Corporate Finance & Financial Modeling Expert

$60–120/hr

rate as listed

Workload: 10+ hrs/week
Engagement: Project-based
Location: Worldwide
Field: Finance

Build realistic corporate finance environments and use agentic AI tools to produce and assess models, analyses, and supporting deliverables. The contract is remote, task-based work for finance professionals with at least five years of relevant experience and direct ownership of substantive financial models.

The work

You will translate real FP&A, corporate finance, valuation, forecasting, and financial modeling workflows into realistic AI evaluation tasks. Day-to-day work includes creating business context, financial data, reference documents, working files, task instructions, professional deliverables, and objective evaluation criteria. You will use agentic AI tools to develop materials, then independently inspect the outputs for financial accuracy, internal consistency, and usability.

What the screening examines

The AI interview is likely to test whether you have personally owned substantive finance work and can explain specific models under follow-up. Expect questions about model architecture, assumptions, valuation methods, forecasting logic, quality controls, and how you would distinguish a polished-looking output from a financially correct one. You should also be ready to describe substantive work completed with tools such as Claude Code, Cursor, Codex, or Claude Cowork, since general chatbot use does not meet the stated requirement.

Practical details

This is a remote contractor role, with candidates in the US and Canada preferred and candidates in the UK and Latin America also considered. At least 10 hours per week is required, and availability for 20 or more hours is preferred. Initial environment development is estimated at approximately 15 hours, while subsequent tasks are estimated at approximately three hours each, including agent execution time. Work is paid per task.

Pay band: $60–120/hr

What they look for

CPA
AI Agents

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your experience involved genuine ownership of model logic and business conclusions rather than reviewing or formatting someone else's work.
A strong answer: Anchor the example in a specific business decision, identify the model components you built, explain the source data and major assumptions, and state how the deliverable was used. Clearly separate your own work from contributions made by colleagues.
Where people lose it: Candidates lose points by naming a large transaction or planning process without explaining which schedules, calculations, assumptions, or outputs they personally owned.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

FINANCE on Sidequest

What finance AI work pays

Rates by specialty, the platforms hiring, and every open role in this field.