Review AI-generated finance outputs, verify figures and rules against authoritative sources, perform quantitative checks and recomputations, assess financial reasoning, provide structured feedback on model performance, and collaborate with researchers to improve models.
Key Responsibilities
- Review AI-generated outputs across a range of finance topics
- Verify figures and rules against authoritative sources, including quantitative checks
- Assess financial reasoning and provide structured feedback on model performance
- Collaborate with researchers to assess and improve model performance
3. Ideal Qualifications
- U.S.-based finance professional with a recognized credential — CPA, EA, CFP, or CFA (in good standing where applicable)
- 2+ years in a substantive finance role (tax, financial planning, analysis, IB/PE, or advisory)
- Demonstrated ability to verify figures and rules against authoritative sources, including basic quantitative checks
- Strong quantitative verification — able to independently recompute a stated figure
- Comfort checking rules in unfamiliar systems against official sources
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



