Remote Financial Analyst for AI Data Validation

Alignerr Corp.

Seattle (WA)

À distance

USD 41 000 - 83 000

Plein temps

Il y a 23 heures
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Résumé du poste

Alignerr Corp. seeks Financial Analysts to review real financial statements, validate key metrics, and deliver concise, structured insights for AI training.

This is a fully remote, hourly contract with flexible hours and independent task-based assignments; no AI background required, just solid financial analysis and attention to accuracy.

You will help ensure AI systems interpreting money and performance are reliable by cross-checking data and narratives with quantitative results.

Qualifications

  • Experienced in financial analysis, accounting, or corporate finance.
  • Confident with spreadsheets and structured financial data.
  • Able to communicate complex financial information clearly.
  • Detail-oriented and systematic with numbers.
  • Self-motivated and reliable when working independently.
  • No prior AI or tech experience required.

Responsabilités

  • Review and analyze company-level financial statements and datasets.
  • Validate key financial metrics, ratios, and performance trends.
  • Cross-reference narrative disclosures with underlying quantitative data.
  • Summarize financial insights in clear, concise written form.
  • Support recurring evaluation cycles with consistent, high-quality analysis.
  • Complete task-based assignments independently on your own schedule.

Connaissances

Financial analysis
Accounting
Corporate finance
Spreadsheets
Communication
Detail-oriented
Independent work
No AI background required

Description du poste

Alignerr Corp. seeks Financial Analysts to review real financial statements, validate key metrics, and deliver concise, structured insights for AI training.

This is a fully remote, hourly contract with flexible hours and independent task-based assignments; no AI background required, just solid financial analysis and attention to accuracy.

You will help ensure AI systems interpreting money and performance are reliable by cross-checking data and narratives with quantitative results.

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