions, and recommendations related to materials properties and behavior..

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Mercor is a dynamic platform dedicated to bridging the gap between exceptional creative and technical talent and pioneering AI research labs. We are seeking a highly motivated and intellectually curious Materials Science PhD to join our team as an AI Evaluator. In this role, you will leverage your deep understanding of materials science principles and your analytical acumen to assess and validate the outputs of cutting-edge AI models. This is a unique opportunity to contribute to the advancement of AI in scientific research and to work at the forefront of technological innovation.

Job Overview

The Materials Science PhD - AI Evaluator will be instrumental in ensuring the accuracy and scientific rigor of AI-generated insights within the materials science domain. You will collaborate with AI researchers and domain experts to provide critical feedback and drive the continuous improvement of AI algorithms.

Key Responsibilities

  • Analyze and evaluate AI-generated data, predictions, and recommendations related to materials properties and behavior.
  • Apply a strong foundation in materials science to validate AI model outputs against established scientific principles and experimental data.
  • Identify discrepancies, biases, and limitations in AI model performance.
  • Provide detailed, constructive feedback to AI development teams to enhance model accuracy and reliability.
  • Contribute to the development of evaluation methodologies and benchmarks for AI in materials science.

Requirements

  • PhD in Materials Science or a closely related field.
  • Proven expertise in materials characterization, properties, and synthesis.
  • Strong analytical and critical thinking skills.
  • Familiarity with AI/ML concepts and their application in scientific research is a plus.
  • Excellent written and verbal communication skills.

What We Offer

  • The opportunity to work with leading AI research labs and contribute to groundbreaking discoveries.
  • A collaborative and intellectually stimulating work environment.
  • Exposure to diverse AI applications within the materials science field.
  • Flexible remote work arrangements.

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