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:
40 hours/week
Role Responsibilities
- Use 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.
Qualifications
Must-Have
- Master'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.
Preferred
- Publications 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 & Legal
- Competitive 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 2030 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 & 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.
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