Remote AI Finance Quality Assurance Manager

Synthires; United States; Remote; USD 96,000 - 152,000; Full time

Benefits offered by this job

Remote work

Project-based work

Job summary

Synthires is seeking experienced Financial Managers and finance leaders to contribute to advanced AI research and evaluation projects from a remote setting in the United States. You will apply practical financial management judgment to evaluate AI-generated plans, budgets, forecasts, and financial deliverables for accuracy and soundness.

The role emphasizes identifying risks, ensuring regulatory compliance, and delivering clear, actionable feedback for improving AI outputs.

Qualifications

• 4+ years of professional experience in financial management roles.
• Strong analytical and critical-thinking skills with attention to detail.
• Ability to commit 20+ hours per week.
• Experience overseeing accounting, banking, credit, insurance, securities, or financial planning activities.

Responsibilities

• Evaluate AI-generated financial plans, budgets, forecasts and deliverables for accuracy and relevance.
• Compare AI outputs based on financial soundness, regulatory considerations, analytical rigor and business judgment.
• Review scenarios involving cash flow management, budgeting, pricing, financial reporting, and planning.
• Identify errors, inconsistencies, missing assumptions and potential risks in AI-generated outputs.
• Provide structured feedback to improve quality and reliability of AI-generated financial content.
• Apply professional financial judgment to realistic management and decision-making scenarios.

Skills

Financial management

Analytical thinking

Remote work readiness

20+ hours/week

Job description

Synthires is seeking experienced Financial Managers and finance leaders to contribute to advanced AI research and evaluation projects from a remote setting in the United States. You will apply practical financial management judgment to evaluate AI-generated plans, budgets, forecasts, and financial deliverables for accuracy and soundness.

The role emphasizes identifying risks, ensuring regulatory compliance, and delivering clear, actionable feedback for improving AI outputs.