Sales Experts: $50-$150/hr from AI Labs & Revenue Teams

Open application· 97 spots this round

$50-$150/hr sales and revenue work, on your schedule

Review AI-generated outreach, discovery, and deal strategy the way you'd coach a rep on your team. Flag the email that gets ignored, the discovery that misses pain, the close that pushes too soon. The pattern recognition from carrying a real quota - what moves a deal and what kills it - 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 an enterprise AE's eye on a discovery call that went nowhere 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

Sales questions

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

Enterprise and complex-deal backgrounds are among the most requested, because AI models struggle most with multi-stakeholder deal navigation, procurement processes, and long-cycle objection handling. If your experience includes six-figure deals, champion-building, or working through legal and security review, that context is directly applicable to the evaluation tasks you will be assigned.

Yes, fluency in a named sales methodology matters because many tasks ask you to review AI-generated call plans, discovery frameworks, or deal-stage analyses and flag where the model's reasoning deviates from sound methodology. Knowing MEDDIC, SPIN, Challenger, or similar frameworks lets you give precise, annotated feedback rather than general impressions.

Tasks are constructed around realistic but synthetic deal scenarios, not real company data, so you will not be reviewing actual customer records or live pricing sheets. If a scenario happens to resemble your current employer's situation closely enough to feel like a conflict, you can flag it and be reassigned to a different task without penalty.

Formal credentials are not required and are not used as a filter for most tasks. What qualifies you is demonstrated expertise in the relevant domain, which is assessed through your application profile and the screener questions, not a credential check. Hands-on quota-carrying or revenue-operations experience is treated as equivalent to formal certification for task matching purposes.

Typical tasks include evaluating AI-generated cold outreach sequences, reviewing discovery call transcripts for question quality and active listening, assessing account plans and territory strategies against stated deal criteria, and annotating AI-produced objection-handling scripts for accuracy and persuasiveness. The work stays within the written and analytical side of sales practice, so you will not be asked to make live calls or interact with any real prospect.

Why your expertise matters

Sales is one of the most judgment-dense professions in business: a single misread objection, a poorly sequenced discovery call, or a mispriced deal can cost far more than a month of salaries. AI models trained without input from working sales professionals produce advice that sounds plausible in a pitch deck but collapses under the pressure of a real procurement cycle, a competitive displacement, or a CFO demanding ROI justification. Your ability to spot when an AI-generated talk track would lose a deal - and articulate exactly why - is precisely what labs need to close that gap.

How pay works

Rates toward the $150/hr end go to professionals with demonstrable complex-sale experience: multi-stakeholder enterprise deals, MEDDIC or MEDDPICC qualification, solution or value-based selling frameworks, or vertical depth in industries like SaaS, medical devices, or financial services. All work is fully remote, compensated by the verified-completion hour, and structured so you log in when it fits your schedule rather than committing to set shifts.

What the work looks like

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

Review an AI-generated discovery call script and flag questions that would telegraph inexperience to a seasoned procurement lead or cause a CFO to disengage.
Evaluate a model-produced competitive battlecard for a SaaS displacement scenario, correcting positioning claims that misrepresent how a buyer actually weighs switching costs.
Write a realistic multi-thread email sequence targeting a stuck deal with a champion who has gone dark, showing the judgment calls at each touchpoint that a model should learn to replicate.
Score a set of AI-generated deal qualification summaries against MEDDIC criteria, noting where the model conflates economic buyer with champion or misses an implicit no-decision risk.
Annotate a transcript of a simulated negotiation call, labeling which concessions the AI-voiced rep made prematurely and explaining the downstream pricing integrity risk.
Create a worked example of a value-hypothesis email for a mid-market operations buyer, annotating each sentence to explain why a seasoned rep would phrase it that way rather than leading with product features.