Occupational Math Tutor

xAI xAI · AI Frontier · Remote · STEM

The role involves using proprietary tools to label and evaluate data, focusing on math as used in real-world occupational settings. The specialist will provide solutions, evaluate model responses for correctness and adherence to domain rules, and work with engineers to refine tasks and workflows. This is for enhancing AI technologies through high-quality inputs and labels.

What you'd actually do

  1. Use proprietary tools to label and evaluate data.
  2. Support and ensure the delivery of high-quality curated data.
  3. Work with engineers to refine tasks, tools, and workflows.
  4. Design, select, and refine tasks grounded in real-world occupational math, for example:
  5. 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.

Skills

Required

  • Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline
  • Bachelor's degree in a quantitative field plus substantial professional experience in a math-heavy occupational domain
  • Professional licensure or certification in a skilled trade with demonstrated expertise in trade-specific mathematical calculations
  • Strong proficiency in applied mathematics relevant to at least one of the above 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

Nice to have

  • 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

What the JD emphasized

  • strong training in applied/occupational math
  • substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain
  • demonstrated expertise in trade-specific mathematical calculations
  • Strong proficiency in applied mathematics
  • Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material

Other signals

  • labeling data
  • evaluating model responses
  • refining tasks, tools, and workflows