Corporate Development & M&A: $80-$180/hr from AI Labs

Open application· 34 spots this round

$80-$180/hr corporate development and M&A work, on your schedule

Review AI-generated deal models, diligence findings, and valuations the way you'd review them before an investment committee. Flag the synergy that's fiction, the multiple that's wrong, the risk diligence missed. The judgment that separates a deal worth doing from one that destroys value is what AI labs need.

Fully remoteYour scheduleWeekly pay

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

Trusted by top research companies

Rated by experts worldwide

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 corp dev lead's eye on a deal model that won't close 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

Corporate Development questions

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

Both profiles are valuable, and sell-side specialists are often more useful for specific tasks. Work in this area tends to involve evaluating AI-generated deal narratives, CIM drafts, and positioning analyses, where sell-side pattern recognition is exactly what is needed. Buy-side integration experience is drawn on separately, for tasks around synergy modeling and 100-day plan review.

You will review AI-generated outputs that include both: qualitative strategic rationale and quantitative artifacts such as discounted cash flow structures, contribution analyses, and accretion/dilution logic. The work is not about auditing a live deal model in Excel, but about judging whether the AI's reasoning, assumptions, and structure reflect how a practitioner would actually approach the problem. Familiarity with standard precedent transaction and public company comparables methodology is directly applicable.

The CFA charter is a recognized credential for this role. Terac's verification process looks at the combination of credential, work history, and domain-specific screening, so a CFA paired with M&A deal experience qualifies without any additional banking license. Credentials like the FINRA Series 79 or a licensed fairness opinion background also qualify and may unlock additional task types.

You will never be asked to input, reference, or disclose information from any current or past client engagement. All tasks use synthetic deal scenarios, publicly available company data, or anonymized hypotheticals constructed by Terac. Your obligation is to evaluate AI reasoning in isolation, which does not implicate client confidentiality or the duty of care you owe in a live advisory relationship.

Sector depth is a feature, not a limitation. Healthcare services, tech, industrials, and other verticals each have distinct regulatory considerations, valuation conventions, and deal structure norms that generalist reviewers cannot reliably assess. You may be matched preferentially to tasks where that sector context matters, such as reviewing AI-generated EBITDA normalization logic or regulatory approval risk assessments in your vertical.

Why your expertise matters

M&A is one of the highest-stakes domains for AI evaluation because errors in deal logic, valuation methodology, or regulatory analysis can mislead models into producing outputs that look authoritative but would fail basic diligence review. Corporate development professionals carry judgment that is difficult to simulate: knowing when a DCF assumption is defensible versus window-dressing, when an integration thesis is realistic versus aspirational, and how acquirer-target dynamics actually play out post-close. That practiced skepticism is exactly what frontier models need to develop before they are trusted in financial advisory contexts.

How pay works

Rates at the top of the $80-$180/hr band reflect depth in deal-specific sub-disciplines - buy-side M&A at large-cap public companies, cross-border transactions with CFIUS or FDI regulatory experience, or carve-out and divestiture complexity commands a premium over generalist finance backgrounds. All work is fully remote and paid on verified task completion, not on hours tracked, so your earnings reflect the quality and volume of tasks you complete rather than time on a call. There is no retainer and no minimum commitment, so you can take on work between deals or during slower pipeline periods.

What the work looks like

A sample of the corporate development and M&A work you would pick up. Every project is scoped, remote, and paid on verified completion.

Review an AI-generated leveraged buyout model and flag where the debt sizing, interest coverage assumptions, or exit multiple logic would not pass muster with a credit committee.
Evaluate an AI-drafted letter of intent and mark up provisions - exclusivity period, material adverse change definition, representations scope - where the language creates undue risk for the acquirer.
Score a set of AI-produced precedent transaction comps for relevance, noting where the model selected inappropriate peers based on size, geography, or deal structure.
Write a worked example of a carve-out separation cost analysis, showing how you would identify stranded costs, TSA obligations, and one-time dis-synergies that a generalist model typically understates.
Assess whether an AI-generated integration synergy bridge correctly sequences cost savings versus revenue synergies and reflects a realistic realization timeline given typical PMO constraints.
Annotate an AI-drafted CFIUS risk memo, correcting mischaracterizations of covered business categories, prohibited transaction structures, or mitigation agreement requirements.