Materials Science Tutor

xAI is an artificial intelligence research organization focused on building systems that deeply understand the universe and advance human knowledge. As a Materials Science Tutor, you will support AI model training by contributing expert-level materials science knowledge through annotation, problem selection, and evaluation. This role directly impacts the quality and performance of advanced AI systems used in scientific research and discovery.

xAI is dedicated to developing advanced artificial intelligence systems that accelerate scientific understanding and innovation. As a Materials Science Tutor, you will contribute directly to training and improving AI models by applying deep expertise across materials science domains. This role blends scientific problem-solving, data annotation, and collaboration with technical teams to enhance AI-driven research outcomes.

Responsibilities:
- Use proprietary software tools to provide high-quality annotations, labels, and expert inputs
- Curate and validate complex materials science problems for AI training tasks
- Collaborate with technical staff to support the development of new AI tasks and workflows
- Assist in refining annotation tools and processes to improve efficiency and accuracy
- Evaluate AI-generated responses and provide detailed feedback based on domain expertise
- Interpret and execute evolving task instructions in a fast-paced research environment

Requirements:
- Master’s or PhD in materials science or a closely related scientific discipline
- Deep specialization in one or more materials subdomains such as semiconductors, polymers, ceramics, or nanomaterials
- Strong written and reading proficiency in professional English
- Excellent analytical, organizational, and communication skills
- Ability to work independently and apply judgment with limited guidance
- Strong interest in AI, scientific discovery, and emerging technologies

Benefits:
- Competitive hourly compensation based on experience and location
- Opportunity to work on cutting-edge AI research initiatives
- Fully remote work option with flexible long-term opportunities
- Exposure to interdisciplinary collaboration across science and AI research

This role offers a unique opportunity to apply advanced materials science knowledge to shape the future of AI-enabled scientific discovery.