Remote Controllership Accountant - GAAP & Month-End Close

mercor

United States

Remote

Part time

12 days ago
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Job summary

Mercor connects elite creative and technical talent with leading AI research labs. Mercor seeks a Corporate / Controllership Accountant for a remote contract to own GL, month-end close, and financial statement prep, while validating GAAP compliance of AI outputs.

You will collaborate with researchers to improve model-driven close processes and provide precise feedback for training data quality. The role emphasizes accurate accounting, timely reporting, and independent work across a distributed

Qualifications

  • CPA, or 3–5+ years of corporate/in-house or firm accounting experience.
  • Hands-on ownership of the general ledger and period-end close.
  • Bachelor's degree in Accounting, Finance, or related field.
  • Comfortable with accounting tools like QuickBooks, NetSuite, SAP, Oracle, Excel.
  • Strong written communication and attention to detail.

Responsibilities

  • Design realistic scenarios from controllership work. Include financial statement preparation, journal entries, account and bank reconciliations, and month-end close.
  • Review and compare AI-generated accounting outputs for accuracy and GAAP compliance.
  • Provide clear written feedback to improve AI performance in close and reporting tasks.
  • Collaborate asynchronously with the research team to enhance model reasoning.
  • Work independently to ensure high-quality training data for AI models.

Skills

GAAP accounting
General ledger
Month-end close
Financial reporting
Attention to detail

Education

Bachelor's degree in Accounting, Finance, or related field

Tools

QuickBooks
NetSuite
SAP
Oracle
Excel

Job description

Mercor connects elite creative and technical talent with leading AI research labs. Mercor seeks a Corporate / Controllership Accountant for a remote contract to own GL, month-end close, and financial statement prep, while validating GAAP compliance of AI outputs.

You will collaborate with researchers to improve model-driven close processes and provide precise feedback for training data quality. The role emphasizes accurate accounting, timely reporting, and independent work across a distributed

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