MercorDomain experts
Cardiology NP / PA / RN – ATTR Clinical Consultant
up to $120/hr
About this role, in Mercor's words
An AI healthcare company that automates administrative and pharmacy workflows to help patients access life-changing medications and specialty treatments is seeking an experienced Cardiology Nurse Practitioner (NP), Registered Nurse (RN), or Physician Assistant (PA) for a part-time consulting role. The role focuses on improving an AI model that identifies patients likely to have transthyretin (ATTR) cardiac amyloidosis through clinical chart review, patient case labeling, and evidence-based clinical reasoning.
What you'll do
- Review patient charts and assess the likelihood of ATTR cardiac amyloidosis, including cases with incomplete information.
- Identify relevant clinical signals, including patient history and diagnostic findings such as PYP scans, where applicable.
- Document clear, evidence-based reasoning; distinguish ATTR from similar conditions and maintain consistent labeling standards.
- Refine assessments based on new evidence and AI model feedback, explain clinical decisions to technical teams, and meet labeling deadlines.
Candidate background
What this role asks for
- 1+ yrs experience
Read from the posting's own words: show the exact sentences
- 1+ yrs experience: “…experience , ideally within a cardiology practice or clinic. • 1–3 years of experience in a Heart Failure or ATTR-specific clinic. • Hands-on experience evaluating or…”
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 ↗
About the Role
An AI healthcare company that automates administrative and pharmacy workflows to help patients access life-changing medications and specialty treatments is seeking an experienced Cardiology Nurse Practitioner (NP), Registered Nurse (RN), or Physician Assistant (PA) for a part-time consulting role. The role focuses on improving an AI model that identifies patients likely to have transthyretin (ATTR) cardiac amyloidosis through clinical chart review, patient case labeling, and evidence-based clinical reasoning.
What You’ll Do
• Review patient charts and assess the likelihood of ATTR cardiac amyloidosis, including cases with incomplete information.
• Identify relevant clinical signals, including patient history and diagnostic findings such as PYP scans, where applicable.
• Document clear, evidence-based reasoning; distinguish ATTR from similar conditions and maintain consistent labeling standards.
• Refine assessments based on new evidence and AI model feedback, explain clinical decisions to technical teams, and meet labeling deadlines.
Who Should Apply
• NP, RN, or PA with 5+ years of cardiology-focused experience , ideally within a cardiology practice or clinic.
• 1–3 years of experience in a Heart Failure or ATTR-specific clinic.
• Hands-on experience evaluating or managing suspected or confirmed ATTR cardiomyopathy, including PYP scans as appropriate to professional scope.
• Strong clinical judgment and the ability to explain decisions using clear, structured criteria.
• Able to commit 10–20 hours per week alongside clinical practice.
Preferred: Experience at amyloidosis center of excellence or cardiomyopathy clinic; contributions to ATTR-related research or publications; or prior experience with AI/ML teams, clinical decision-support systems, or clinical chart abstraction and labeling.
Project Details
• Engagement: Part-time with a commitment of approximately 10–20 hours per week.
• Required role : US-based clinicians only
• Focus: Patient chart annotation, clinical reasoning, and AI model improvement.
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
- Hearing back after the AI interview usually takes 2 to 4 weeks. 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 698 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $120, is in the middle half. Of the 259 distinct rates we count, 171 are lower and 74 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 149 | $24 to $200 · median $80 |
| micro1 | 136 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor (this platform) | 77 | $55 to $450 · median $115 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 9 Oct 2026, and still on Mercor's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Mercor
- First seen by AIPayList
- Last seen live
- Listing ID
- list_AAABoR2xjYr8XjgWp0VJJJ3W
Pay as the source states it: “80–120 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.
Keep exploring
More like this
Related field, different requirements. Check each role's own page before you apply.