Finance Expert
AI labs need finance work checked by people who have built the model and sat in the review. A model can lay out a DCF or a comps table that looks right and rests on a wrong assumption. Spotting it is the work.
This listing is a waitlist, not an open position. No project is attached to your application. Applying puts you in the network we draw from when a finance project opens, and nothing is expected from you afterward. We review applicants from time to time, check whether each profile fits the kind of projects we run, and reach out directly with the scope, hours and rate when there is a match. Timing depends on demand, so you may hear from us soon or only after a while, and we will not contact everyone on the list. You commit to nothing by applying.
Work varies by project. Depending on the project you might build case packages such as models, memos and decks in investment banking or corporate finance, review other practitioners' work, or evaluate AI output on valuation and analysis. Hours, scope and rate are set per project and sent to you in writing before you start.
On a project you write realistic finance tasks and the deliverable an experienced analyst or associate would produce, review other experts' work against an acceptance checklist, and evaluate AI answers for errors in logic, numbers and judgment. Reviewers check everything, and you are paid for approved work.
KEY RESPONSIBILITIES Write realistic finance tasks and the deliverables a practitioner would produce, such as valuation models, comps, merger analyses, credit memos and board-ready slides Review other experts' work against an acceptance checklist and explain what is wrong and why Evaluate AI-generated finance answers and correct errors in logic, numbers and judgment Document your assumptions so a colleague could follow the model Apply reviewer feedback and revise until the work is accepted Work from public or illustrative figures only, with no confidential deal information. IDEAL QUALIFICATIONS Hands-on experience in investment banking, corporate finance, private equity, equity research or a similar role Strong modeling skills in Excel Able to defend the assumptions behind a valuation Fluent written English. NICE TO HAVE Years of experience at a bank or fund A CFA, MBA or comparable credential Sector depth in industrials, healthcare, technology or financial institutions Experience building client-ready decks Fluency in another language Prior work on an AI training or data platform. WHAT SUCCESS LOOKS LIKE You receive a short confirmation after you apply and have nothing further to do When a project matches your background we contact you with the scope, hours and rate You decide whether to take it, with no obligation either way Work you do is reviewed and you are paid for approved work.
