Financial Systems & AI QA Specialist (Remote)

YO AI Labs

Kota Bandung

Remote

IDR 975,119,000 - 1,462,679,000

Full time

6 days ago
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Job summary

YO AI Labs is seeking a Financial Systems & Accounting Expert for a contract, remote, worldwide project focused on accounting operations, financial reporting, and ERP systems. You will evaluate AI-generated outputs and training data using your accounting judgment and expertise.

Required experience in AI training or human-data work; evaluate journal entries, reconciliations, and month-end close while providing actionable feedback to improve model accuracy.

Qualifications

  • Accounting knowledge across financial reporting and systems.
  • Experience with ERP and financial platforms is essential.
  • Strong journal entries and month-end close experience.

Responsibilities

  • Evaluate AI-generated accounting outputs for accuracy and journal entries.
  • Review financial statements, reconciliations, and close workpapers.
  • Identify misstatements and provide corrections with rationale.
  • Assess workflows across NetSuite, SAP, Oracle, QuickBooks, Xero, and Dynamics 365.
  • Apply rubrics to evaluate AI responses and create training scenarios.
  • Provide actionable feedback to improve model performance and accounting accuracy.
  • Support transaction recording through month-end close and reporting.

Skills

Accounting
Financial Reporting
Financial Systems
Microsoft Excel
Account Reconciliations
Journal Entries & Month-End Close
AI Training / Human Data Evaluation
3+ years experience
English communication

Tools

NetSuite
SAP
Oracle
QuickBooks
Xero
Dynamics 365
GSAP

Job description

YO AI Labs is seeking a Financial Systems & Accounting Expert for a contract, remote, worldwide project focused on accounting operations, financial reporting, and ERP systems. You will evaluate AI-generated outputs and training data using your accounting judgment and expertise.

Required experience in AI training or human-data work; evaluate journal entries, reconciliations, and month-end close while providing actionable feedback to improve model accuracy.

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