Finance Expert — AI Model Evaluation Contract

Remote · £70–90/h

Role Overview

Huzzle is seeking finance professionals to test how well frontier AI systems handle real financial work, and to document where they fall short.

You will not be performing financial analysis. You will be finding the point at which an AI system stops being reliable at it, and proving that point objectively.

Each piece of work you submit has three parts: a realistic financial request, documented evidence of where the model failed it, and a scoring rubric that lets any reviewer grade a future attempt consistently.

Full training and worked examples are provided. Prior AI or data-annotation experience is preferred.

Key Responsibilities

• Test financial requests against a frontier AI model and examine its output with the scrutiny you would apply to work you were signing off.
• Document exactly where and how it failed, with the cell reference, figure or omission that demonstrates it. Precision matters more than volume.
• Author scoring rubrics with sourced, objective criteria that another reviewer could apply without repeating your research.
• Write the underlying requests: realistic financial tasks requiring live research against public sources, multi-step calculation, and an actual file deliverable — typically an Excel workbook, but also memos, PDFs, decks or CSVs.
• Escalate task difficulty where the model succeeds, until a genuine gap is exposed.