$55-$140/hr audit and assurance work, on your schedule
Review AI-generated audit procedures, testing, and findings the way you'd review a staff auditor's workpapers. Flag the control that's a paper tiger, the sample that proves nothing, the risk the program missed. Professional skepticism - knowing where the numbers usually go wrong - is what AI labs need.
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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 an auditor's eye on a control that doesn't actually work 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.
Audit questions
Still curious? Write to us at support@terac.com.
Narrow specializations are often the most valuable. AI models struggle most with the nuanced judgment calls inside specific frameworks like PCAOB AS 2201, COSO 2013, or ITGC scoping under SOX, so your concentrated expertise is exactly what is needed to surface errors a generalist would miss. Specialists in areas like revenue recognition under ASC 606, lease accounting under ASC 842, or ESG assurance are actively in demand.
The work involves evaluating AI-generated audit procedures, workpaper narratives, and risk assessments as an educator and reviewer, not issuing opinions or attestations on real client engagements. Because no actual client relationship or attest service is involved, the tasks do not trigger independence requirements under ET Section 1.200 of the AICPA Code of Professional Conduct, but you should apply your own professional judgment and consult your firm's policies if you have any doubt.
Tasks typically include reviewing AI-drafted risk and control matrices, evaluating the sufficiency of sample-selection rationale, critiquing audit program steps for a given assertion, and assessing whether a proposed workpaper memo supports the conclusion it claims. You may also create worked examples that demonstrate how an experienced auditor documents professional skepticism or escalates a potential misstatement through a memo-to-file.
Yes, internal audit credentials and experience are fully in scope. AI training work covers the full audit spectrum, including IIA Standards-based engagements, operational and IT audits, and enterprise risk management reviews, not just external financial statement audits. Holders of the CIA, CISA, CRMA, or CFE who work in corporate internal audit, consulting, or government audit (including GAO Yellow Book engagements) are all eligible.
Both types of tasks appear. Some prompts give you a scenario with a specified framework and ask you to judge whether the AI applied it correctly, while others present a factual situation and ask you to identify which standard governs and whether the AI-generated response reflects it accurately. Comfort reading across PCAOB, GAAS, ISA, and IIA Standards is helpful, though most tasks will specify the applicable framework upfront.
Why your expertise matters
Audit professionals carry a form of judgment that AI models struggle to replicate: the trained skepticism to spot when a control looks designed rather than operating, when a workpaper supports a conclusion it does not actually support, and when management representations contradict the underlying evidence. Frontier models are increasingly used to draft audit programs, summarize findings, and flag risk indicators, but they need expert review to calibrate the difference between a design deficiency and an operating failure, or between a material weakness and a significant deficiency. Your ability to read a set of financials or a SOC 2 Type II report and immediately identify what is missing is exactly the signal that makes training data valuable.
How pay works
Rates toward the top of the $55-$140/hr band go to practitioners with Big Four or national firm experience, CPA or CIA licensure combined with a specialty such as IT/IS audit, public-company SOX experience, or niche sector depth in financial services, healthcare, or government. Work is fully remote, billed by the verified hour or per completed task, and pay is released only after your submission passes a quality review - there are no retainers and no minimum hour commitments.
What the work looks like
A sample of the audit and assurance work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Review an AI-drafted internal audit report for a manufacturing client and flag any findings that lack sufficient root-cause analysis or conflate design deficiencies with operating failures.
- Evaluate a model-generated SOX walkthrough template and correct any steps where the control objective is misaligned with the associated risk or the test of design is not distinguished from the test of operating effectiveness.
- Create a worked example showing how an experienced auditor would document a segregation-of-duties exception in accounts payable, including the compensating control assessment and management response evaluation.
- Score a set of AI-produced risk-ranking outputs for a pre-audit risk assessment, marking each item as accurate, partially accurate, or misleading and explaining your reasoning in terms a model can learn from.
- Draft a calibration scenario in which an AI must distinguish between a material weakness, a significant deficiency, and a control deficiency under AS 2201, with annotated correct and incorrect model responses.
- Assess an AI-generated audit inquiry response and identify where the model accepted management representations without corroborating evidence, citing the relevant GAAS or IIA standard.
Specialties we match
Audit projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- SOX 404 internal controls
- IT general controls (ITGC)
- SOC 1 / SOC 2 / SOC 3 reporting
- Risk-based audit planning
- Workpaper documentation standards
- GAAS / PCAOB standards
- IIA Standards (IPPF)
- Control deficiency classification
- Fraud risk assessment
- Third-party / vendor risk auditing
- Continuous auditing and data analytics
- Government auditing (Yellow Book / GAGAS)
