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What We're Researching:
- Building realistic accounting scenarios to train AI for financial decision-making.
- Using domain expertise to inform the structure and logic of simulated environments.
How It Works:
- Interact with a reinforcement learning platform tailored for financial workflows.
- Map out common finance scenarios with variables, constraints, and outcomes.
- Provide feedback on the accuracy and usability of modeling tools.
Who This Is For:
- Experienced finance and accounting professionals with strong modeling skills.
- CPAs, financial analysts, quantitative analysts, and corporate finance managers.
- Comfortable with technical platforms but AI experience not required.
What You'll Do:
- Map out realistic finance and accounting scenarios using platform tools.
- Define variables, constraints, and logic for financial workflows.
- Provide feedback on the scenario builder's accuracy.
Terac
Terac is building the world's largest pool of vetted human experts for AI. They recruit and screen study participants across industries, languages, and skill sets.