The role of Occupational Math Tutor at xAI involves providing high-quality inputs, labels, and annotations for AI technologies, focusing on occupational math across diverse domains. The tutor will use proprietary tools to label and evaluate data, work closely with engineers to refine tasks and workflows, design domain‑specific math tasks, and evaluate model responses for accuracy and clarity. The position is remote and can be full‑time, part‑time, or contractor, offering competitive hourly compensation and benefits for U.S. based candidates.
Occupational Math Tutor at xAI
Remote - Remote
More jobs at xAISalary
USD 45 - 75
Requirements
Skills
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline
- or a Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis
- Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist)
- Strong proficiency in applied mathematics relevant to at least one of the domains
- Proficiency in reading and writing, both in informal and professional English
- Strong ability to navigate various information resources and databases
- 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
- A strong passion for and commitment to technological advancements and innovation
- Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor)
- Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades
- Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics
- Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts
Responsibilities
- Use proprietary tools to label and evaluate data
- Support and ensure the delivery of high-quality curated data
- Work with engineers to refine tasks, tools, and workflows
- Design, select, and refine tasks grounded in real-world occupational math for domains such as insurance and risk, logistics and operations, skilled trades, finance and banking, accounting and tax, health and social data
- Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules, clarity, and plausibility
- Interpret, analyze, and execute tasks based on given instructions
Technologies
Proprietary data labeling toolsSpreadsheet softwareFinancial and risk modelsDashboardsTechnical drawings
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