Quick facts
- Pay
- $60–70 / hour
- Type
- Part-time
- Location
- United States, Remote
- Background
- Registered nurse
- Platform
- Micro1 — 272 open jobs
- Typical pay at Micro1
- $25–120/hour · median $75 (30 jobs on our site)
- Payout
- Deel (twice a month)
- Apply
- Free to apply — never pay to get AI training work
This role is also open in other regions
pay
Required Skills
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
knowledge of inpatient workflows
collaboration with stakeholders
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
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.
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micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.