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Remote M&A Associate - AI Trainer ($50-$60 per hour)Data Annotation • Lake Stevens, Washington, United States
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Remote M&A Associate - AI Trainer ($50-$60 per hour)

Data Annotation
  • US
    Lake Stevens, Washington, United States
  • US
    Lake Stevens, Washington, United States
Postuler Maintenant

À propos

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.

  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when

  • You work on your own schedule, on your own computer, from the comfort of your own home

  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs

  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)

  • Detail-oriented

  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management

  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note:

  • Lake Stevens, Washington, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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