What the work involves
You write finance problems that look like the ones crossing your desk — a three-statement model with a circular interest calculation, a lease classification under ASC 842, a covenant compliance check, a purchase price allocation, a DCF where the terminal growth assumption quietly does all the work. Then you either produce the reference answer yourself or grade what a model produced against it. The valuable part is rarely the final number; it's the chain of assumptions underneath. Tasks typically arrive in batches with a rubric, and you submit written rationales alongside your scores.
The error class that matters most here is the plausible one. Models produce output that is fluently formatted, correctly labeled, and wrong in the third step — a mid-year convention skipped, working capital double-counted in both the cash flow bridge and the terminal value, a tax rate applied to the wrong base, guidance that is technically accurate under IFRS and wrong under US GAAP. Flagging that requires you to actually rebuild the calculation, not skim it.
What the platform screens for
- Verifiable practice, not coursework. Four-plus years hands-on in finance or accounting, and screeners follow up on specifics: deal sizes, which standards you applied, what systems you worked in.
- Reasoning you can write down. A grade with no explanation is unusable to the people training the model. Expect to justify why an answer is wrong and what the correct path was.
- Calibration. Whether you can separate a genuine error from a defensible alternative assumption, and whether you apply the rubric rather than your personal house style.
- Specialization depth. Rates skew toward the top of the band for credentialed or niche depth — CPA, CFA, structured credit, tax provision, FP&A at scale, valuation.
Logistics
Fully remote, fully asynchronous, 1099 contractor. You claim work from a queue; there are no standing meetings and no minimum commitment, though contributors who take steady weekly volume tend to get first access to higher-paying specialized batches. Most people treat it as evenings-and-weekends work alongside a day job. US work authorization without sponsorship is required. The project is described as ongoing with continuing volume rather than a one-off engagement, but volume fluctuates batch to batch.