Finance Intern

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.

Requirements

• 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.

Alpheva is a new expert network (launched September 2026); payout methods are not published yet, so confirm your first payment before scaling up.