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Materials Scientist

Mercor

Role overview

Qualifications

  • PhD in materials science, materials engineering, or related fields
  • 4+ years of research or industrial RD experience in materials
  • Specialization in areas like energy storage, semiconductors, or computational materials
  • Progression to a senior level, such as Senior Scientist or Principal Investigator

Responsibilities

  • Evaluate the quality of materials science knowledge work tasks and model outputs
  • Write high-quality instruction specs and produce golden solutions to materials problems
  • Design challenging materials science tasks and evaluation sets
  • Collaborate with client researchers to maintain consistent standards

Key facts

Hard skills

Thermal Energy Storage Materials Engineering Semiconductor Materials Large Language Modeling Individualized Instruction

Other skills

  • Research
  • Communication
  • Collaboration
  • Problem Solving

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

Links

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Materials Science Domain Expert
Type: Contract
Compensation: $70–$110/hour
Location: Hybrid, Bay Area, California
Commitment: 40 hours/week

Role Responsibilities

  • Evaluate the quality of materials science knowledge work tasks and model outputs. Identify missing behaviors and unsupported claims.
  • Write high-quality instruction specs and produce golden solutions to materials problems. Define new tasks that reflect real-world practices.
  • Design challenging materials science tasks and evaluation sets. Build materials-specific skills and tools with the research team.
  • Collaborate with client researchers to maintain consistent standards. Translate tacit materials judgment into explicit criteria.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in materials science, materials engineering, or related fields.
  • 4+ years of research or industrial R&D experience in materials.
  • Specialization in areas like energy storage, semiconductors, or computational materials.
  • Progression to a senior level, such as Senior Scientist or Principal Investigator.
  • Peer-reviewed publications, patents, or shipped materials programs.
  • Experience with large language models in professional work.
  • Living in the Bay Area, California, and able to work on-site as required.
  • Excellent written communication skills.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



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