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AI Quant Tutor

Xai

$45 - $100
Sep 27, 2025
Palo Alto, CA, US
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xAI is looking to enhance the capabilities of its AI systems by providing high-quality input and labels for training AI tasks, specifically in the domain of quantitative finance, to aid in the pursuit of knowledge.

Requirements

  • Proficiency in reading and writing, both in informal and professional English.
  • Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings).
  • Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
  • Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib)

Responsibilities

  • Use proprietary software applications to provide input/labels on defined projects.
  • Support and ensure the delivery of high-quality curated data.
  • Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
  • Interact with the technical staff to help improve the design of efficient annotation tools.
  • Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
  • Regularly interpret, analyze, and execute tasks based on given instructions.

Other

  • Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst.
  • Outstanding communication, interpersonal, analytical, and organizational capabilities.
  • Strong passion for and commitment to technological advancements and innovation in quantitative finance.
  • Professional experience as a quantitative trader or analyst.
  • Teaching experience as a professor