xAI AI Tutor - Applied Math at xAI provides high-quality data annotations and evaluates model outputs in applied mathematics. The role supports training AI models by identifying errors and producing rigorous mathematical solutions.
Responsibilities
Evaluate model outputs, independently verify mathematical solutions, identify subtle errors in reasoning, modelling, or numerical computations, and produce clear, rigorous, and technically sound solutions and explanations.
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 development and implementation of innovative technologies and initiatives.
Work closely with technical staff to improve the design, functionality, and efficiency of annotation tools and workflows.
Solve problems across applied mathematics domains aligned with your expertise, including probability, statistics, numerical analysis, optimization, operations research, dynamical systems, data modeling, and related fields. Develop detailed solutions and critically evaluate AI-generated responses.
Interpret, analyze, and execute tasks accurately in accordance with established guidelines and project requirements.
Qualification
Meet one of the following criteriaA master’s degree or PhD in mathematicsPrevious experience in AI tutoringTeaching experienceStrong research skillsExcellent communicationLOCATION AND OTHER EXPECTATIONS
Required
Meet one of the following criteria:
A master’s degree or PhD in mathematics, with a specialization in an applied mathematics subfield; or
A medal in the International Mathematical Olympiad (IMO) or a comparable high-level mathematics competition.
English proficiency at CEFR C1 level or higher.
Preferred
Peer-reviewed publications in applied mathematics in reputable scientific journals.
Previous experience in AI tutoring, AI model evaluation, or related applications of artificial intelligence.
Teaching experience, particularly at the college or university level.
Strong research skills, including the ability to navigate diverse information resources, academic databases, and technical literature.
Excellent communication, interpersonal, analytical, and organizational skills.
Ability to exercise sound independent judgment when working with limited information.
A strong interest in technological advancement, innovation, and emerging technologies.
