About xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Role
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 (e.g., finance, accounting, insurance, operations, logistics, skilled trades, healthcare analytics, and
- 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.
Required Qualifications
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.
Also required:
- 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 Qualifications
- 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.
Location, Hourly & Other Expectations
- This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required.
- US-based candidates cannot be hired in Wyoming or Illinois at this time.
- Visa sponsorship is not available.
- Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter.
- For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later.
Compensation
$45/hour - $75/hour
The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location.
Benefits:
Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
