Finance AI Model Evaluation Expert

About OpenTrain

OpenTrain AI helps people build careers in AI training and data labeling, a fast-growing field at the intersection of human expertise and artificial intelligence. Through OpenTrain, specialists can discover projects, build a professional AI training portfolio, and apply for opportunities that match their experience.

Creating an OpenTrain account is free. This role is a remote, part-time contractor opportunity hired and managed through OpenTrain AI.

• Remote work arrangement
• Part-time contractor engagement
• 20+ hours per week
• English-language work
• Available in the eligible countries listed for this opportunity

About Finance AI Training

AI training is the human work behind modern AI systems. Experts review model responses, prepare examples, evaluate accuracy, and provide feedback that helps AI become more useful and reliable.

In this role, your finance expertise will guide the evaluation of financial content, research, valuation reasoning, and investment-related outputs. Your judgment can help shape how AI handles complex professional finance tasks.

• Work with AI-generated financial content and model outputs
• Apply professional standards to accuracy, clarity, and reasoning
• Help improve finance-focused prompts and model performance
• Use specialized finance knowledge in cutting-edge AI development

The Role

OpenTrain is seeking a Finance AI Model Evaluation Expert to assess AI-generated financial content, prompts, reports, and model outputs. You will combine advanced financial judgment with annotation, research, editing, fact-checking, and structured feedback.

The work includes evaluating prompts related to financial analysis, valuation, and investment decision-making. You will identify weaknesses, validate information, and recommend improvements that support more accurate and professionally appropriate finance-focused AI results.

• Advertised compensation: $100-$200 per hour
• Work type: remote, part-time contractor
• Experience level listed for the opportunity: entry level
• Required working language: English

What You’ll Do

You will review complex financial materials against detailed rubrics and established best practices. The role requires careful reasoning, independent research, and the ability to explain why an AI output is accurate, incomplete, unclear, or inconsistent.

• Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.
• Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.
• Annotate complex financial data, reports, and model outputs using detailed rubrics.
• Author and review technical documentation, investment memos, due-diligence reports, and research summaries.
• Evaluate outputs for logical consistency, robustness, and alignment with professional financial standards.
• Conduct independent research and fact-checking to validate information used by AI systems.
• Provide constructive feedback that supports prompt refinement and stronger finance-focused model results.

Requirements

Applicants should have at least three years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance. Relevant experience includes producing or reviewing investment memos, valuation analyses, financial models, due-diligence reports, or market research.

The opportunity is listed as entry level, but the role-specific requirements call for substantial professional finance experience. Prior AI, prompt-writing, data annotation, content review, or model-output evaluation experience is helpful but not required.

• Demonstrated judgment in financial analysis, valuation, and investment decision-making.
• Experience producing or reviewing investment memos, financial models, due-diligence reports, or market research.
• Strong analytical reasoning, critical thinking, and attention to detail.
• Strong professional, technical, and business writing and editing skills.
• Clear communication, independent research, and fact-checking abilities.
• Ability to follow detailed evaluation guidelines and assess logical consistency.
• Ability to author and refine prompts for finance-focused AI tasks.

Helpful Background

An advanced degree such as a Master’s, JD, MBA, or PhD can be helpful, as can equivalent academic preparation. Experience making complex investment decisions, explaining analytical conclusions, and improving written or quantitative deliverables is particularly relevant.

• Advanced academic preparation in a relevant field
• Experience explaining complex financial conclusions
• Experience improving the quality of written or quantitative work
• Prior exposure to AI evaluation or data-labeling workflows

Why Work With OpenTrain

OpenTrain gives specialists a place to develop a durable portfolio around their expertise in AI training and data labeling. By documenting your experience and discovering relevant projects through your OpenTrain profile, you can grow your presence in a rapidly expanding industry.

AI training offers flexible remote work for people who want to apply professional knowledge to the development of state-of-the-art systems. This opportunity lets finance professionals contribute directly to how AI understands and communicates financial analysis.

• Build a portfolio demonstrating specialized finance and AI evaluation experience.
• Find opportunities aligned with your professional background.
• Apply your expertise to emerging AI applications.
• Create a free OpenTrain account to get started.