Utilization Review Nurse / Managed Care Expert

Requirements

Must be eligible to work in Remote
Fluent proficiency in English (Written & Verbal)
Reliable high-speed internet connection
Bachelor's degree or equivalent professional experience
Demonstrated expertise in Healthcare
Valid professional license or certification in the relevant clinical/health field (MD, DO, RN, RD, NBHWC, etc.)
Current knowledge of medical standards and practices
How long hiring takes
Across the platforms we work with, people typically hear back about a hire within

about

30 days
of being referred.
Some are quicker, some take longer.
Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%
Why this role
At $85/hr, this Utilization Review Nurse / Managed Care Expert position compensates Healthcare expertise on its own terms, the kind of rate that would otherwise only show up inside a law firm, hospital, or research lab.
Talent pool
We're light on Healthcare candidates
We've matched 33 people with a Healthcare background against 378 Healthcare listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
Set up your profile
Skills and categories
Explore other opportunities in related specializations:
Healthcare
No Degree Required
Healthcare & Social Sciences
Nursing & Patient Care
Expert
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Common questions
How and when does Ethos pay experts?
Within 30 days of invoice submission after a project closes. That net-30 schedule is standard for enterprise expert networks, but it's slower than the weekly payouts some AI training platforms offer, so plan your cash flow around it.
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network, not a task queue. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) through three formats: multi-week consulting engagements, 30-60 minute advisory calls, and targeted research surveys.
What does task-based AI training work look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Healthcare work look like for an Utilization Review Nurse / Managed Care Expert?
Tasks here are scoped to Healthcare, not generic labeling. As an Utilization Review Nurse / Managed Care Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Healthcare) rather than following a one-size-fits-all rubric. If you don't have hands-on Healthcare background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $85/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Ethos's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who built Ethos and is it legitimate?
Yes, it's legitimate and well-funded: Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up, and it's actively working with 25+ PE firms, hedge funds, and consultancies. The referral link on this page is an affiliate link; it doesn't affect your pay or opportunities.