Materials Science Tutor

Details

About the Role

As an AI Tutor - Materials Science Specialist at SpaceXAI, you will enhance 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 and contribute to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced materials science fields to drive improvements in model performance.

You will gather or provide data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks you must be comfortable with and eager to engage.

This position demands a dynamic approach to learning and adapting in a fast-paced environment, where interpreting and executing tasks based on evolving instructions is crucial.

This role is remote. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Support and contribute to the training of new tasks, working closely with technical staff to ensure 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 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.

Requirements

• 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 in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources.
• 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.

Preferred Skills and Experience

• 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.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions depending on role needs and candidate fit.
• For contractor positions, hours vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively (not a fixed commitment and depends on the scope of work). Contractors have flexibility to set their own hours.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, SpaceXAI is unable to hire in the states of Wyoming and Illinois at this time.
• Visa sponsorship is not provided.
• For those working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

• US based candidates: $45/hour - $75/hour depending on relevant experience, skills, education, geographic location, and qualifications.
• International candidates: Information will be provided during recruitment.

Benefits vary based on employment type, location, and jurisdiction. For eligible U.S. based positions: health insurance, 401(k) plan, and paid sick leave. Specific details will be provided during the interview process.