Commercial Banking AI Evaluation Expert

The Work

You will evaluate AI-generated responses to commercial banking questions and workflows. Your reviews will help measure whether model outputs are accurate, complete, and suitable for small and middle-market business contexts.

The work combines commercial banking judgment with clear evaluation standards for AI systems.

• Review responses about commercial and industrial lending, commercial real estate finance, and credit underwriting.
• Create scoring guidelines for global cash flow analysis, debt service coverage calculations, loan structuring, covenant design, and risk rating assignments.
• Assess model responses about commercial credit analysis, business lending, treasury management, and relationship management.
• Work with AI researchers and other banking professionals on training methods, evaluation approaches, and benchmarks.

What It Pays And Takes

This is a fully remote freelance contract role with a flexible part-time commitment. The project is expected to last about one month and may be extended.

• $100 per hour.
• 20 or more hours per week.
• Open worldwide.
• Fluent written English.
• At least two years of commercial banking experience as a commercial credit analyst, relationship manager, commercial underwriter, portfolio manager, credit officer, or in a comparable role.
• Strong knowledge of financial statement analysis, credit underwriting frameworks, loan documentation, and portfolio monitoring.
• Experience applying banking judgment to small and middle-market businesses.
• Strong critical thinking, written communication, and problem-solving skills.
• Helpful qualifications include CFA study or certification, RMA Credit Risk Certification, formal bank credit training, or an MBA in Finance.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work uses human review to help improve systems that generate and evaluate information. People with commercial banking experience are valuable because they can judge whether complex financial answers are accurate, complete, and appropriate.