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[Remote] Finance Analyst for LLM Model Training

Remote role Full-time Open position

Note: The job is a remote job and is open to candidates in USA. DeepLLMData specializes in providing expert human-annotated data for large language model (LLM) training and development. They are seeking a Finance Analyst to design, develop, and evaluate high-quality prompts for LLMs using real-world financial data and documents, blending financial expertise with AI prompt engineering.

Responsibilities

  • Design, develop, and evaluate high-quality prompts for Large Language Models (LLMs) using real-world financial data and documents
  • Create finance-specific prompts using structured and unstructured financial data such as financial statements, annual reports, equity research reports, investment memos, and audit reports
  • Simulate real-world financial analysis scenarios and test and validate prompts across leading LLMs
  • Evaluate model responses for financial accuracy and numerical correctness, logical reasoning and assumptions, compliance with accounting standards, and clarity for different stakeholders
  • Develop 'Golden Responses' that serve as benchmarks for model training and evaluation

Skills

  • 3–10 years of experience in Finance / Accounting / Investment Analysis. Previous experience is important. Experience in Investment Banking, Equity Valuation, Private Equity Investing, Corporate Banking
  • Strong understanding of: Financial statements and reporting, Corporate finance and valuation techniques (DCF, comparables, etc.), Financial modeling and analysis
  • Bachelor's degree in Finance, Accounting, Economics, or a related field (Master's preferred)
  • Ability to adapt to a fast-paced, innovative environment
  • Master's degree in Finance, Accounting, Economics, or a related field

Company Overview

  • Power Your Frontier Models with Expert Human Data: - Coding SFT, RLHF - STEM, PhD, Maths, Domain specific experts - Image and Video Annotators - Image and Video Data Provisioning It was founded in 2020, and is headquartered in San Jose, CA, US, with a workforce of 201-500 employees. Its website is https://www.deepllmdata.com.
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