Supply Chain & Ops Experts: $50-$140/hr from AI Labs

Open application· 69 spots this round

$50-$140/hr supply chain and operations work, on your schedule

Review AI-generated demand plans, logistics strategy, and operations decisions the way you'd review a plan before committing to it. Flag the forecast that ignores lead time, the route that won't scale, the inventory call that strands cash. Knowing how operations actually behave under stress is exactly what AI labs need.

Fully remoteYour scheduleWeekly pay

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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 a planner's eye on a forecast that ignores lead time 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

Supply Chain & Operations questions

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

Yes. Procurement judgment is one of the areas where AI-generated output is most unreliable because models tend to treat supplier selection as a pure cost optimization problem while ignoring risk concentration, geographic dependencies, or the practical dynamics of renegotiating a long-term contract mid-disruption. Tasks in this area include evaluating AI-generated supplier scorecards, critiquing total-cost-of-ownership analyses, and flagging where a recommended sourcing strategy ignores supply continuity or category-specific leverage constraints.

The tasks are grounded in the specifics of how planning actually works, not in textbook frameworks. You might review an AI-generated demand plan and flag where it conflates statistical forecast error with bias, misapplies a causal model to a lumpy demand profile, or produces a consensus number that is arithmetically plausible but violates known capacity constraints. Experience with IBP, Kinaxis, or O9 planning workflows is directly applicable because those are the systems the output is meant to reflect.

The CPIM counts as a signal of depth, but it is your current operational judgment that matters most for task eligibility. Operations management work, including capacity planning, throughput analysis, production scheduling, and lean / Six Sigma-based process improvement, is within scope. Tasks at that level often require evaluating whether an AI-generated operations recommendation accounts for real constraints like line changeover time, OEE variation, or the shop-floor dynamics that MRP systems do not capture.

You do not need a customs broker license to evaluate AI-generated trade compliance reasoning. Practitioners with hands-on HTS classification experience, C-TPAT program management, or landed cost analysis backgrounds are exactly what these tasks require. The work involves identifying where an AI-generated duty calculation applies the wrong General Rule of Interpretation, misclassifies a finished good versus a component, or ignores a relevant free-trade-agreement provision, which is a matter of applied knowledge, not a licensed practice restriction.

3PL and freight-forwarding experience qualifies, and in several task categories it is specifically valuable. Practitioners who have managed network design for multiple clients, negotiated carrier contracts, or handled modal optimization across ocean, air, and ground freight bring a cross-industry perspective that single-company planners often lack. Tasks like evaluating AI-generated routing guides, critiquing rate-benchmark analyses, or scoring AI-drafted RFP responses for a transportation bid are well-suited to that background.

Why your expertise matters

Supply chain decisions involve cascading trade-offs across procurement, inventory positioning, transportation modes, and supplier risk that AI models consistently mishandle when they treat each node in isolation. Getting these judgments right requires practitioners who have lived through a port disruption, a sole-source failure, or an MRP explosion gone wrong, and who know the difference between a textbook EOQ calculation and a defensible reorder point in a real distribution network. Your ability to spot when an AI recommendation ignores lead-time variability, landed cost, or regulatory constraints is exactly what makes training data produced by supply chain professionals meaningfully different from generated text.

How pay works

Rates toward the top of the $50-$140/hr band reflect deep specialization - practitioners with hands-on experience in areas like S&OP facilitation, import/export compliance (C-TPAT, CTPAT, HTS classification), network design modeling, or supplier quality management under IATF 16949 or AS9100 consistently command higher rates than generalist backgrounds. All work is fully remote, paid by the verified hour with no minimum commitment, and you are compensated only after your submission passes review, not on a speculative or project-fee basis.

What the work looks like

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

Review an AI-generated safety stock calculation for a high-mix electronics assembly line and flag where the model failed to account for supplier lead-time variance and forecast error at the SKU level.
Evaluate a draft supplier risk assessment produced by an AI tool and identify which single-source exposures, sub-tier dependencies, or geopolitical factors were misclassified or omitted.
Score a set of AI-generated S&OP narratives for analytical accuracy, checking whether demand signals, inventory positions, and capacity constraints are correctly synthesized into a coherent recommendation.
Create a worked example of a landed cost analysis for an ocean-to-air mode shift decision, showing the reasoning steps a senior logistics manager would follow when duty rates, transit time, and carrying cost interact.
Audit an AI-drafted HTS classification rationale for a finished goods import and mark each step where the binding ruling logic, General Rules of Interpretation, or country-of-origin determination is flawed or unsupported.
Compare two AI-generated distribution network redesign scenarios and write a structured critique explaining which total-cost trade-offs are correctly modeled and which assumptions about throughput, dwell time, or service level are unrealistic.