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Registered Nurse

micro1Legit · not rated yetPosted 18 days ago

Pay: $60–70/hr

Who can apply
Open only to people in United States
Hours
Hours vary · Freelance
Where
Remote, work from home
Job type
Expert (SME) review
Openings
100 openings

At a glance: A freelance, remote expert (SME) review job with micro1. It pays $60–70/hr, with hours that vary. Only people in United States can apply.

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What happens after you click Apply

  1. You leave AI Trainer HQ and go to micro1’s own site.
  2. Pick a role, apply and answer the screening questions attached to it
  3. Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
  4. Complete a technical assessment if the role has one, then a hiring-manager review
  5. Take the offer, sign your Deel contract and clear the KYC identity check

How this pay compares

This job pays more than 46% of the 287 other micro1 jobs on the board that state pay; 49% pay more.

This job
$65/hrMiddle of $60–70/hr
Median on micro1
$65/hrFrom 287 other paid jobs
How we compare pay

Requirements

Qualifications
  • Inpatient clinical expertise
  • Clinical documentation review
  • Annotation of medical records
  • Nursing judgment
  • Evaluation of ai-generated clinical outputs
  • Attention to detail
  • Written and verbal communication
  • Feedback provision
Languages
  • English
Equipment
  • Computer with a reliable internet connection

About this job

Role Title: Registered Nurse

Role Type: Contractor

Location: United States, Remote

Compensation: $60-$70 USD per hour

micro1 is engaging Registered Nurses to contribute their expertise to a dynamic project for a valued customer. In this role, you'll apply your inpatient clinical expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required. Your domain knowledge is what matters.

Scope of Work

• Annotate and review clinical content and inpatient documentation (nursing notes, progress notes, care plans, orders, lab results, and discharge summaries), ensuring accuracy, clinical soundness, and completeness.

• Evaluate AI-generated outputs for clinical accuracy, safety, and appropriateness across a range of inpatient populations and care scenarios.

• Apply bedside nursing judgment and knowledge of inpatient workflows, standards of care, and documentation practices to validate and enrich datasets.

• Collaborate with project stakeholders via written and verbal communication to clarify requirements and resolve ambiguities in clinical documentation.

• Provide high-quality feedback on guidelines and edge cases to improve project workflows and model understanding.

Preferred Qualifications

• Based in the United States and able to practice as a Registered Nurse in the U.S.

• Recent inpatient bedside RN experience.

• Broad clinical exposure, with comfort reviewing documentation across different inpatient populations rather than a narrow specialty.

• Experience in an academic or large health system setting (e.g., a large teaching hospital), with exposure to complex patients, workflows, and documentation practices.

• Previous annotation experience with positive performance reviews.

• Proficiency with both written and verbal communication, with a strong attention to clarity and detail.

Listing history

First seen on our board
(9 days ago)
Posted by micro1
(18 days ago)
Last checked
Source
micro1

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