Key skills
AIML
About this role
xAI is a company focused on creating AI systems that enhance human understanding of the universe. They are seeking a Quantitative Trader to improve their AI systems through high-quality data annotations and evaluations, collaborating with technical teams to develop new AI capabilities in quantitative trading domains.
Responsibilities:
- Use proprietary annotation and evaluation software to provide precise labels, rankings, critiques, and detailed solutions on assigned projects
- Deliver consistently high-quality, curated data that meets strict technical and scientific standards
- Collaborate with engineers and researchers to support the creation and iteration of new training tasks and evaluation benchmarks
- Provide feedback that helps improve the usability, efficiency, and precision of annotation and data-collection tools
- Select and solve complex problems from quantitative trading domains where you have deep expertise — examples include:
- Factor model construction and signal combination
- Market microstructure and order book dynamics
- Statistical arbitrage and pairs/cointegration strategies
- ML-driven alpha generation and feature engineering
- Optimal execution algorithms and transaction cost modeling
- Portfolio construction under constraints (risk, turnover, sector, etc.)
- Risk modeling and stress-testing frameworks
- Deliver rigorous model critiques, alternative solutions, mathematical derivations, and quantitative reasoning when evaluating AI outputs
- Interpret, analyze, and execute tasks efficiently based on detailed (and sometimes evolving) instructions