Finance AI Trainer

Paro
Paro

Accounting & Finance, Software Engineering, Data Science · Contractor

United States

USD 40-125 / hour

Posted on Oct 3, 2026
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About the Opportunity

Paro is connecting experienced finance professionals with remote, project-based AI training opportunities where they can use their real-world expertise to help evaluate and improve AI-generated financial work. This is not a traditional finance role. You’ll apply your professional judgment to realistic financial scenarios involving areas such as valuation, financial modeling, credit analysis, investments, FP&A, treasury, and risk.

You’ll evaluate AI-generated models and analyses, identify faulty assumptions or calculations, and determine whether the work meets the standards expected of an experienced finance professional. The work is flexible and self-directed, with opportunities to contribute to projects based on your expertise, performance, and available work.

What You’ll Do

  • Develop challenging, realistic finance tasks based on professional experience and real-world workflows.
  • Create supporting materials such as financial statements, financial models, data extracts, term sheets, investment committee materials, and correspondence.
  • Evaluate AI-generated financial models, memos, analyses, and presentations.
  • Review assumptions, calculations, conclusions, recommendations, and identified risks.
  • Compare AI-generated responses and clearly explain where each succeeds or falls short.
  • Identify issues such as broken model logic, unsupported assumptions, misinterpreted financial statements, scaling or unit errors, and overlooked risks.
  • Develop detailed evaluation criteria defining what a professionally sound financial deliverable should contain.
  • Contribute across valuation and modeling, credit, FP&A, investments, treasury, markets, and risk.

What We’re Looking For

  • 2+ years of hands-on professional experience in corporate or investment finance preferred.
  • Bachelor’s degree or higher in Finance, Economics, Business, or a quantitative field completed or in progress.
  • Professional experience in one or more of the following:
  • Corporate finance / FP&A
  • Equity or fixed-income research
  • Portfolio management
  • Credit analysis or underwriting
  • Investment banking
  • M&A / corporate development
  • Treasury and liquidity
  • Market, credit, or liquidity risk
  • Wealth management
  • Insurance, actuarial, or underwriting
  • Hands-on financial modeling experience, including building or auditing models such as three-statement models, DCFs, comparable-company analyses, credit models, or budget/forecast models.
  • Current or recent hands-on finance experience strongly preferred.
  • Strong analytical judgment and attention to detail.
  • Ability to identify faulty assumptions, calculations, or conclusions and clearly explain why they are incorrect.
  • Strong written communication skills.
  • Familiarity with AI/LLM tools such as ChatGPT or Claude.
  • CFA, CPA, FRM, or relevant securities licenses are welcome but not required. Practical expertise is the priority.

Engagement Details

Pay: $40–$125/hour USD

Work Arrangement: Fully remote, contract/project-based

Availability: Approximately 10+ hours per week preferred; additional hours may be available

Location: United States, Canada, or the United Kingdom

Schedule: Flexible

Assessment & Next Steps

Qualified applicants will be invited to complete an approximately 2–4 hour unpaid skills assessment designed to evaluate finance expertise, analytical reasoning, attention to detail, and the ability to assess work against professional standards.

Assessment submissions must represent the applicant’s own work and may not be completed using AI tools.

Candidates who successfully complete the assessment may become eligible for ongoing paid AI training projects based on their expertise, performance, and available work.

If you’re an experienced finance professional interested in applying your expertise in a new way while contributing to the development of advanced AI systems, we’d love to hear from you.

Apply now
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