Materials Engineering Analyst
ConfidentialIndia1 day ago
Job descriptionMaster'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. 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. 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. 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. 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]
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
Preferred
Compensation & Legal
Application Process (Takes 20–30 mins to complete)
Resources & Support
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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