Materials Engineer
Mercor San Francisco
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 ExpertType: Contract
Compensation: $55–$75/hour
Location: Remote
Role Responsibilities- Build a realistic digital workspace centered on the Drive folders you use day-to-day. 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 navigating multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully.
- 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 in characterization (XRD, SEM/TEM, spectroscopy, thermal analysis).
- Computational materials science / DFT / MD.
- Process development and scale-up.
- Reliability / 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. Able to translate materials-science workflows into structured task specs.
- This project starts with an effective hourly rate. It will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate.
- Upload resume
- AI interview based on your resume
- Submit form
- 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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