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Finance Expert - Equity Research

Job Overview

Location

Remote

Job Type

Full-time

Category

Finance

Date Posted

March 24, 2026

Full Job Description

đź“‹ Description

  • • As a Finance Expert - Equity Research at xAI Corporation, you will serve as an in-house subject matter expert, leveraging your deep expertise in capital markets, financial modeling, and investment research to create high-fidelity training data that enables AI models to understand and replicate institutional-grade equity analysis. Your work will directly contribute to advancing frontier AI systems designed to comprehend complex financial concepts and support humanity’s pursuit of knowledge through accurate, real-world simulations.
  • • Day to day, you will use proprietary software to deliver precise inputs, labels, and annotations for equity research projects; create and curate realistic, high-fidelity scenarios involving sector and company analysis, financial modeling (DCF, comparable companies, precedent transactions), valuation methodologies, earnings forecasts, and investment thesis development; develop detailed examples of coverage initiation, earnings analysis, estimate revisions, and industry-specific data analysis; partner with technical teams to support the development of new AI tasks and innovative tooling; help design and refine efficient annotation tools tailored to equity research workflows; and identify, analyze, and break down complex investment problems to improve model performance while maintaining accuracy and adapting to evolving requirements.
  • • You will join a small, highly motivated team at xAI that operates with a flat organizational structure, where initiative and excellence are rewarded with leadership opportunities. The company is mission-driven, focused on engineering excellence, and values curiosity, strong communication, and hands-on contribution to the goal of building AI systems that understand the universe.
  • • In this role, you will deepen your expertise in applying financial analysis to AI training contexts, gain experience collaborating with machine learning engineers on data annotation workflows, and contribute to cutting-edge AI systems that learn from institutional-grade financial research — positioning you at the intersection of finance and artificial intelligence with opportunities to shape how AI understands complex economic systems.

🎯 Requirements

  • • Minimum of 2 years of professional experience in sell-side or buy-side equity research with demonstrated sector coverage responsibility
  • • Proficiency in financial modeling, valuation techniques (DCF, comparable companies, precedent transactions), and financial statement analysis
  • • Strong command of written and spoken English, excellent communication and interpersonal skills, and superior reading comprehension with ability to exercise sound independent judgment amid ambiguity

🏖️ Benefits

  • • Competitive hourly compensation ranging from $45/hour to $100/hour for US-based candidates, based on experience, skills, education, location, and qualifications
  • • For eligible US-based positions: access to health insurance, 401(k) plan, and paid sick leave (specific details provided during interview process)
  • • Fully remote work flexibility from any location worldwide (subject to legal eligibility and time-zone compatibility), with no visa sponsorship required
  • • Opportunity to work on innovative AI projects that blend financial expertise with machine learning, contributing to the training of advanced models in a fast-moving, mission-driven environment

Skills & Technologies

Design
Remote

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xAI Corporation
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About xAI Corporation

xAI Corporation, founded by Elon Musk in 2023 and headquartered in San Francisco, California, is an artificial-intelligence company focused on building advanced AI systems that accelerate human knowledge and scientific discovery. Its flagship product, the Grok series of large language models, is integrated into the X social platform to deliver real-time, reasoning-capable conversational AI. The firm develops data-center infrastructure, training software, and safety protocols intended to create transparent, truth-seeking AI tools for consumers, enterprises, and researchers worldwide.

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