Finance Analyst for LLM Model Training
Posted 2026-05-06DeepLLMData 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.