Corporate Finance & Financial Modeling Expert

About the Role

Location: Remote - US/Canada preferred; UK and Latin America also considered Pay: $60-120/hr. Paid per task Time commitment: 10+ hours/week required; 20+ preferred. Time per task: Approximately 3 hours, following approximately 15 hours of initial environment development. Estimates include agent execution time. Your tasks: Build realistic finance work environments and use AI agents to create professional deliverables, task instructions, and objective evaluation criteria. micro1 is engaging experienced finance professionals to help build tasks that measure how effectively AI systems can perform complex professional work. You’ll turn real finance workflows into realistic scenarios, supporting files, and deliverables. Hands-on experience with agentic AI tools is required: you’ll work with agents to develop the materials and independently verify their quality. How the selection process works • Apply and complete the screening questions. • Complete the AI interview — this is how we showcase your expertise to the client. • Profile review. • Onboarding — our Talent Ops team will get you set up.

Responsibilities & Tasks

• Build realistic finance environments containing business context, financial data, reference documents, and working files.
• Design multi-step tasks involving FP&A, corporate finance, valuation, forecasting, and financial modeling.
• Use agentic AI tools to develop models, analyses, and supporting deliverables.

Qualifications & Requirements

• 5+ years of professional experience in FP&A, corporate finance, valuation, or financial modeling.
• Direct ownership of substantive financial models, analyses, and business deliverables.
• Hands-on experience using agentic AI tools such as Claude Code, Cursor, Codex, or Claude Cowork for substantive work. General chatbot use alone is insufficient.
• Experience at a leading bank, private equity firm, or Fortune 500 corporate development or finance team.
• Transaction-related financial analysis experience.
• Experience developing review standards, training junior professionals, or writing internal playbooks.
• Prior benchmark development or AI evaluation experience.
• Availability for 20+ hours per week.