Materials Science Tutor

x.ai; United States; Remoto; USD 62.000 - 103.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401(k)

Descrizione del lavoro

Grok seeks a data annotation specialist with advanced materials science expertise to annotate and label data for specialized projects. You will evaluate model outputs, identify errors in structure-property reasoning, and provide rigorous analyses to improve model reliability.

Qualified candidates hold at least a Master’s or PhD in a related field, with CEFR C1 English and strong communication skills. This is a remote role supporting global teams and scientific advancement.

Competenze

• Master's or PhD in materials science, physics, chemistry, chemical engineering, or related field.
• English proficiency at CEFR C1 level or higher.
• Experience in AI tutoring, model evaluation, or related scientific writing roles.

Mansioni

• Annotate and label data for designated projects using proprietary software.
• Help deliver high-quality, accurate datasets meeting project standards.
• Collaborate with technical teams to train new tasks and innovations.
• Improve annotation tools and workflows with technical staff.
• Guide AI models in solving materials science problems and support discovery.

Conoscenze

CEFR C1 English

AI tutoring experience

Teaching/writing experience

Strong communication skills

Analytical thinking

Formazione

Master's or PhD in materials science or related field

Strumenti

Proprietary annotation software

Descrizione del lavoro

About the Role

In this role, you will help enhance Grok by providing high-quality data annotations, labels, and inputs focused on materials science. You will draw on your expertise in areas such as energy materials, semiconductors, nanomaterials, metals and alloys, biomaterials, polymers, ceramics, and glasses 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 inadequately justified materials science analyses from those that are scientifically accurate, well-grounded, and practically insightful.

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.

Basic Qualifications

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 Skills and Experience

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. Experience in technical writing, science journalism, scientific communication, or other professional writing roles.

Location and Other Expectations

This is a remote role which may be performed from the following countries: United States United Kingdom Canada Australia India. This role may be offered as a full-time or part-time position, depending on role / business needs and candidate availability. Full-time positions are preferred and require working standard business hours in your local time zone. Positions are typically offered as fixed-term employment contracts of 6 months. Extensions or conversion to a permanent role may be available based on business needs. For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Travel to a SpaceXSI site may be required.

Compensation and Benefits

US-based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible US-based positions include health insurance, 401(k)