xAI

Provide accurate insurance data annotations and inputs to support AI model training, collaborate with technical teams, and improve annotation tools. | Professional insurance experience in actuarial analysis, risk assessment, claims adjustment, or policy evaluation, strong communication and analytical skills, and adaptability. | 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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a skilled AI Insurance Data Specialist to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to insurance contexts. In this role, you will leverage your expertise in actuarial analysis, risk assessment, claims adjustment, and policy evaluation to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world insurance dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities • Utilize proprietary software to provide accurate input and labels for insurance projects, ensuring high-quality data for AI model training. • Deliver curated, high-quality data for scenarios involving actuarial analysis, risk assessment, claims adjustment, and policy evaluation. • Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. • Assist in designing and improving efficient annotation tools tailored for insurance data. • Select and analyze complex problems in insurance fields aligned with your expertise to enhance AI model performance. • Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications • Professional experience in insurance or related fields (e.g., insurance actuary, insurance adjuster, or roles involving risk assessment, claims processing, or policy evaluation). • Proficiency in reading and writing informal and professional English. • Strong communication, interpersonal, analytical, and organizational skills. • Excellent reading comprehension and ability to exercise autonomous judgment with limited data. • Passion for technological advancements and innovation in insurance. Preferred Qualifications • Relevant certification or advanced training (e.g., Associate or Fellow of the Society of Actuaries, Chartered Property Casualty Underwriter (CPCU), or similar insurance-related certification). • Experience mentoring or training others in insurance practices, such as actuarial analysis or claims adjustment. • Comfort with recording audio or video sessions for data collection. • Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations • This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. • US-based candidates cannot be hired in Wyoming or Illinois at this time. • Visa sponsorship is not available. • Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. • For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: • Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. • A take-home challenge focused on legal or compliance data labeling or analysis. • A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Provide accurate input and labels for financial analysis projects to ensure high-quality data for AI model training. Collaborate with technical teams to refine annotation tools and curate impactful data for AI systems. | Professional experience in financial analysis or related fields is required, along with strong communication and analytical skills. Relevant certifications and experience mentoring others are preferred. | 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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role We are seeking a skilled AI Financial Analysis Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to financial analysis contexts. In this role, you will leverage your expertise in equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for financial analysis projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for financial analysis data. Select and analyze complex problems in financial analysis fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptabil Required Qualifications Professional experience in financial analysis or related fields (e.g., equity analyst, FICC analyst, structured products/derivatives specialist, macro strategist, forex trader, crypto analyst, or options trader). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in financial analysis. Preferred Qualifications Relevant certification or advanced training (e.g., CFA, FRM, Series 7, or similar financial certification). Experience mentoring or training others in financial analysis or trading practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

You will manage and optimize Linux and Windows based infrastructure to ensure reliability and performance. This includes building, managing, and supporting complex application stacks and collaborating with cross-functional teams to enhance system efficiency. | The ideal candidate will have 3 to 5 years of experience in systems engineering for corporate infrastructure and managing large-scale Windows and Linux server environments. Strong analytical skills, communication skills, and proficiency in scripting languages are also essential. | 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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. We’re looking for a talented and experienced IT Systems Engineer to join our team and help us build and maintain a robust infrastructure. Who We Are: The IT Systems Team at 𝕏 manages a dynamic and evolving virtual infrastructure that provides secure, high-performance, and reliable corporate resources for business-critical users and applications. This role focuses on building, deploying, and managing internal Windows and Linux infrastructure while collaborating with other teams to develop scalable solutions. What You’ll Do: In this role, you’ll be responsible for managing and optimizing Linux and Windows based infrastructure to ensure reliability and performance. You’ll work closely with cross-functional teams to implement best practices and enhance system efficiency. Your role will include: Building, managing, and supporting complex application stacks on Windows and Linux Servers. Providing Windows and Linux troubleshooting and technical support. Deploy, configure and support VMware technologies, including vCenter, ESX and Horizon. Use Puppet Enterprise to automate and manage configurations. Working with other engineering teams and third-party vendors to implement scalable solutions. Ensuring compliance by collaborating with internal audit and compliance teams. Developing and maintaining standard operating procedures. Participating in a 24/7 on-call support rotation. Managing and monitoring all installed Windows and Linux systems and infrastructure. Installing, configuring, testing, and maintaining operating systems and system management tools. Proactively ensuring high levels of system availability and reliability. Monitoring and optimizing application performance, identifying bottlenecks, and collaborating with developers to implement solutions. Writing and maintaining custom scripts to improve system efficiency and automation. Who You Are: You are a highly skilled IT Systems Engineer with a deep understanding of infrastructure management and automation. You thrive in a collaborative and fast-paced environment, leveraging your expertise to enhance system performance and reliability. The ideal candidate will also have: 3 to 5 years of experience in the following: Systems Engineering for Corporate Infrastructure. Managing large-scale Windows and Linux server environments. Virtualization at scale. Configuration Management. Managing scalable storage solutions, preferably NetApp. Developing and maintaining performance metrics for systems. Strong understanding of Puppet Enterprise and Puppet Open Source. Strong understanding of basic networking concepts. Proficient with using Puppet to automate and manage configurations. Experience with NetApp storage arrays Ability to translate business needs into technical solutions. Outstanding analytical and problem-solving skills. Strong written and verbal communication skills. Experience writing technical design documents and maintaining documentation. Familiarity with working in a source-controlled environment. Proficiency in scripting languages such as Bash, Python, or Perl. Experience with VMware services, including VMware data center virtualization and VMware Horizon. Nice to Have: Familiarity with DevOps practices and CI/CD tools. Knowledge of orchestration tools. At 𝕏, our small but fast-paced team values innovation and creativity. You'll have the opportunity to make a significant impact on the future of 𝕏 and our aspiration to build the Everything App. If you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over-achievers, your career with us here at 𝕏 will be both exhilarating and fulfilling. Annual Salary Range $162,000 - $226,000 Benefits Base salary is just one part of our total rewards package at 𝕏, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice