Transaction Finance Professionals: AI Output Annotation and Ranking

What We're Researching We're hiring finance experts to evaluate AI-generated outputs related to transaction finance. Our goal is to improve how artificial intelligence processes complex financial data and structures transaction-related information. This work directly feeds into training more accurate and reliable financial models for the industry. How It Works During this paid study, you will review various AI-generated documents and data points specific to transaction finance. You will be asked to rank these outputs based on their factual accuracy, industry relevance, and overall quality. Additionally, you will provide detailed annotations to highlight errors or areas where the model's logic breaks down. The work is conducted asynchronously through our remote platform, allowing you to complete tasks at your own pace. Who This Is For This opportunity is tailored for professionals with direct experience in transaction finance, investment banking, or corporate development. We welcome financial analysts, transaction advisory specialists, M&A professionals, and corporate finance managers. Ideal candidates have a sharp eye for detail and a strong understanding of financial modeling and transaction workflows. What You'll Do

• Review AI-generated financial outputs for accuracy and logical consistency

• Rank multiple model responses based on their relevance to transaction finance workflows

• Annotate specific data points to correct errors or highlight hallucinations

• Provide brief written feedback explaining your ranking decisions

Who Should Apply

• Active professional experience in transaction finance, M&A, or investment banking

• Strong understanding of financial modeling and deal structuring

• Comfortable reviewing technical financial documents and data

• Excellent written communication skills for leaving clear annotations

Compensation $100 per task

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About Terac Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

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