Arithmetic integrity
Does the model foot, cross-foot, and keep circularities intentional?
Financial data annotation
Financial Data Annotation and AI Evaluation
Finance AI fails in ways that look numerically tidy. A model can produce a formatted LBO, a clean variance bridge, or a fluent equity note and still be wrong in a way only a practitioner notices.
We are not a freelancer marketplace or traditional staffing company.
What is financial data annotation
Financial data annotation is professional review or labeling of models, memos, filings, and related artifacts so an AI system can be trained or evaluated against a finance-practitioner standard. Fluent numbers are not enough; the work asks whether the answer would survive an internal review.
Why finance AI needs professional reviewers
Subtle numerical and domain errors often appear plausible to non-experts. A cash-flow item can be counted twice. A non-recurring item can be treated as run-rate. A comparable set can be silently biased. A covenant definition can be quoted from the wrong document. The spreadsheet still calculates. The narrative still reads like research.
General annotators score whether the answer looks like finance. Finance professionals score whether the answer would survive an internal review meeting.
Professionals that may be sourced
Example profiles include investment bankers, private equity professionals, financial analysts, accountants, CPAs, equity research professionals, and risk professionals. Profiles are assembled against the brief.
Example work
- Financial modeling evaluation
- Spreadsheet reasoning
- Valuation review
- M&A analysis
- Accounting analysis
- Investment research quality
- Document analysis
- Financial agents
- Benchmark creation
What finance evaluation should inspect
Accounting meaning
Are classifications and adjustments consistent with the stated standard?
Investment logic
Do the conclusions follow from the numbers, or were the numbers dressed around a story?
Frequently asked questions
- Do you publish market rates for bankers or CPAs?
- No. Scarcity, seniority, and task time dominate price. See the cost factors on the outsourcing page.
- Can analysts without deal experience score LBO tasks?
- Only if the brief says so. If the product is judged by former bankers, the evaluators should be able to apply that standard.
- What about material nonpublic information?
- Do not send MNPI or live deal data unless a contract and environment have been designed for it. Prefer synthetic or already-public materials for pilots.
Request finance expert capacity
Share the profession, specialty, experience, location, headcount, hours, duration, and project description. We assemble the expert capacity.
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