As a Finance Risk Expert at xAI, you will play a crucial role in advancing our cutting-edge AI systems by providing high-quality annotations, expert evaluations, and detailed risk reasoning using specialized labeling tools.
\nYou will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).
\nThis role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.
\nYour tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.
\nResponsibilities:
\nBasic Qualifications:
\nPreferred Skills and Experience:
\nLocation and Other Expectations:
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\nResponsibilities: Use proprietary software to deliver precise inputs, labels, and annotations for equity research projects, producing high-quality training data for AI models. Create and curate realistic, high-fidelity scenarios involving sector and company analysis, financial modeling, valuation methodologies (DCF, comparable companies, precedent transactions), earnings forecasts, investment thesis development, and research report preparation. Develop detailed examples of coverage initiation, earnings analysis, estimate revisions, industry-specific data analysis, and investment recommendation frameworks. Partner with technical staff to support the development of new AI tasks and contribute to innovative tooling. Help design and refine efficient annotation tools tailored to equity research workflows. Identify, analyze, and break down complex investment analysis problems aligned with your professional experience to improve model performance. Execute tasks accurately while maintaining consistency and adapting to new requirements.
\nBasic Qualifications: 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, and financial statement analysis. Strong command of written and spoken English (informal and professional). Excellent communication, interpersonal, analytical, and organizational skills. Superior reading comprehension and ability to exercise sound independent judgment with incomplete or ambiguous information. Genuine interest in technological innovation and its application to investment research.
\nPreferred Skills and Experience: Relevant certifications (e.g., FINRA licenses such as Series 7/63/86/87, current or expired). Familiarity with Bloomberg, FactSet, Capital IQ, or similar research platforms. Experience writing and publishing research notes, earnings summaries, or coverage reports for institutional clients. Experience mentoring or training junior associates in research methodologies, modeling best practices, or report writing. Quantitative mindset with ability to integrate structured data insights into fundamental analysis. Comfort recording audio or video sessions for data collection purposes. Prior exposure to AI, machine learning, data visualization, or data annotation workflows.
\nLocation 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. 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.
\nCompensation and Benefits: US-based candidates: $45/hour - $100/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.
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