AI Tutor - STEM Specialist

📋 Description

• • Shape the future of artificial intelligence as an AI Tutor – STEM Specialist at xAI Corporation, where your deep subject-matter expertise will directly influence how next-generation models reason through the toughest problems in science, technology, engineering, and mathematics.
• • Own the end-to-end creation of high-quality training data: identify, curate, and annotate advanced STEM problems drawn from calculus, linear algebra, discrete math, statistics, physics, chemistry, biology, computer science, and engineering so that our models learn from the most rigorous examples available.
• • Translate complex human problem-solving into machine-readable formats—text, voice, and video—by recording step-by-step derivations, narrating your thought process, and labeling every logical leap, assumption, and heuristic you apply.
• • Collaborate daily with xAI’s research engineers and product scientists to refine annotation tooling, propose new schema for capturing expert reasoning, and pilot experimental workflows that accelerate model improvement cycles.
• • Serve as the critical bridge between human cognition and machine learning: your annotations will become the ground-truth data that teaches our models not just what the right answer is, but how an expert arrives at it under uncertainty, time pressure, or incomplete information.
• • Continuously audit model outputs for factual accuracy, mathematical rigor, and pedagogical clarity; when errors surface, design targeted data augmentation tasks that close knowledge gaps and prevent similar mistakes in the future.
• • Contribute to internal knowledge bases and playbooks that standardize best practices for STEM annotation, ensuring consistency across a globally distributed team of tutors and domain experts.
• • Participate in weekly “deep-dive” sessions where you present particularly thorny problems or novel solution strategies, fostering a culture of intellectual curiosity and cross-disciplinary learning.
• • Stay ahead of the academic curve by monitoring pre-print servers, conference proceedings, and open-courseware for emerging topics—then rapidly prototype training sets that expose our models to the latest breakthroughs.
• • Uphold the highest standards of data privacy and ethical AI development, following strict protocols for anonymizing proprietary content and ensuring fair representation across demographic and geographic dimensions.
• • Work fully remote with flexible hours, yet remain tightly integrated through synchronous stand-ups, asynchronous code reviews, and collaborative white-boarding sessions in virtual STEM labs.
• • Measure your impact through quantitative metrics—annotation throughput, error-rate reduction, downstream benchmark gains—and qualitative feedback from research scientists who rely on your datasets to push the frontier of AI reasoning.