
Job Overview
Location
Remote
Job Type
Full-time
Category
Writing
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As an AI Tutor - Applied Math Specialist at xAI Corporation, you will directly contribute to the mission of creating AI systems that understand the universe by providing high-quality mathematical inputs, labels, and annotations that train and refine cutting-edge AI models. Your expertise in applied mathematics will be instrumental in shaping how AI reasons through complex, real-world problems, making this role pivotal to advancing both AI capabilities and human knowledge.
- • Day to day, you will use proprietary software to label and curate datasets for AI training, select and create challenging applied math problems from domains such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, and data modeling, and provide detailed solutions to evaluate and improve model responses. You will collaborate closely with technical staff to refine annotation tools, interpret task instructions accurately, and ensure the delivery of high-quality curated data that supports the development of new AI capabilities.
- • You will work within a small, highly motivated, and flat-organizational team at xAI where initiative, hands-on contribution, and engineering excellence are valued. The company fosters a culture of curiosity and direct impact, where leadership emerges from consistent performance and all employees are expected to communicate knowledge clearly and prioritize effectively to advance the mission of understanding the universe through AI.
- • In this role, you will deepen your expertise in applying mathematical concepts to AI training scenarios, gain experience in human-AI interaction design, and contribute to meaningful advancements in model performance. You will develop skills in data curation, annotation tool feedback, and cross-functional collaboration with engineers and researchers, positioning you at the forefront of AI development while applying your advanced mathematical training in a real-world, innovative context.
🎯 Requirements
- • Must have either a Master’s or PhD in Mathematics with a specialization in applied mathematics, or a medal in an International Math Olympiad (IMO) or equivalent-level math competition.
- • Proficiency in reading and writing in both informal and professional English, with strong communication, interpersonal, analytical, and organizational abilities.
- • Strong ability to navigate information resources and databases, combined with solid reading comprehension and the capacity to exercise autonomous judgment when working with limited data or materials.
- • A strong passion for technological advancement and innovation, along with a commitment to contributing to xAI’s mission through hands-on, detail-oriented work.
🏖️ Benefits
- • Competitive hourly compensation ranging from $45/hour to $75/hour for U.S.-based candidates, based on experience, skills, education, location, and qualifications.
- • Eligible U.S.-based positions include access to benefits such as health insurance, 401(k) retirement plan, and paid sick leave, with specific details provided during the interview process.
- • Fully remote work flexibility from any location worldwide, subject to legal eligibility and time-zone compatibility, allowing you to contribute from wherever you are based.
- • Opportunity to work on cutting-edge AI projects with a small, mission-driven team that values initiative, excellence, and direct impact on the development of intelligent systems.
Skills & Technologies
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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