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xAI · 1 month ago

Occupational Math Tutor

United States

Full-time

Remote

Entry, Mid Level

$45/hr - $100/hr

2+ years exp

xAI is on a mission to create AI systems that understand the universe and aid humanity. As an AI Tutor – Occupational Math Specialist, you will enhance AI technologies by providing high-quality inputs, labels, and annotations focused on real-world occupational math across various domains like finance and healthcare.

Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning

Growth Opportunities

No H1B

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 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

Qualification

Applied MathematicsOccupational Math ExpertiseProfessional CertificationData AnnotationCommunication SkillsAnalytical SkillsReading ComprehensionOrganizational SkillsInterpersonal SkillsSelf-Motivation

Required

Must have one of the following: 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; or 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

Preferred

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