Materials Science Tutor

Fuel Breakthroughs in Materials Science

xAI is looking for a Materials Science Tutor who can help our teams sharpen their understanding of key materials concepts—so our AI systems can better support research, accelerate discovery, and improve real-world outcomes. If you love turning complex science into clear, actionable learning, this is your chance to make an impact at the intersection of education, AI, and materials research.

About The Role

As an AI Tutor – Materials Science Specialist at xAI, you’ll play a critical role in strengthening how we teach, validate, and apply materials science knowledge. You’ll work with teammates to guide AI models and improve performance in specialized materials domains—helping ensure that outputs are scientifically grounded, accurate, and useful for research workflows.

This role is ideal for someone who enjoys deep technical thinking, teaching with precision, and collaborating with engineers and researchers to translate domain expertise into learning outcomes.

What You’ll Do

• Teach and tutor materials science concepts in a way that supports both learning and practical application.
• Guide AI models with materials science expertise—helping improve responses related to specialized scientific questions.
• Develop tutoring content such as explanations, example problems, study guides, and structured learning paths.
• Validate and refine scientific reasoning to improve correctness, clarity, and relevance for research use cases.
• Collaborate with technical teams to understand how materials knowledge is being used and where improvements are needed.
• Support research-oriented learning by helping connect foundational concepts to advanced materials challenges.
• Identify gaps in explanations or model outputs and propose targeted improvements to tutoring materials and guidance.

What We’re Looking For

• Strong background in materials science (e.g., structure–property relationships, phases/material behavior, thermodynamics/kinetics, microstructure, materials characterization, or similar fundamentals).
• Proven ability to explain complex technical topics clearly, adapt explanations to different levels, and build learning confidence.
• Experience with tutoring, mentoring, teaching, or technical instruction—whether formally or through research collaboration.
• Comfort working with AI/ML-adjacent workflows (e.g., knowledge validation, prompt/tutor improvement, evaluation, or feedback loops).
• Strong attention to detail and a commitment to scientific accuracy.
• Excellent communication skills and the ability to partner effectively with engineers and researchers.
• A curious, improvement-minded approach—always looking for ways to make learning and outputs more reliable.

Why This Role at xAI

• High-impact work that improves how AI supports scientific discovery.
• The chance to turn domain expertise into measurable learning outcomes.
• Collaborate with a team focused on innovation, iteration, and real scientific value.
• Work at the intersection of education, materials science, and AI systems.

Benefits

• Competitive compensation aligned with experience.
• Opportunities to contribute to cutting-edge AI and scientific workflows.
• A collaborative environment where expertise is respected and improvements are encouraged.
• Professional growth through ongoing feedback, evaluation, and iteration.

Ready to Teach AI to Think Like a Materials Scientist?

If you’re passionate about materials science and love helping others learn it—especially in ways that strengthen scientific AI outputs—we’d love to hear from you.

Apply now to join xAI as an AI Tutor – Materials Science Specialist.

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