[Remote] Finance Analyst for LLM Model Training

Remote Full-time
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.ResponsibilitiesDesign, develop, and evaluate high-quality prompts for Large Language Models (LLMs) using real-world financial data and documentsCreate finance-specific prompts using structured and unstructured financial data such as financial statements, annual reports, equity research reports, investment memos, and audit reportsSimulate real-world financial analysis scenarios and test and validate prompts across leading LLMsEvaluate model responses for financial accuracy and numerical correctness, logical reasoning and assumptions, compliance with accounting standards, and clarity for different stakeholdersDevelop 'Golden Responses' that serve as benchmarks for model training and evaluationSkills3–10 years of experience in Finance / Accounting / Investment Analysis. Previous experience is important. Experience in Investment Banking, Equity Valuation, Private Equity Investing, Corporate BankingStrong understanding of: Financial statements and reporting, Corporate finance and valuation techniques (DCF, comparables, etc.), Financial modeling and analysisBachelor's degree in Finance, Accounting, Economics, or a related field (Master's preferred)Ability to adapt to a fast-paced, innovative environmentMaster's degree in Finance, Accounting, Economics, or a related fieldCompany OverviewPower 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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