Materials Engineer - AI Trainer at Mercor

Job Description:

Latest job information from Mercor for the position of Materials Engineer - AI Trainer. If the Materials Engineer - AI Trainer vacancy in New York matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Mercor for the position of Materials Engineer - AI Trainer below matches your qualifications.

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:$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.

Compensation & Legal

• 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.

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:
• For any help or support, reach out to:

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

Job Info:

• Company: Mercor
• Position: Materials Engineer - AI Trainer
• Work Location: New York
• Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Materials Engineer - AI Trainer at the office New York above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.