Finance Expert - Remote

YO AI Labs

Toronto

Remote

CAD 117,000 - 253,000

Part time

11 days ago
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Job summary

YO AI Labs seeks a Financial Systems & Accounting Expert for a remote, worldwide contractor role. You will evaluate AI-generated accounting outputs, review financial statements, and ensure accuracy across ERP platforms such as NetSuite, SAP, Oracle, QuickBooks, Xero, and Dynamics 365.

Preferred candidates have hands-on accounting experience, proficiency in Excel, and prior AI training or data evaluation work.

Qualifications

  • Proven experience in financial accounting, reporting, and ERP systems.
  • Experience with AI training, data annotation, or rubric-based evaluation is required.
  • Strong proficiency in Excel and financial statement analysis.

Responsibilities

  • Evaluate AI-generated accounting outputs for accuracy and treatment.
  • Review and annotate financial statements, reconciliations, and month-end workpapers.
  • Identify errors, misstatements, and provide corrections with rationale.
  • Assess workflows and financial system logic across NetSuite, SAP, Oracle, QuickBooks, Xero, and Dynamics 365.
  • Apply rubrics to evaluate, rank, and grade AI outputs.
  • Create realistic accounting scenarios for AI training and reference answers.
  • Provide actionable feedback to improve model performance and accounting accuracy.
  • Support processes from transaction recording through month-end close and reporting.

Skills

Accounting
Financial Reporting
Financial Systems
NetSuite
GSAP
QuickBooks
Microsoft Excel
Account Reconciliations
Journal Entries & Month-End Close
AI Training / Human Data Evaluation

Tools

NetSuite
SAP
Oracle
QuickBooks
Xero
Dynamics 365
Workday

Job description

Financial Systems & Accounting Expert

Role Type: Contractor
Location: Remote, Worldwide
Schedule: Flexible

Role Overview

micro1 is engaging Financial Systems & Accounting Experts to support a customer project focused on accounting operations, financial reporting, and ERP systems. You'll apply your accounting judgment and financial systems expertise to evaluate and improve AI-generated outputs and training data.

Prior experience in AI training or human-data work is required. Simply using AI features within accounting software does not qualify.

Scope of Work
  • Evaluate AI-generated accounting outputs for accuracy, calculations, journal entries, and accounting treatments.
  • Review and annotate financial statements, reconciliations, journal entries, and month-end close workpapers.
  • Identify accounting errors, misstatements, and inconsistencies and provide appropriate corrections with clear rationale.
  • Assess accounting workflows and financial systems logic across platforms such as NetSuite, SAP, Oracle, QuickBooks, Xero, and Dynamics 365.
  • Apply written rubrics to evaluate, rank, and grade AI-generated responses.
  • Create realistic accounting scenarios, examples, and reference answers for AI training.
  • Provide clear, actionable feedback to improve model performance and accounting accuracy.
  • Support financial processes from transaction recording through month-end close and financial reporting.
Required Skills
  • Accounting
  • Financial Reporting
  • Financial Systems
  • NetSuite
  • GSAP
  • QuickBooks
  • Microsoft Excel
  • Account Reconciliations
  • Journal Entries & Month-End Close
  • AI Training / Human Data Evaluation
Preferred Qualifications
  • 3+ years of hands‑on experience in financial accounting, corporate accounting, audit, bookkeeping, financial reporting, management accounting, cost accounting, or FP&A with substantial accounting responsibilities.
  • Proven experience preparing or reviewing journal entries, reconciliations, and financial statements.
  • Hands‑on experience with NetSuite, SAP, Oracle, QuickBooks, Xero, Sage Intacct, Dynamics 365, Workday, or comparable financial systems.
  • Strong proficiency in Microsoft Excel.
  • Familiarity with tools such as BlackLine, Bill.com, Ramp, Brex, Stripe, Avalara, Anaplan, Tableau, or Power BI is a plus.
  • Prior paid experience in AI training, data annotation, labeling, RLHF, AI response evaluation, model evaluation, or rubric‑based grading is required.
  • Strong written and verbal English communication skills (B2 level or above).
  • Ability to work independently and meet project quality standards and deadlines.
  • Reliable internet connection and immediate availability.
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