As an AI Tutor – Occupational Math Specialist, you'll help advance xAI's mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You'll focus on math as it is used in real-world occupational settings, such as finance, accounting, insurance, operations, logistics, skilled trades, and healthcare analytics.
\nResponsibilities: 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 example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.
\nBasic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; 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) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). 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.
\nPreferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. 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.
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\nResponsibilities: 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 example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.
\nBasic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; 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) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). 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.
\nPreferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. 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.
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\nYou will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).
\nThis role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.
\nYour tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.
\nResponsibilities:
\nBasic Qualifications:
\nPreferred Skills and Experience:
\nLocation and Other Expectations:
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