Materials Science Tutor

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands‑on and to contribute directly to the company’s mission.

Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

As an AI Tutor - Materials Science Specialist at xAI, you will be instrumental in enhancing our cutting‑edge AI technologies by providing high‑quality input and labels using specialized software. You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced materials science fields to drive significant improvements in model performance.

This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which you must be comfortable and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast‑paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.

The AI Tutor - Materials Science Specialist role is a remote position. We prefer candidates available for full‑time employment, but exceptional applicants seeking part‑time opportunities will also be considered (please see the bottom of this job description for more details).

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high‑quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting‑edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Solve problems that help drive innovation in materials by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.
• Choose problems from various fields across materials science that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

• Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.
• Expertise and specialization in a materials‑related subdomain, including but not limited to energy materials, semiconductors, nanomaterials, metals, alloys, biomaterials, polymers, elastomers, ceramics, or glasses.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources is essential.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation.

• Advanced expertise in materials science, demonstrated by multiple publications, or patents, preferably with one or more first‑author papers, in reputable peer‑reviewed journals
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Experience in technical writing, journalism, or a professional writing setting.

• This position is based in Palo Alto, CA, or fully remote.
• The Palo Alto option is an in‑office role…