AI Tutor - Materials Science
About The Position
SpaceXSI is building Super Intelligence to help humanity understand the universe, developing a full stack that includes Colossus supercomputers, Grok models, and applications such as Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. As an AI Tutor focused on materials science, you will provide high-quality data annotations, labels, and inputs to enhance Grok. You will use materials science expertise to evaluate model outputs, identify errors in structure-property reasoning or processing assumptions, and produce clear, rigorous analyses and explanations. Your work will help train Grok to distinguish flawed or insufficiently justified analyses from scientifically accurate, well-grounded, and practically useful ones. This is a remote role that may be performed from the United States, United Kingdom, Canada, Australia, or India. The role may be full-time or part-time depending on business needs and candidate availability; full-time positions are preferred and require standard business hours in the local time zone. Positions are typically offered as fixed-term employment contracts of six months, with possible extensions or conversion to a permanent role based on business needs. Travel to a SpaceXSI site may be required. Visa sponsorship is unavailable. US-based candidates cannot be hired in Wyoming or Illinois at this time.
Requirements
- Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.
- English proficiency at CEFR C1 level or higher.
Nice To Haves
- Specialized expertise in one or more materials science subfields, such as energy materials, semiconductors, nanomaterials, metals and alloys, biomaterials, polymers, elastomers, ceramics, glasses, or other interdisciplinary materials-related fields.
- Advanced materials science expertise demonstrated through multiple publications in reputable peer-reviewed journals or relevant patents, preferably including one or more first-author publications.
- Strong research skills and ability to navigate scientific literature, specialized databases, and online information resources.
- Excellent communication, interpersonal, analytical, and organizational skills.
- Strong reading comprehension and critical-thinking skills, including sound independent judgment when working with limited information.
- Strong interest in technological advancement, scientific progress, and innovation.
- Previous experience in AI tutoring, AI model evaluation, or related AI applications.
- Teaching or tutoring experience in academic or professional settings.
- Experience in technical writing, science journalism, scientific communication, or other professional writing roles.
Responsibilities
- Use proprietary software applications to annotate and label data for designated projects.
- Support delivery of high-quality, accurate, well-curated datasets that meet project standards.
- Collaborate with technical teams to develop and train new tasks and help implement technologies and initiatives.
- Work with technical staff to improve annotation tools and workflows, including their design, functionality, and efficiency.
- Guide AI models in solving complex scientific problems to advance materials science research and support scientific discovery and practical applications.
- Select and solve problems across materials science subfields aligned with your expertise, providing detailed solutions and critically evaluating AI-generated responses.
- Interpret, analyze, and execute tasks accurately in accordance with established guidelines and project requirements.
Benefits
- Eligible US-based positions include health insurance, a 401(k) plan, and paid sick leave. Benefits vary based on employment type, location, and jurisdiction.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
