$60–180/hr · Mercor · Part time
Contribute to AI training by creating financial analysis tasks, evaluating model outputs, and providing domain expertise for frontier AI research.
What you would do
- Design realistic financial scenarios reflecting actual business challenges and analysis requirements
- Evaluate AI-generated financial analysis and reasoning for accuracy, completeness, and soundness
- Grade model outputs against financial best practices and multi-criteria evaluation standards
- Provide written feedback on financial errors, logical gaps, and areas for improvement
- Collaborate on rubric development for assessing financial decision-making and analysis quality
Who they want
- Professional experience in financial modeling, forecasting, statement analysis, or budgeting roles
- Expertise in creating financial scenarios and evaluating financial analysis quality
- Strong written communication skills for explaining financial reasoning and technical concepts
- Comfort working independently in a remote environment on variable-scope projects
- Availability for 15-30 hours per week with flexible scheduling to match project timelines
Main skills
What the interview asks about
1.Financial modeling and scenario analysis
AI models need to learn from realistic financial scenarios, so evaluators must understand model reasoning about projections, assumptions, and financial relationships.
For example: “A client projects 20% revenue growth next year but only 5% cost increase. An AI model says this is unrealistic. Do you agree? How would you evaluate the model's financial reasoning?”
2.Detecting financial errors and gaps
AI systems make plausible-sounding but incorrect financial arguments, so experts must identify subtle errors in calculation, assumptions, or logical reasoning.
For example: “An AI analysis calculates gross margin correctly but then applies outdated tax rates when computing net income. What's the correct error description for evaluating this model response?”
3.Financial statement interpretation
Understanding relationships between financial statements helps identify whether an AI model grasps interconnections between balance sheet, income statement, and cash flow.
For example: “A company reports 10M net income but negative cash flow. An AI model says this is impossible. Is the model correct? How would you explain the actual relationship?”
4.Multi-criteria financial judgment
Real financial decisions involve balancing competing constraints like cost, cash flow, and profitability, requiring nuanced judgment that AI systems need to learn.
For example: “Choosing between two capital projects: Project A has higher ROI but longer payback period; Project B has lower ROI but immediate cash needs are urgent. How would you structure evaluation criteria for this decision?”
A task you may get
Create a financial scenario involving budget reconciliation and forecasting, design a 5-item evaluation rubric, and grade sample AI responses on this scenario.
How to prepare
- Review recent financial analysis content and understand how AI models typically approach financial reasoning problems
- Document your expertise in specific finance domains: modeling, forecasting, analysis, or budgeting with concrete examples
- Develop a sense for how to explain financial concepts in writing for a technical audience unfamiliar with finance
- Research common AI errors in financial analysis to prepare for identifying and articulating model weaknesses
The facts
- Pay
- $60–180/hr
- Hours
- Part time
- Where
- Remote
- Field
- Finance
- Role type
- Talent network
- Posted
- 2/27/2026
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