AI Tutor - Materials Science

Remote USfull timeRemote

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$94k

H1B: no

xAI The AI Tutor - Materials Science role at xAI involves enhancing Grok by providing high-quality data annotations and labels focused on materials science. The role requires evaluating model outputs and producing clear analyses to train AI models in materials science accuracy.

Responsibilities

Use proprietary software applications to annotate and label data for designated projects.
Support the delivery of high-quality, accurate, and well-curated datasets that meet project standards.
Collaborate with technical teams to develop and train new tasks, contributing to the successful implementation of innovative technologies and initiatives.
Work closely with technical staff to improve the design, functionality, and efficiency of annotation tools and workflows.
Advance materials science research by guiding AI models in solving complex scientific problems and supporting scientific discovery and practical applications.
Select and solve problems across various subfields of materials science 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.

Qualification

Master’s or PhD in materials scienceExcellent communicationPrevious experience in AI tutoring

Required

Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.
English proficiency at CEFR C1 level or higher.

Preferred

Specialized expertise in one or more subfields of materials science, including but not limited to energy materials, semiconductors, nanomaterials, metals and alloys, biomaterials, polymers, elastomers, ceramics, glasses, or other interdisciplinary materials-related fields.
Advanced expertise in materials science demonstrated through multiple publications in reputable, peer-reviewed journals or relevant patents, preferably including one or more first-author publications.
Strong research skills and the 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, with the ability to exercise sound independent judgment when working with limited information.
A strong interest in technological advancement, scientific progress, and innovation.
Previous experience in AI tutoring, AI model evaluation, or related applications of artificial intelligence.
Teaching or tutoring experience in academic or professional settings.