MercorDomain experts
Pediatric Inpatient Nurses (RN)
up to $65/hr
About this role, in Mercor's words
We're hiring experienced Pediatric Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. This role is ideal for nurses who want to apply their frontline pediatric bedside experience to improve the accuracy, safety, and reliability of medical AI tools.
What you'll do
Key Responsibilities
- Review and evaluate AI-generated clinical outputs based on nursing flowsheet documentation
- Validate accuracy, completeness, and adherence to current documentation standards
- Annotate and structure inpatient pediatric nursing assessment data for AI training datasets
Show all 8 itemsHide the other 5 in Key Responsibilities
- Provide expert feedback on nursing assessments and documentation practices
- Identify gaps, inconsistencies, or risks in AI-generated responses
- Ask clarifying questions when annotation guidance is ambiguous, and contribute to guideline refinement
- Collaborate with technical teams to improve model performance
- Contribute to the development of high-quality clinical benchmarks
Candidate background
Basic Qualifications
- Active RN license (U.S., outside California)
- Recent pediatric acute care inpatient bedside experience, ideally in a non-procedural inpatient unit. Candidates should have worked in an inpatient bedside role within the past 10 years, with current or more recent documentation experience prioritized over total years of nursing experience.
- Comfortable performing and documenting comprehensive pediatric nursing assessments
- Comfortable following detailed annotation guidelines consistently
- Excellent written communication skills and responsiveness to feedback
- Ability to work independently and meet deadlines
Preferred Qualifications
Show all 6 itemsHide these 6 items in Preferred Qualifications
- Epic EHR experience (most common platform, closely aligns with many workflows)
- Comfortable learning new annotation tools and web-based platforms
- Able to navigate transcripts efficiently and use AI-assisted tools appropriately while still verifying outputs
- Experience reviewing charts for quality improvement, utilization review, CDI, or clinical informatics
- Previous annotation, chart abstraction, or healthcare AI experience
- Comfortable discussing edge cases and contributing to guideline refinement
Quoted from selected sections of Mercor's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Mercor's words
Posted by Mercor, reproduced here so you can judge the role before clicking. Original posting ↗
Overview
We're hiring experienced Pediatric Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. This role is ideal for nurses who want to apply their frontline pediatric bedside experience to improve the accuracy, safety, and reliability of medical AI tools.
You'll work on projects that require deep clinical judgment, attention to detail, and the ability to translate real-world bedside documentation practices into structured feedback for AI systems.
Key Responsibilities
• Review and evaluate AI-generated clinical outputs based on nursing flowsheet documentation
• Validate accuracy, completeness, and adherence to current documentation standards
• Annotate and structure inpatient pediatric nursing assessment data for AI training datasets
• Provide expert feedback on nursing assessments and documentation practices
• Identify gaps, inconsistencies, or risks in AI-generated responses
• Ask clarifying questions when annotation guidance is ambiguous, and contribute to guideline refinement
• Collaborate with technical teams to improve model performance
• Contribute to the development of high-quality clinical benchmarks
Basic Qualifications
• Active RN license (U.S., outside California)
• Recent pediatric acute care inpatient bedside experience, ideally in a non-procedural inpatient unit. Candidates should have worked in an inpatient bedside role within the past 10 years, with current or more recent documentation experience prioritized over total years of nursing experience.
• Comfortable performing and documenting comprehensive pediatric nursing assessments
• Comfortable following detailed annotation guidelines consistently
• Excellent written communication skills and responsiveness to feedback
• Ability to work independently and meet deadlines
Preferred Qualifications
• Epic EHR experience (most common platform, closely aligns with many workflows)
• Comfortable learning new annotation tools and web-based platforms
• Able to navigate transcripts efficiently and use AI-assisted tools appropriately while still verifying outputs
• Experience reviewing charts for quality improvement, utilization review, CDI, or clinical informatics
• Previous annotation, chart abstraction, or healthcare AI experience
• Comfortable discussing edge cases and contributing to guideline refinement
Working with MercorPay, getting started and work, from Mercor's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Hourly work is paid every Wednesday for the previous week, through Stripe Connect or Wise, whichever Mercor assigns to your region. Stripe holds the first payout for 7 days. talent.docs.mercor.com/how-to/payments, talent.docs.mercor.com/policies/contracts
- Before your first paid task
- An AI interview of about 20 minutes, reused for other roles that need it, then any assessments the role asks for. Before logging hours: ID verification through Persona, a tax form, the contract documents, the Insightful time tracker, and a background check the onboarding guide says usually takes one to two weeks. talent.docs.mercor.com/support/ai-interview, talent.docs.mercor.com/how-to/apply, talent.docs.mercor.com/policies/contracts, talent.docs.mercor.com/how-to/id-verification, talent.docs.mercor.com/working/project-onboarding
- How much work
- The current interview FAQ gives no reply-time estimate. Mercor says it notifies you when your application moves to the next stage and that you can keep applying. When a project ends you are not moved to a new one automatically. talent.docs.mercor.com/support/ai-interview, talent.docs.mercor.com/support/project
- Contract
- Independent contractor with Mercor.io Corporation of San Francisco, which deducts no taxes. talent.docs.mercor.com/policies/taxes-work-authorization, talent.docs.mercor.com/support/legal
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
Alex's experience on MercorA personal account, not a promise about your project
Alexruns this site and has worked on Mercor himself. Written 31 Aug 2026.
- Every interview I took used an AI interviewer. They always checked my microphone and camera and asked me to share my screen, and some included a timed exercise of around 25 minutes.
- Many later applications needed no new interview from me. With the required assessments complete and no other outstanding steps, applying could be close to one click.
- The application I checked did not ask for a rate. My offer matched my minimum in Work Preferences. That does not establish that Mercor always caps higher offers at your preference.
- Onboarding and setup came to about 4 hours, with more security and tool setup. Of the three platforms I worked on, it was the most complicated for me. That is an estimate from my projects, not a platform average.
- Mercor required the Insightful tracker on my project. I observed app and website usage monitoring, and I am unsure which screenshot settings applied, so check the configuration.
- I was paid for hours logged, once every 14 days, and I have not experienced late or incorrect payments. That was my arrangement. Mercor's current documentation describes weekly payout cycles, so check your own offer.
One person's applications, not a promise about yours.
What happens after you apply, first-handHow does the pay compare?Across Domain experts roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Mercor's posting. How we count.
Pay across the field: Domain experts
Across 751 roles in this field with a stated hourly rate in US dollars, on 21 platforms, the middle half pays $61 to $125 an hour at the top of the range, and the median is $100. This role's top rate, $65, is in the middle half. Of the 267 distinct rates we count, 69 are lower and 189 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| micro1 | 155 | $12 to $400 · median $110 |
| Alignerr | 148 | $24 to $200 · median $80 |
| AfterQuery | 93 | $45 to $175 · median $100 |
| Mercor (this platform) | 89 | $55 to $450 · median $120 |
| Handshake AI | 81 | $30 to $300 · median $80 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 2 Sep 2026, and still on Mercor's list when we last read it on 25 Oct 2026.
- The listed pay has not changed since then.
- Posted by Mercor
- First seen by AIPayList
- Last seen live
- Listing ID
- list_AAABoF6Jhh_gEMICBt9PQoR0
Pay as the source states it: “55–65 USD HOUR”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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