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Posted Apr 12, 2026

Finance Analyst for LLM Model Training

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DeepLLMData specializes in providing expert human-annotated data for large language model (LLM) training and development. The company offers services such as supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF), and data provisioning for domains requiring STEM expertise, mathematics, and other specialized fields. Role Description This is a Freelancing role for Finance Professionals with CFA or CPA background to design, develop, and evaluate high-quality prompts for Large Language Models (LLMs) using real-world financial data and documents. This role blends deep financial expertise with AI prompt engineering and response validation. Project involves creating finance-specific prompts using structured and unstructured financial data such as: • Financial statements (P&L, Balance Sheet, Cash Flow) • Annual reports (10-K, 10-Q) • Equity research reports • Investment memos and valuation models • Audit reports and compliance documents • Design prompts that 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 (GAAP/IFRS), Clarity and usability for different stakeholders • Develop “Golden Responses” (ideal outputs) that serve as benchmarks for model training and evaluation. Required Skills & Qualifications • 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 Nature Freelancing work. Expected 6 hours for the duration of project.