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Materials Science Expert - AI Tutor

Materials Science Expert - AI Tutor

ConfidentialIndia
5 days ago
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 : AI Tutor – Materials Science Specialist

Type : Full-time

Compensation : $90,000–$200,000 / year

Location : Palo Alto, CA (in-office, 5 days per week) or Remote

Commitment : Typical hours : 9 : 00am–5 : 30pm PST during training, then adjusted to your local timezone

Role Responsibilities

  • Use proprietary tools to label, annotate, and evaluate materials science–related data.
  • Support the creation of high-quality datasets for advanced AI training.
  • Collaborate with technical teams to develop and 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.

Qualifications

Must-Have

  • Master's degree or PhD in materials science, physics, chemistry, chemical engineering, or a closely related field.
  • Deep expertise in areas such as semiconductors, energy materials, nanomaterials, alloys, ceramics, biomaterials, or polymers.
  • Strong command of written and spoken English in both professional and informal contexts.
  • Skilled in research, data analysis, and use of scientific databases and digital resources.
  • Excellent communication, critical thinking, and organizational skills.
  • Ability to work independently and apply sound judgment to complex, technical challenges.
  • Genuine interest in technological innovation and AI development.

    • Preferred

  • Publications or patents demonstrating expertise in materials science, preferably with first-author research papers in peer-reviewed journals.
  • 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 or materials analysis.

    • Compensation & Legal

  • Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location.
  • Access to medical benefits, subject to your country of residence.

    • Application Process (Takes 20–30 mins to complete)

  • Submit your resume.
  • 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.
  • The full process typically concludes within one week.

    • Resources & Support

  • For details about the interview process and platform information, please check : https : / / talent.docs.mercor.com / welcome / welcome
  • For any help or support, reach out to : [HIDDEN TEXT]

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

    Skills Required

    Ceramics, Alloys, materials science, biomaterials, nanomaterials, digital resources

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