Corporate Finance Analyst AI Evaluation

You will help improve AI systems by reviewing corporate finance content and producing analytical work that reflects real finance, treasury, M&A, and enterprise finance practices. The work is project-based, remote, flexible, and asynchronous.

You will use your professional judgment to assess outputs, build financial models, prepare documentation, and give clear feedback on how well AI handles corporate finance workflows.

• Evaluate AI-generated content against corporate finance and financial-services standards.
• Produce expert analytical work and structured data outputs.
• Build price forecast models and prepare PPA documentation.
• Give accurate feedback on corporate finance workflows and practices.
• Work independently with strong written communication and attention to detail.

What it pays and takes

This opportunity is designed for professionals with practical corporate finance or related financial-services experience. Projects can be completed alongside research, teaching, postdoctoral work, or industry employment.

• Pay: Up to $80 per hour.
• Hours: 20+ hours per week, with a flexible asynchronous schedule.
• Location: Remote and open to candidates in the United States.
• Language: Professional fluency in English.
• Experience: At least two years in corporate finance, M&A, treasury, or an equivalent financial-services role.
• Relevant backgrounds include investment banking analyst, M&A analyst, corporate development analyst, treasury analyst, treasury manager, cash management specialist, SAP FI/CO functional consultant, or S/4HANA finance analyst.
• Tools: Hands-on experience with at least one of S&P Capital IQ, Kyriba, or SAP HANA.
• Helpful experience includes financial modeling, treasury or enterprise-finance documentation, price forecasting, PPA documentation, or complex finance workflow evaluation.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and start applications.

About AI training work

AI training is the human work behind artificial intelligence. Contributors review model responses, prepare examples, and provide feedback so systems can produce more accurate and useful results.

People with professional finance experience are valuable because they can judge whether AI-generated work follows real industry standards, workflows, and analytical practices.