Ex-MBB Consultants: $100-$220/hr from Frontier AI Labs

Open application· 44 spots this round

$100-$220/hr top-tier strategy consulting work, on your schedule

Run AI models through case interviews and stress-test their strategy the way a partner would. Flag the MECE that isn't, the hypothesis with no support, the recommendation that collapses under a single hard question. The rigor MBB drills into every analyst is exactly the bar frontier labs want to learn.

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 an ex-McKinsey EM's eye on a case that breaks at the second layer 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

Ex-MBB Consulting questions

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

Deep vertical specialization is exactly what makes your evaluations credible. Models frequently generate plausible-sounding but wrong sector-specific analysis - for instance, confusing gross margin normalization conventions in PE diligence with those used in public company benchmarking - and a generalist reviewer would miss it. Your narrowest expertise is your highest-value contribution.

The tasks map directly to artifacts you produced on the job: structured problem decompositions, issue trees, synthesized slide narratives, hypothesis-driven analyses, and executive-ready recommendations backed by quantitative models. You may also be asked to create worked examples that demonstrate how a consultant reasons from ambiguous data to a defensible point of view, using the Pyramid Principle or MECE structuring as a reference frame.

Alumni who have moved into corporate strategy, operating roles, or PE are actively in demand, because their perspective on how AI-generated strategic work lands with real decision-makers is distinct from a current consultant's view. You qualify based on your MBB training and years of practice, not on current firm affiliation.

You will never be asked to reproduce firm-proprietary materials, internal benchmarking databases, or client-specific data. Tasks are grounded in publicly documented frameworks - Porter's Five Forces, the BCG Growth-Share matrix as described in published literature, standard DCF modeling conventions - and your job is to evaluate whether an AI has applied them correctly, not to share anything from your firm's internal knowledge base.

A CFA charter meaningfully expands the scope of work you can be assigned, particularly tasks involving financial model review, valuation methodology critique, and capital markets strategy analysis where modeling rigor is the evaluation criterion. Your MBA is treated as context rather than a standalone qualifier; the combination of a quantitative credential like the CFA with MBB experience places you in a high-demand tier for work that sits at the intersection of strategy and corporate finance.

Why your expertise matters

Frontier AI models make confident-sounding errors in strategy work that only an experienced consultant can catch: misapplied frameworks, flawed disaggregation logic, conclusions that ignore second-order competitive responses, or financial models with structurally unsound unit economics. MBB training instills a specific way of structuring ambiguous problems, pressure-testing hypotheses, and communicating to senior decision-makers that models are actively trying to replicate but frequently get wrong in subtle ways. Your ability to recognize when a model's output would not survive a partner review is exactly the signal labs need to improve reasoning quality in high-stakes business contexts.

How pay works

Pay within the $100-$220/hr band reflects task complexity and the depth of domain judgment required. Engagements involving M&A due diligence logic, advanced financial modeling review, or nuanced competitive strategy evaluation in regulated industries typically reach the higher end, while lighter-touch framework annotation or issue-tree validation tasks sit lower. All work is fully remote and billed hourly, with payment released on verified task completion rather than on a fixed schedule.

What the work looks like

A sample of the top-tier strategy consulting work you would pick up. Every project is scoped, remote, and paid on verified completion.

Review an AI-generated slide deck restructuring a client's cost base and flag where the disaggregation breaks MECE discipline or where the so-what is buried in the backup.
Evaluate a model-produced market entry recommendation and identify whether competitive response scenarios are plausible given actual industry dynamics, not textbook Porter assumptions.
Create a worked example of a complete issue tree for a profitability problem, annotating each branch with the reasoning a project manager would use to prioritize hypotheses.
Assess an AI-written executive summary for a post-merger integration and note where the narrative logic skips a step that a McKinsey partner would send back for revision.
Rate the quality of AI-generated sensitivity tables attached to a three-statement LBO model, identifying where assumption ranges are unrealistically narrow or where circular logic is present.
Write a structured comparison of two AI responses to an operating model redesign question, explaining which better reflects how a real engagement team would size and phase the workstreams.