Finance Domain Expert at Turing

Finance Domain Expert (LLM Trainer) | Contractor | Worldwide Remote

Turing is seeking a Finance Domain Expert to train and evaluate large language models (LLMs) on finance and accounting tasks. This short-term contract role is ideal for finance professionals with hands-on experience in tools like NetSuite, QuickBooks, Bill.com, and Concur who want to shape the future of AI in financial operations.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps enterprises transform AI from proof of concept into proprietary intelligence that delivers measurable business impact.

Key Responsibilities

• Review and evaluate AI-generated finance and accounting responses for accuracy, logic, completeness, and clarity.
• Create prompts, scenarios, and evaluation criteria for finance-related LLM training.
• Identify errors in AI outputs and provide structured corrections and feedback.
• Assess tasks involving journal entries, reconciliations, accounts payable, expense reports, payments, and financial statements.
• Review workflows in NetSuite, QuickBooks or Xero, Bill.com, and Concur or Expensify.
• Validate finance training data through annotation, labeling, and quality checks.
• Document common model errors and recommend improvements.
• Collaborate with AI, data, product, and finance teams to improve model performance.

Required Qualifications

• Bachelor's degree in Finance, Accounting, Business, Economics, or a related field.
• 2+ years of experience in finance, accounting, bookkeeping, FP&A, accounts payable, or related financial operations.
• Hands-on experience with NetSuite.
• Experience with QuickBooks or Xero.
• Experience with Bill.com for AP or vendor payment workflows.
• Experience with Concur or Expensify for expense reporting and reimbursements.
• Strong understanding of financial statements, general ledger accounting, reconciliations, accruals, and expense classification.
• Prior experience reviewing or creating AI training data, prompts, annotations, or model evaluations is a plus.

Engagement Details

• Type: Contractor
• Duration: 4 weeks
• Commitment: Minimum 30 hours/week (at least 4 hours/day with 4-hour overlap with PST)

Evaluation Process

1. Shortlisted candidates will receive a Job Interest Form.
2. An assessment will be shared and must be completed within 48 hours.
3. Successful candidates will be contacted to discuss pre-onboarding requirements.