Utilization Management Nurses: $60-$130/hr from AI Labs

Open application· 48 spots this round

$60-$130/hr utilization management work, on your schedule

Review AI-generated authorizations, medical-necessity determinations, and appeals the way you'd review a case against criteria. Flag the wrongful denial, the criteria misapplied, the safety issue a flowchart misses. The judgment that balances guidelines against what the patient actually needs 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 a UM nurse's eye on a prior auth that shouldn't be denied 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

Utilization Management questions

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

Acute inpatient UM is one of the highest-demand areas because AI models are actively being trained on complex medical necessity decisions, InterQual and MCG criteria application, and payer denial reasoning - exactly the territory you work in every day. Outpatient and behavioral health reviewers are also needed, but you do not need cross-functional experience to qualify. Your depth in one area is more valuable than a shallow generalist background.

You need an active, unencumbered RN license in at least one U.S. state to participate. A Compact Nursing License counts, and single-state licensure is fine. Lapsed, surrendered, or retired licenses do not qualify because the work involves evaluating clinical reasoning, and active licensure is required to ensure you are still in good standing with current practice standards.

No. All cases you review are de-identified synthetic or historical scenarios created specifically for model training, and none of your outputs are routed to any payer, provider, or patient. Your role is to evaluate the quality of AI-generated UM reasoning, not to render coverage decisions, so nothing you produce constitutes a clinical or administrative determination under URAC, NCQA, or state insurance regulations.

Credentials like CCM (Certified Case Manager) and ACM (Accredited Case Manager) are recognized and can strengthen your application, especially for tasks that blend care coordination with utilization review. Criteria set experience matters: reviewers with hands-on InterQual or MCG application are prioritized for tasks that require evaluating whether an AI correctly cited or applied a specific level-of-care guideline. If you have worked with proprietary payer criteria, note that in your profile because certain evaluation tasks are scoped to specific payer logic.

Tasks include reviewing AI-drafted medical necessity letters, critiquing denial rationale narratives for clinical accuracy and regulatory language (including MOON notice and PASRR reasoning), annotating AI-generated appeals responses, and creating worked examples that show step-by-step how an experienced UM nurse applies InterQual criteria to a clinical scenario. You may also be asked to identify errors in AI-produced care transitions plans or discharge planning summaries that reflect common UM workflows.

Why your expertise matters

Utilization management nurses make high-stakes clinical necessity determinations every day using InterQual and MCG criteria, payer contracts, and CMS guidelines - exactly the kind of structured reasoning frontier AI models are being trained to replicate in healthcare administrative and clinical decision support contexts. When an AI gets a UM determination wrong, the downstream consequences include denied care, delayed treatment authorization, or inappropriate resource allocation, so models need correction from nurses who have actually worked concurrent review, prior authorization, and appeals. Your judgment about what constitutes medical necessity - formed through reviewing thousands of cases across DRGs, CPT codes, and payer-specific LCDs - is precisely the signal that separates a well-calibrated model from one that produces clinically plausible but operationally wrong outputs.

How pay works

Rates toward the $130/hr ceiling typically reflect deep experience in a specific clinical area such as behavioral health UM, complex case management, or Medicare Advantage prior auth, combined with familiarity with multiple criteria sets like InterQual, MCG, and Milliman. Nurses with experience writing appeal letters, conducting peer-to-peer reviews, or working IRO (independent review organization) cases also tend to command higher rates because those tasks require integrating payer contract language with clinical evidence. All work is fully remote, paid by the hour at verified task completion, with no minimum weekly commitment.

What the work looks like

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

Review an AI-generated prior authorization denial letter and flag any clinical necessity reasoning that misapplies InterQual Level of Care criteria for acute inpatient admission.
Evaluate a model's recommended discharge disposition for a post-surgical patient and identify where the output conflicts with CMS Two-Midnight Rule requirements.
Create a worked example of a behavioral health concurrent review note, annotating your reasoning about medical necessity criteria at each decision point so the model can learn how an experienced UM nurse thinks through the case.
Score a set of AI-drafted appeal responses for accuracy against the payer's stated LCD and flag language that would not survive an IRO review.
Review model-generated responses to common peer-to-peer review scenarios and mark where the clinical justification is insufficient to support the requested level of care.
Write a reference case showing how you apply MCG criteria to a skilled nursing facility authorization request, including which evidence you weigh most heavily and why standard criteria alone do not resolve the case.