Occupational Math Tutor

xAI

SpaceXAI’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 employees 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 SpaceXAI'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, 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 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. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. - For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .