Freelance Finance Expert

What you'll work on

• Apply hands-on finance modeling and markets expertise — valuation, M&A, LBO, credit, FP&A, or quantitative analysis — to create and evaluate complex AI prompts and responses.
• Conceptualize and draft prompts backed by primary source documents (10-Ks, 10-Qs, earnings releases, credit/merger agreements, loan tapes, CSVs), then review AI outputs for quality and accuracy.
• Identify gaps, ambiguities, and edge cases in model reasoning across valuation, deal analysis, debt/LBO schedules, diluted share-count calculations, credit and covenant analysis, and quantitative/Python scenarios.
• Closely follow guidelines and quality-check your own work for errors.
• Work closely with program managers to align on quality standards and desired data content.
• Ensure outputs are logically sound, well-structured, and aligned with expert-level expectations.

Project details

• Location: Remote (United States-based)
• Engagement type: Freelance / Independent Contractor, through Uber AI Solutions.
• Engagement commitment: Participation welcomed any day the project is live. Tasks will require ~7 hours of effort to complete.
• Engagement duration: ASAP - August 2, 2026
• Pay rate: Starting at $120/hr

Who we're looking for

• Bachelor's or Master's degree in Finance, Economics, Business, or a related quantitative field.
• 5+ years of hands-on, demonstrated finance experience in investment banking, private equity, equity/credit research, corporate development, financial modeling, capital markets, or quantitative finance — with a track record of building models and deriving figures from primary source documents, not solely reporting, reconciliation, or accounting work.
• Valid CFA or FRM, CA, or CPD.
• Demonstrated ability to read primary source documents (10-Ks, 10-Qs, credit/merger agreements) and perform multi-step calculations from them.
• Comfortable working independently on detail-oriented tasks to a documented methodology.
• Strong analytical and written communication skills.
• Prior experience with GenAI/LLM evaluation — prompt engineering, rubric or golden-answer authoring, annotation, RLHF, red-teaming, or model QA — is a strong differentiator.

Why this matters

Your expertise will help improve how AI systems handle complex financial reasoning — valuation, deal analysis, credit, and quantitative work — making outputs more accurate, reliable, and better aligned with real-world financial analysis. By improving how AI models evaluate and present information, your work helps advance responsible AI development and real-world AI performance.