Materials Science Specialist Remote

2 weeks ago

Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Surrey Victoria London Halton Hills Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario R, Canada Mercor Full time

Materials Science Specialist Remote 2 days ago Be among the first 25 applicants This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $90,000.00/yr - $200,000.00/yr 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 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: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #J-18808-Ljbffr

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