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XA

xAI

via Greenhouse

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AI Financial Analyst Tutor

Anywhere
full-time
Posted 10/6/2025
Direct Apply
Key Skills:
Financial Analysis
Equity Valuation
Fixed Income Analysis
Derivatives Pricing
Macroeconomic Trends
Forex Trading
Cryptocurrency Markets
Options Strategies
Data Annotation
Analytical Skills
Communication Skills
Interpersonal Skills
Organizational Skills
Technological Advancements
Innovation
Mentoring

Compensation

Salary Range

$45 - 100 hour

Responsibilities

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.

Requirements

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.

Full Description

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

This job posting was last updated on 10/7/2025

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