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Xai
Occupational Math Tutor
qafull-timeRemote
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
ai
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About the role
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).
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.
BASIC 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).
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