Nurse Experts: $60-$150/hr from AI Labs & Healthtech

Open application· 84 spots this round

$60-$150/hr nursing and clinical care work, on your schedule

Review AI-generated care plans, triage decisions, patient education, and discharge instructions the way you'd review a new grad's charting. Surface what's unsafe, what's unrealistic on a real floor, and the judgment that only comes from twelve-hour shifts. How care actually gets delivered - not how the policy reads - 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 ICU nurse's eye on a triage call 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

Nursing questions

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

Niche sub-specialties are often the most valuable. AI models trained on general medical text systematically misrepresent specialized clinical reasoning, so your CRNA anesthesia protocols or NICU hemodynamic assessment skills are exactly the kind of expertise needed to catch and correct those gaps. Sub-specialties with distinct scope-of-practice boundaries, such as certified nurse-midwifery, wound care (CWCN), or nephrology nursing, are actively in demand.

An active, unencumbered license in at least one U.S. state (or equivalent international registration) is required for most clinical evaluation tasks, because the work involves making professional judgments about the accuracy of clinical reasoning rather than just general review. If your license is lapsed or you hold a retired license, you may still qualify for non-clinical tasks such as reviewing nursing education content or patient communication materials, but your task pool will be narrower.

You will never be asked to provide care, offer diagnoses, or interact with actual patients - the work is entirely evaluative and educational, focused on AI-generated text and synthetic clinical scenarios. No task will ask you to represent yourself as practicing in a clinical capacity, and you are always free to flag or decline any scenario you judge to be outside your scope or ethically problematic.

Typical deliverables include reviewing AI-generated SBAR reports, care plans, and discharge instructions for clinical accuracy; writing worked examples of nursing clinical judgment using frameworks like the NCSBN Clinical Judgment Measurement Model; and evaluating AI responses to patient education questions against evidence-based standards such as current ANA or specialty-society guidelines. You may also be asked to annotate AI-generated documentation for adherence to standards like NDNQI metrics or Joint Commission requirements.

Yes - specialty certifications like CCRN (critical care), CEN (emergency), OCN (oncology), or CMSRN (medical-surgical) are recognized credentials that increase your match rate for tasks in those clinical domains, regardless of your current care setting. If you hold a certification but now work in case management, informatics, or education, your background is still relevant and you can indicate both your credential and your current practice context when you apply.

Why your expertise matters

Nursing sits at the intersection of clinical protocol, patient safety, and real-time judgment under uncertainty - exactly where AI models make their most consequential errors. A nurse can spot when a model's medication reconciliation overlooks a common drug-drug interaction, conflates nursing scope of practice with physician orders, or applies a textbook algorithm to a patient population where bedside experience would immediately flag a contraindication. That situated, pattern-trained clinical judgment cannot be reconstructed from medical literature alone, and frontier AI labs need it to build systems that practitioners will actually trust in care settings.

How pay works

Rates toward the top of the $60-$150/hr band go to nurses with specialized certifications (CCRN, CEN, CNS, CRNA, FNP), active clinical practice in high-acuity settings, or deep familiarity with specific EHR systems and regulatory frameworks like Joint Commission standards or CMS Conditions of Participation. All work is fully remote and asynchronous, so you set your own schedule around shifts or per diem days. Payment is released after each task is verified as complete, with no minimum hour commitments.

What the work looks like

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

Review an AI-generated nursing care plan for a patient with heart failure and flag any interventions that fall outside RN scope of practice or conflict with current ACC/AHA guidelines.
Evaluate a model's triage recommendations for a set of emergency department scenarios and identify where CTAS or ESI level assignments are clinically indefensible.
Write a detailed worked example of your thought process when assessing a post-surgical patient showing early signs of sepsis, capturing the cues you prioritize and why.
Rate a set of AI responses to NCLEX-style pharmacology questions and annotate where the reasoning reflects a dangerous oversimplification of drug-drug interaction risk.
Identify documentation errors in AI-generated SOAP notes that would create legal or billing compliance problems under CMS or Joint Commission standards.
Compare two AI-drafted patient discharge instruction sets for a diabetic patient and mark which one a newly diagnosed patient could realistically follow safely at home.