SpaceXAI’s mission is to create AI systems that 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, expecting all employees to be hands‑on and to contribute directly to the company’s mission. As an AI Tutor – Occupational Math Specialist, you will enhance our AI technologies through high‑quality inputs, labels, and annotations using specialized software, focusing on real‑world occupational math across domains such as finance, insurance, logistics, skilled trades, healthcare analytics, and more.
Occupational Math Tutor na SpaceXAI
Remoto - Remote
Ver mais vagas na SpaceXAISalary
USD 45 - 75/hour
Requirements
Skills
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline
- 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
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, such as insurance and risk calculations, logistics and operations, skilled trades, finance and banking, accounting and tax, health and social data
- Provide detailed, step‑by‑step solutions and evaluate model responses for correctness, adherence to domain rules, clarity, and plausibility
- Interpret, analyze, and execute tasks based on given instructions
Technologies
proprietary toolsAI technologies
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