You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

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In this fast-paced, constantly evolving environment, you'll go beyond standard reporting,you'll analyze data, surface insights, and proactively engage with cross-functional teams across engineering, operations, and program management to deliver meaningful financial intelligence. Your work will support program performance and contribute to the continued growth of a critical business area.

The ideal candidate brings experience in financial modeling, operational finance, and data analysis, along with a foundational understanding of US GAAP, government contracting, and hardware-oriented environments. Strong technical skills are table stakes – success in this role depends on your ability to apply them to influence decisions and drive results. If you're detail-oriented, intellectually curious, and motivated to make an impact, we want to hear from you.

Key responsibilities include owning financial visibility and performance for assigned programs, building and maintaining financial models, analyzing financial and operational data, and communicating insights to stakeholders. You'll also build strong relationships with Program Management and Engineering teams to ensure financial considerations are embedded in program decisions.

Success in this role means becoming a trusted partner to program and engineering leads, identifying and surfacing financial risks early, and improving visibility into program performance where data and processes are incomplete or evolving.

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