Registered Nurse

Parailabs; United States; Remote; USD 83,000 - 96,000; Full time

Job summary

Parailabs in the United States is seeking a Registered Nurse contractor to contribute expertise to a cutting-edge AI training project. You will apply inpatient clinical knowledge to annotate nursing notes, orders, and care plans, ensuring accuracy and safety across patient scenarios. Remote work is supported.

No AI experience is required; your RN experience matters as you shape model learning and provide clear feedback to project teams.

Qualifications

• Must hold valid RN license in the United States.
• Recent inpatient bedside RN experience required.
• Experience with clinical documentation review preferred.
• Strong communication and attention to detail required.

Responsibilities

• Annotate and review clinical content and inpatient documentation for accuracy.
• Evaluate AI-generated outputs for clinical safety and appropriateness.
• Apply bedside nursing judgment to validate datasets.
• Collaborate with stakeholders to clarify requirements and resolve ambiguities.
• Provide high-quality feedback to improve guidelines and workflows.

Skills

Inpatient RN experience

Written and verbal communication

Attention to detail

Remote work capability

Education

RN license (US)

Job description

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

1. 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.
2. Evaluate AI-generated outputs for clinical accuracy, safety, and appropriateness across a range of inpatient populations and care scenarios.
3. Apply bedside nursing judgment and knowledge of inpatient workflows, standards of care, and documentation practices to validate and enrich datasets.
4. Collaborate with project stakeholders via written and verbal communication to clarify requirements and resolve ambiguities in clinical documentation.
5. Provide high-quality feedback on guidelines and edge cases to improve project workflows and model understanding.

Preferred Qualifications

1. Based in the United States and able to practice as a Registered Nurse in the U.S.
2. Recent inpatient bedside RN experience.
3. Broad clinical exposure, with comfort reviewing documentation across different inpatient populations rather than a narrow specialty.
4. Experience in an academic or large health system setting (e.g., a large teaching hospital), with exposure to complex patients, workflows, and documentation practices.
5. Previous annotation experience with positive performance reviews.
6. Proficiency with both written and verbal communication, with a strong attention to clarity and detail.