FP&A Analyst, Retail Finance AI Evaluation

You will create training data and review AI-generated responses for accuracy, relevance, and alignment with professional retail finance practices. The work is project-based and can be completed independently on an asynchronous schedule.

• Create training data based on retail finance and financial planning and analysis workflows.
• Evaluate AI-generated content and responses for accuracy, relevance, and professional quality.
• Use knowledge of financial planning, budget variance analysis, and long-range planning.
• Review hindsight analysis, store performance reporting, in-season reforecasting, and demand forecasting work.
• Give clear written feedback while working independently with AI research teams.

What it pays and takes

This role is open to candidates in the United States. Prior AI experience is not required, but you should understand retail finance work and be able to explain your judgments clearly in writing.

• Pay: Up to $80 per hour.
• Schedule: Flexible, asynchronous, and 20+ hours per week.
• Location: Remote and open to candidates in the United States.
• Language: Professional fluency in English.
• Experience: At least two years in retail finance or financial planning and analysis.
• Background: Experience as an FP&A Analyst, Senior FP&A Analyst, or in an equivalent retail finance role.
• Skills: Planning, forecasting, variance analysis, store performance reporting, strong written communication, and attention to detail.
• Work style: Able to work independently and asynchronously.
• Helpful experience: Retail financial planning tools and day-to-day retail performance analysis.

How it works

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

About AI training work

AI training is the human work behind artificial intelligence, including creating examples and reviewing model responses. OpenTrain is a platform where people find these projects, build a profile, and apply in one place; experienced professionals contribute practical knowledge that helps improve how AI systems respond.