Expert in Materials Science (AI Training Specialist)
Mercor · San Francisco
Job description
About the Role
Join a high-impact mission at the intersection of Materials Science and Artificial Intelligence. Mercor connects elite technical talent with leading AI research labs to push the boundaries of scientific modeling through high-level expertise and data refinement.
Main Responsibilities
- Design and develop original technical problems based on phase diagrams, microstructures, and stress-strain curves to evaluate AI model performance.
- Draft and review complex technical tasks to ensure high-quality training data for scientific AI.
- Create detailed reference solutions and implement structured quality control processes.
- Annotate datasets with deep scientific insights to optimize and improve AI model outputs.
- Work autonomously in an asynchronous environment with a flexible schedule.
Profile Required
- PhD in Materials Science, Metallurgy, or a related field; OR a Master's degree with 3+ years of experience; OR a Bachelor's degree with 5+ years of experience.
- Proven ability to interpret complex scientific data including micrographs, diffraction patterns, and property graphs.
- Strong analytical skills and the ability to communicate technical concepts clearly.
- A track record of research publications or industrial R&D experience is highly preferred.
Required Skills
- Advanced expertise in Phase Equilibria, Mechanical Behavior, or Crystallography.
- Proficiency in Polymer Science or Material Characterization (XRD, SEM, TEM).
- Technical writing and scientific problem-solving.
- Data annotation and quality assurance for technical datasets.
What We Offer
- Highly competitive compensation: $85–$93 per hour.
- Flexible, remote-first working environment.
- Part-time engagement (20 hours per week) ideal for researchers or consultants.
- Opportunity to work with world-class AI research labs backed by top-tier investors.
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Mercor
San Francisco
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