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Materials Scientist - AI Trainer

Job

Mercor

Remote

Full-Time

Posted 3 days ago (Updated 16 hours ago) • Actively hiring

Expires 7/15/2026

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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 Expert Type:
Contract Compensation:
$1,150-$1,450/task
Location:
Remote Role Responsibilities Build a realistic digital workspace centered on the Drive folders you use daily. Include experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and email threads. Represent platforms like VASP , Materials Studio (Biovia) , LabVantage LIMS , and ANSYS Fluent . Design multi-step tasks grounded in your real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents. Collaborate with other materials-science experts to design the environment, shape task scope, and review scenarios for realism and rigor. Work asynchronously with research teams to refine task designs and evaluation criteria for materials-science agent benchmarks. Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems. Qualifications Must-Have MS / PhD in materials science, chemistry, physics, or related discipline. 3+ years of full-time experience at a Fortune 500 R D organization, national lab, or R1 university materials research group . Background in metals, polymers, ceramics, composites, or semiconductor materials. Experience with characterization techniques like
XRD , SEM/TEM
, spectroscopy, and thermal analysis. Computational materials science expertise in DFT or MD . Process development and scale-up experience. Reliability and failure analysis in advanced materials. Day-to-day use of VASP , Materials Studio (Biovia) , LabVantage / LabWare LIMS , and ANSYS Fluent / STAR-CCM+ . Strong analytical thinking and writing skills to translate materials-science workflows into structured task specs.
Compensation & Legal Task Completion Pay:
Competitive and based on task quality (~ $1,150-$1,450 per completed task, subject to change as the project evolves).
Performance Bonus:
Top performers receive a weekly bonus incentive on top of their per task rate.
Hourly Opportunity:
Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput. 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. #hiringmercor