- Страна
- США
- Зарплата
- 45 $ – 75 $
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Occupational Math Tutor
Исключительная возможность работать в одной из самых амбициозных ИИ-компаний мира (xAI) с гибким графиком и конкурентной почасовой оплатой. Роль предлагает интеллектуальный вызов и прямое влияние на развитие передовых технологий.
Сложность вакансии
Высокая сложность обусловлена требованиями к ученой степени (Master's/PhD) или специфическому профессиональному опыту в узких нишах, таких как актуарные расчеты или логистическая оптимизация. Кандидат должен не просто знать математику, но и уметь применять её в контексте бизнес-правил и нормативных актов.
Анализ зарплаты
Предлагаемая ставка $45-$75 в час ($7,200 - $12,000 в месяц при полной занятости) значительно выше среднего рынка для обычных репетиторов, так как требует экспертных знаний в STEM и ИИ. Это соответствует топовому сегменту для специалистов по разметке данных и AI-тьюторов в США.
Сопроводительное письмо
I am writing to express my strong interest in the Occupational Math Tutor position at xAI. With a solid background in quantitative analysis and professional experience in financial modeling and risk assessment, I am excited about the opportunity to contribute to your mission of creating AI systems that accurately understand the universe. My expertise in applying mathematical principles to real-world scenarios, such as loan amortization and cost optimization, aligns perfectly with the goals of your AI training program.
Throughout my career, I have developed a keen eye for detail and a commitment to engineering excellence. I am particularly drawn to xAI's flat organizational structure and the hands-on nature of the role. I am confident that my ability to provide clear, step-by-step solutions and my proficiency in navigating complex data resources will allow me to deliver high-quality curated data that will significantly enhance your AI models. I look forward to the possibility of bringing my analytical skills to your innovative team.
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Описание вакансии
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 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 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, 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.
xAI is an equal opportunity employer. For details on data processing, view ourRecruitment Privacy Notice.
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Навыки
- Statistics
- Finance
- Analytical Skills
- Economics
- Operations Research
- Mathematics
- Data Labeling
- Actuarial Science
Возможные вопросы на собеседовании
Проверка способности объяснять сложные концепции простыми шагами, что критично для обучения ИИ.
Объясните процесс расчета графика амортизации кредита так, как если бы вы писали инструкцию для модели ИИ.
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Опишите ваш опыт создания сложных электронных таблиц или моделей риска: с какими трудностями вы столкнулись и как их решили?
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Как вы организуете свою работу над несколькими задачами по разметке данных, чтобы обеспечить высокую точность при сжатых сроках?
Оценка мотивации и понимания миссии компании.
Почему, по вашему мнению, качественная разметка данных в области прикладной математики является ключевой для развития AGI?
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- Страна
- США
- Зарплата
- 45 $ – 75 $