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Financial AI Model Evaluation Expert

Evaluate and improve AI models on finance-related tasks through expert reviews, structured rubrics, and benchmark design. This fully remote, part-time contract role offers flexible work for finance professionals in India.

OpenTrain AI

Legal & Finance

Remote

1 country

Eligibility

Entry

Experience

Jul 28, 2026

Posted

Open to applicants in

India

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About OpenTrain

OpenTrain AI is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, build a professional profile, and apply to meaningful opportunities that shape how modern AI systems work.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts review model responses, assess accuracy and reasoning, and create structured feedback that helps AI systems perform better in real-world fields such as finance.

  • Work remotely with a computer and internet connection
  • Contribute to cutting-edge AI development
  • Use your professional expertise without requiring prior AI experience
  • Build experience in a rapidly growing field

The Role

OpenTrain AI is seeking a Financial AI Model Evaluation Expert to assess and improve AI model performance on finance-related tasks. You will review model outputs, develop rigorous evaluation frameworks, and collaborate with AI researchers on training methods and benchmarks.

This is a fully remote, part-time contractor opportunity with flexible hours and a time requirement of 20 or more hours per week. The role is available to candidates based in India and requires excellent written and verbal English.

  • Employment type: Part-time contract
  • Location: India
  • Work arrangement: Fully remote
  • Time requirement: 20+ hours per week
  • Data type: Text
  • Primary work type: Evaluation and rating

What You'll Do

You will apply your finance expertise to determine whether AI-generated analysis is accurate, relevant, and logically sound. Your feedback will help researchers identify model weaknesses and develop stronger finance-focused training and evaluation methods.

  • Evaluate AI model outputs on finance-related tasks
  • Identify gaps in model accuracy, reasoning, and performance
  • Develop rubrics and structured assessments for deal analysis
  • Assess outputs involving mergers and acquisitions, investment scenarios, and other finance domains
  • Collaborate with AI researchers on training strategies and evaluation methods
  • Help design benchmarks for finance-focused AI systems
  • Provide expert feedback to improve model performance in finance contexts

Requirements

This opportunity is intended for finance professionals with at least two years of relevant experience. No prior experience working with AI is required, and training will be provided.

  • At least 2 years of experience in investment banking, private equity, venture capital, FP&A, accounting, or financial consulting
  • Strong understanding of corporate finance and investment analysis
  • Strong understanding of asset management and risk management
  • Excellent written and verbal communication in English
  • Based in India and available to contribute 20+ hours per week

Preferred Background

Professional credentials and hands-on experience with complex financial analysis can be especially valuable for evaluating nuanced AI outputs.

  • CFA certification at any level
  • CA, CPA, or MBA in Finance
  • Experience with deal analysis
  • Experience assessing mergers and acquisitions
  • Experience working with investment scenarios

Why This Work Matters

Every major AI system depends on carefully prepared and reviewed examples. In this role, your finance expertise will directly influence how AI models analyze financial situations, communicate reasoning, and support finance-related work.

  • Shape the performance of emerging AI models
  • Apply specialized finance knowledge to practical AI evaluation
  • Work flexibly in a remote, part-time format
  • Grow your experience in AI training and model evaluation

Ready to apply?

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