Finance AI Auditor: Validate Models & Defensible Analysis

DataAnnotation

Perry (GA)

Remote

USD 55,000 - 172,000

Full time

41 hours ago
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Benefits offered by this job

Flexible schedule
Remote work
Project-based work

Job summary

DataAnnotation is seeking a Finance Expert to evaluate AI-built analyses, verify three-statement linkages, and ensure the accounting under them is solid. You’ll identify where models misstate working capital and valuation assumptions, and you’ll articulate judgments that guide model improvements.

This role rewards clear English explanations and strong financial fundamentals. You’ll work on remote projects with flexible hours, contributing to real corporate scenarios and potentially earning

Qualifications

  • Professional experience in corporate finance, FP&A, or strategic finance.
  • Fluency with modeling: three-statement builds, DCF, and the accounting behind them.
  • Clear written English: your explanations are the training signal.
  • No degree required. We care about what you can do, not where you learned it.

Responsibilities

  • Stress-test AI-built models on real corporate scenarios: three-statement linkages, DCF assumptions, and the working-capital logic underneath.
  • Trace the reasoning to expose plugged numbers, broken drivers, and conclusions the model's own math doesn't support.
  • Write the defensible analysis when the model falls short: honest assumptions, clear drivers, and a number you'd put in front of a CFO.

Skills

stress-test AI-built models
trace the reasoning
write defensible analysis
modeling fluency

Job description

DataAnnotation is seeking a Finance Expert to evaluate AI-built analyses, verify three-statement linkages, and ensure the accounting under them is solid. You’ll identify where models misstate working capital and valuation assumptions, and you’ll articulate judgments that guide model improvements.

This role rewards clear English explanations and strong financial fundamentals. You’ll work on remote projects with flexible hours, contributing to real corporate scenarios and potentially earning

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