Operations Consultants: $80-$180/hr from Frontier AI Labs

Open application· 55 spots this round

$80-$180/hr operations consulting work, on your schedule

Review AI-generated process designs, operating models, and transformation plans the way you'd pressure-test them with a client. Flag the savings that won't materialize, the process that ignores the front line, the change no one will adopt. The judgment that makes operations actually improve 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 ops consultant's eye on a transformation that won't stick 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

Operations Consulting questions

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

Narrow specializations are often more valuable than generalist backgrounds because AI models struggle most with the nuanced judgment calls that come from deep domain experience. Sub-specialties like lean transformation, shared services design, S&OP, or organizational redesign are all in active demand. The more specific your practice area, the more useful your evaluations tend to be.

The CMC designation is recognized and treated as strong evidence of professional-level expertise. Terac does not require or favor any particular academic credential, and practitioners with CMC, PMP, Lean Six Sigma Black Belt, or APICS CPIM certifications have all qualified. What matters is that you can demonstrate fluency in the methods and judgment calls of your practice area.

All scenarios you review are either synthetic or sufficiently anonymized so that no real client data, named firm, or proprietary methodology is ever surfaced to you. You will not be put in a position where responding accurately would require disclosing anything from a current or past engagement. The work is structured around evaluating reasoning quality, not extracting institutional knowledge.

The tasks typically involve reviewing AI-generated current-state assessments, root-cause analyses, operating model diagrams, and implementation roadmaps, then annotating where the reasoning is sound and where it would fail scrutiny from a client or a senior partner. You may also be asked to produce worked examples of how you would structure a diagnostic or frame a recommendation, which are used to teach models expert-level thinking. The deliverables are the same artifacts you work with professionally, not abstract test questions.

Yes, that profile is actively useful and somewhat underrepresented relative to pure process-improvement backgrounds. AI evaluation work in operations consulting specifically needs practitioners who can assess organizational feasibility, spans and layers analysis, and change sequencing, not just cycle time or throughput logic. If your practice sits at the intersection of operations and org design, that combination is particularly valuable for reviewing model outputs that conflate process efficiency with structural change.

Why your expertise matters

Operations consulting spans process redesign, supply chain optimization, cost reduction, and organizational transformation - domains where AI models routinely produce plausible-sounding but subtly flawed recommendations. A practitioner who has run Kaizen events, built value stream maps, and presented to C-suites can immediately identify when an AI conflates takt time with cycle time, misapplies TOC constraints, or proposes a make-vs-buy framework that ignores real lead time variability. That calibrated, field-tested judgment is exactly what frontier labs need to close the gap between AI outputs that look correct on paper and advice that would actually hold up in a plant or a boardroom.

How pay works

Rates toward the top of the $80-$180/hr band go to consultants with deep specialization - such as Six Sigma Black Belt or MBB credentials, supply chain network design, or manufacturing turnarounds - and those who can articulate precisely why a recommendation fails in practice, not just flag that it does. All work is remote, billed by the verified hour or completed task, and payment is released after Terac confirms the deliverable meets scope, so there are no invoicing delays or net-30 terms to manage.

What the work looks like

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

Review an AI-generated value stream map for a discrete manufacturer and flag where the model miscalculated process cycle efficiency or misidentified the pacemaker process.
Evaluate a draft supply chain network optimization report and identify whether the AI correctly applied total landed cost logic versus treating freight as the only variable.
Write a worked example of a structured root cause analysis - using a 5-Why chain and fishbone diagram - for a recurring warehouse pick-error problem so a model can learn how an experienced consultant frames the problem before jumping to solutions.
Score five AI-generated S&OP process redesign recommendations on whether they account for demand signal latency, consensus meeting cadence, and ERP master data quality.
Critique an AI response that proposes a Lean transformation roadmap and note where it conflates tools implementation with the cultural and leadership prerequisites that actually determine success.
Create a realistic case vignette of a plant turnaround engagement - including baseline OEE data, constraint identification, and a prioritized improvement backlog - to serve as a high-quality training example for AI reasoning about operational diagnostics.