Job Overview
Location
Remote
Job Type
Full-time
Category
Product Management
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As an AI Tutor - Chemical Engineering specialist at xAI Corporation, you will play a critical role in advancing the company’s mission to create AI systems that understand the universe and support human knowledge pursuit by providing expert-level input and labeling for AI training datasets using proprietary software.
- • Your work will directly contribute to refining AI model performance through high-quality data curation, annotation tool improvement, and collaboration with technical teams on innovative initiatives in a fast-paced, flat-organization environment that values initiative and excellence.
- • You will use proprietary software applications to provide precise input and labels on defined chemical engineering-related projects, ensuring the delivery of high-quality curated data essential for training new AI tasks.
- • You will support and contribute to the training of new AI tasks by working closely with technical staff to ensure successful development and implementation of cutting-edge initiatives, including interpreting, analyzing, and executing tasks based on evolving instructions.
- • You will interact with technical teams to help improve the design of efficient annotation tools, leveraging your chemical engineering expertise to identify complex problems where your input can drive significant improvements in model performance.
- • You will regularly analyze and execute tasks based on given instructions, requiring strong autonomous judgment, analytical thinking, and the ability to navigate complex information resources and databases with limited data.
- • You will demonstrate outstanding communication, interpersonal, and organizational capabilities, sharing knowledge concisely and accurately with teammates in a hands-on, mission-driven culture where leadership emerges from initiative and consistent excellence.
- • You will have the opportunity to deepen your expertise in AI data training processes while contributing to meaningful technological advancements at the intersection of chemical engineering and artificial intelligence.
- • You will grow your ability to adapt quickly in a dynamic environment, refine technical writing and annotation skills, and gain experience in shaping AI systems through expert human feedback—all while working remotely with a highly motivated, curiosity-driven team.
🎯 Requirements
- • Must possess a Master's or PhD in Chemical Engineering, or a highly-related field.
- • Proficiency in reading and writing, both 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 or material.
- • Strong passion for and commitment to technological advancements and innovation.
🏖️ Benefits
- • 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 provided during interview process).
- • Remote work flexibility from any location worldwide, subject to legal eligibility and time-zone compatibility.
- • Flexible scheduling for contractor roles, with no fixed commitments and the ability to set your own hours based on project scope.
Skills & Technologies
Remote
Degree Required
About xAI Corporation
xAI Corporation, founded by Elon Musk in 2023 and headquartered in San Francisco, California, is an artificial-intelligence company focused on building advanced AI systems that accelerate human knowledge and scientific discovery. Its flagship product, the Grok series of large language models, is integrated into the X social platform to deliver real-time, reasoning-capable conversational AI. The firm develops data-center infrastructure, training software, and safety protocols intended to create transparent, truth-seeking AI tools for consumers, enterprises, and researchers worldwide.
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