In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Accounting proficiency is the primary focus, along with the ability to identify issues in the financial systems you work in and document them clearly. Prior paid experience with human data activities for AI models — data labeling, annotation, RLHF, AI response evaluation, model evaluation, or rubric-based grading — is a plus, but not required. This is an opportunity to apply your accounting judgment alongside hands-on ERP and financial systems knowledge, covering processes from transaction capture to month-end close and financial reporting.

• Evaluate AI-generated accounting output for technical accuracy, including treatments, calculations, journal entries, and explanations, in line with established accounting standards.
• Review, analyze, and annotate financial statements, reconciliations, and close workpapers, identifying misstatements and providing correct treatments with rationale.
• Assess accounting workflows and financial systems logic across platforms such as NetSuite, SAP, Oracle, QuickBooks, Xero, and Dynamics 365.
• Consistently apply written rubrics and grading guidelines when rating or ranking model output, flagging ambiguous cases as needed.
• Contribute real-world accounting scenarios and reference answers that reflect actual practices in modern financial systems.
• Deliver clear, actionable written feedback to project and model teams to support ongoing system improvement.

Work arrangement: Fully remote