Controllership Accountant: AI Training & Close Expert

Mercor; New York (NY); Remote; USD 80,000 - 110,000; Full time

Job summary

Mercor is partnering with a leading AI lab to train models on real corporate accounting processes. The role focuses on translating day-to-day accounting activities into high-quality data for AI reasoning, covering financial reporting, month-end close, and core accounting operations.

You will design realistic controllership scenarios, review AI outputs for accuracy and GAAP compliance, and provide written guidance to improve AI performance, while collaborating asynchronously with the research

Qualifications

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

Responsibilities

• Design realistic scenarios from controllership work — financial statement preparation, journal entries, account & bank reconciliations, month-end / period-end close, fixed-asset & depreciation schedules, accruals and prepaids
• Review and compare AI-generated accounting outputs for accuracy, GAAP compliance, and sound professional judgment
• Provide clear written feedback that improves how AI performs close and reporting tasks
• Collaborate asynchronously with the research team

Skills

General ledger ownership

Attention to detail

Written communication

Education

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

Tools

QuickBooks

NetSuite

SAP

Oracle

Excel

Job description

Mercor is partnering with a leading AI lab to train models on real corporate accounting processes. The role focuses on translating day-to-day accounting activities into high-quality data for AI reasoning, covering financial reporting, month-end close, and core accounting operations.

You will design realistic controllership scenarios, review AI outputs for accuracy and GAAP compliance, and provide written guidance to improve AI performance, while collaborating asynchronously with the research