Job Description
About The JobMercor 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: AI Tutor – Materials Science SpecialistType: Full-timeCompensation: $90,000–$200,000/yearLocation: Palo Alto, CA (in-office, 5 days per week) or RemoteCommitment: 40 hours/weekRole ResponsibilitiesUse proprietary tools to label, annotate, and evaluate materials science data.Support the creation of high-quality datasets for advanced AI training.Collaborate with technical teams to refine annotation systems and workflows.Analyze and solve problems across diverse materials science subfields to improve model reasoning and performance.Interpret evolving instructions and deliver accurate, consistent results under minimal supervision.QualificationsMust-HaveMaster’s degree or PhD in materials science, physics, chemistry, chemical engineering, or a related field.Deep expertise in areas such as semiconductors, energy materials, nanomaterials, alloys, ceramics, biomaterials, or polymers.Strong command of written and spoken English.Skilled in research, data analysis, and use of scientific databases.Excellent communication, critical thinking, and organizational skills.Ability to work independently and apply sound judgment to complex challenges.PreferredPublications or patents demonstrating expertise in materials science.Teaching or tutoring experience in scientific or technical subjects.Prior experience in AI data annotation or technical writing.Experience mentoring or guiding others in scientific research.Compensation & LegalCompetitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals.Access to medical benefits, subject to your country of residence.Application Process (Takes 20–30 mins to complete)Submit your resume for initial consideration.Complete a 20-minute introductory interview.Selected candidates will move on to a focused materials science data evaluation exercise.Finalists will participate in a team discussion and review of their expertise.Resources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.,
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