About the role
Work directly with AI systems to create high-quality finance data that helps improve the next generation of AI. Apply your graduate-level finance knowledge to realistic problems while learning how expert feedback and evaluation data support AI post-training.
What you'll do
- Interact with AI models on financial analysis, financial statements, cash-flow modeling, and scenario-based questions.
- Create clear prompts, reference answers, and worked examples grounded in sound financial reasoning.
- Compare AI-generated responses, check calculations and assumptions, and identify unsupported conclusions.
- Annotate errors and explain what a strong answer should include so the resulting data is useful for model improvement.
What you'll learn
- Learn how domain-specific examples and human feedback are used to support AI post-training.
- Gain practical experience evaluating AI responses, applying annotation guidelines, and checking dataset quality.
- See how factual accuracy, clear reasoning, and consistent feedback help teams assess and improve AI model behavior.
- Build experience at the intersection of your academic field and applied AI through project work and feedback.
Work arrangement
- Remote internship
- Collaborate with the team on scoped AI data and evaluation projects
Project scope, schedule, tools, and expectations will be discussed during the application process. Use only approved materials; do not share confidential employer, client, or university research data.
What we're looking for
- Currently enrolled in a master’s or higher degree program in finance, economics, business, or a related field.
- Comfort working with spreadsheets and basic financial statements.
- Ability to check calculations, document assumptions, and explain findings clearly.
- Attention to detail and willingness to learn through feedback.