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
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- 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
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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