Forensic Accountants: $70-$170/hr from Frontier AI Labs

Open application· 29 spots this round

$70-$170/hr forensic accounting and investigation work, on your schedule

Review AI-generated fraud analysis, investigative findings, and financial forensics the way you'd review an examiner's report. Flag the explained-away anomaly, the missing audit trail, the pattern that screams fraud. The instinct that follows the money where it actually went is what AI labs need.

Fully remoteYour scheduleWeekly pay

Apply nowApply once, get matched on a rolling basis. No prior AI experience needed.

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Hi, we're Zac and Jack, the founders of Terac. We want to talk to you directly, because you are the most important part of what we're building.

Terac is a community of experts. People who have spent years getting good at something specific and hard. The world is about to need more of you, not less. As AI takes on more of the world's work, the bottleneck shifts to the people who actually know what they're talking about.

Expert labor is the rarest resource in the world right now, and it is shockingly hard to find. The companies that need a forensic accountant's eye on a transaction that doesn't add up spend weeks chasing people, paying placement fees, and settling for whoever is available. Meanwhile thousands of qualified people are sitting with knowledge that no one ever asks for.

That gap is what we're here to close. Every project that lands on Terac is routed to the people who actually know the answer, on their schedule, paid fairly, and only when the work is verified. No middleman taking a cut of your time. No vague gigs. No chasing checks.

We care about every single person in this community. If you join Terac, you're not a row in a database to us. We read the feedback. We answer the emails. We will fight for you when a customer is being unreasonable, and we will be honest with you when something on our side is broken. The quality of this panel is our entire company, and we owe you a serious bar.

If you've made it this far, here is what we're asking: claim your profile. Put your expertise on the record. Let the world's most ambitious teams come find you for the work only you can do.

Zac & Jack

Founders

Forensic Accounting questions

Still curious? Write to us at support@terac.com.

Your Certified Fraud Examiner credential qualifies on its own. Terac evaluates demand by subject-matter expertise, so CFEs, CFFs, CIRAs, and CVAs are all in scope depending on the task. If a session involves audit or attest concepts that sit squarely within CPA scope-of-practice, we will route those to credentialed CPAs, but fraud examination, asset tracing, and financial statement manipulation analysis are open to CFEs regardless of CPA licensure.

Insurance fraud and SIU work is a distinct sub-specialty that AI developers actively want to improve coverage on, precisely because the document types (claim files, EOBs, adjuster notes) and investigative logic differ from corporate fraud or bankruptcy work. You would review AI-generated analyses of staged-loss scenarios, healthcare billing anomalies, or workers-compensation fraud indicators, flagging reasoning errors or missing red flags that a generalist model is unlikely to catch.

No. The work involves evaluating AI-generated content for accuracy and reasoning quality, not forming or signing off on opinions in any legal proceeding. You are acting as a subject-matter evaluator, not an expert witness, so AICPA independence requirements and Daubert reliability standards that govern actual testimony do not apply to what you produce on Terac.

Tasks typically involve synthetic or sanitized versions of materials common to the field: general ledger extracts, bank reconciliations, chart-of-accounts structures, journal entry populations, intercompany transaction schedules, and occasionally cash-flow models used in damages analysis. You will assess whether an AI correctly applies concepts like Benford's Law analysis, round-number testing, or the identification of related-party transactions, rather than reviewing real client files.

Sessions are tool-agnostic. You evaluate the analytical reasoning and conclusions in AI-generated outputs, not execute queries yourself, so your background with IDEA or Alteryx is exactly the kind of practitioner knowledge that helps you spot whether a model's described approach to exception testing or duplicate-payment detection is methodologically sound. Familiarity with any major forensic data-analytics platform transfers directly to this work.

Why your expertise matters

Forensic accounting sits at the intersection of financial fraud, litigation, and regulatory enforcement - domains where AI errors carry real legal and financial consequences. Models trained without genuine forensic accountant input tend to misread transaction layering schemes, conflate legitimate intercompany transfers with fraud indicators, and miss the chain-of-custody reasoning that makes findings admissible in court. Your judgment about what constitutes sufficient documentation, what patterns warrant deeper inquiry under GAAS or AICPA FVS standards, and how to reconstruct records from fragmented data is exactly what separates usable AI output from output that would collapse under cross-examination.

How pay works

Pay toward the top of the $70-$170/hr band reflects depth of specialization: practitioners with active CFE credentials, CPA licensure combined with litigation support experience, or backgrounds in Big Four forensic practices or federal law enforcement (FBI, IRS CI, FinCEN-adjacent work) typically qualify for higher rates. All work is fully remote, logged by the hour, and released only after Terac verifies your deliverable meets the task spec - no payment is held arbitrarily, but incomplete or unverifiable submissions are not compensated.

What the work looks like

A sample of the forensic accounting and investigation work you would pick up. Every project is scoped, remote, and paid on verified completion.

Review an AI-generated fraud risk assessment for a mid-size manufacturer and flag any misclassified transactions, unsupported inferences, or conclusions that would not survive Daubert scrutiny.
Evaluate a model-produced narrative explaining a layered wire transfer scheme and correct errors in the description of how correspondent banking and shell entity structures are typically used to obscure beneficial ownership.
Create a worked example that walks through a complete bank statement reconstruction from fragmented records, annotating each inferential step the way you would in an actual engagement workpaper.
Assess whether an AI response to a hypothetical FCPA scenario correctly applies the accounting provisions of the Act versus conflating them with the bribery provisions, and rewrite any sections that blend the two.
Score a set of AI-generated interrogatory questions for a securities fraud matter on relevance, precision, and whether they would actually surface the financial documentation needed to establish scienter.
Draft a reference example showing how to calculate lost profits damages under the before-and-after method, including the assumptions that must be disclosed and the sources courts have accepted as reliable.