About the role
Work directly with AI systems to create high-quality accounting data and help models produce more accurate, well-supported answers. Apply your graduate-level accounting knowledge while learning how human feedback and domain-specific examples contribute to AI post-training.
What you'll do
- Interact with AI models on transaction classification, reconciliations, financial statements, and accounting workflows.
- Develop realistic accounting tasks, reference answers, and step-by-step explanations using approved project materials.
- Review AI-generated outputs for calculation errors, inconsistent classifications, missing information, and unsupported reasoning.
- Compare and annotate responses, document corrections, and apply quality checks to the data you create.
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 accounting, finance, or a related field.
- Familiarity with basic accounting principles and financial statements.
- Comfort using spreadsheets to organize data and check reconciliations.
- Careful documentation, attention to detail, and clear communication.