Healthcare/Nursing AI Training Specialist — Task Creation & Model Evaluation
About the role
About Rise Data Labs
Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including nursing, clinical care, and healthcare documentation. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.
Job Overview
As a Healthcare/Nursing AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for clinical and nursing work. This role goes beyond traditional annotation and labeling - you'll author realistic, economically valuable clinical tasks and rubrics based on real patient care scenarios, then grade AI-generated deliverables against them.
What You'll Do
- Create realistic clinical scenarios based on your own professional experience - e.g., patient assessment documentation, care planning, vital sign tracking, lab trend analysis, medication management
- Supply the kinds of reference materials you'd normally work from (redacted patient charts, care plans, clinical notes)
- Write detailed rubrics specifying exactly what a correct, clinically sound deliverable requires - accurate assessments, appropriate clinical reasoning, correct terminology
- Grade AI-generated deliverables (often clinical documents or assessment workbooks) against your rubric
- Join calibration sessions with other experts to ensure consistent scoring across the benchmark
Preferred Qualifications
- Registered Nurse (RN), Nurse Practitioner, or similar clinical credential
- Prior hands-on experience in direct patient care, clinical documentation, or care coordination
- Comfort reviewing detailed clinical work product line by line
- Prior experience with AI model training, evaluation, or benchmark development is a plus
What We Offer
At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment. We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in healthcare and clinical work.
Where you can work
This role is 100% remote: you can work from anywhere in the world.
From Rise Data Labs's job posting, checked Oct 18, 2026.
About Rise Data Labs
A small AI-data company recruiting remote contract AI trainers in languages, code, science and business, mostly $15 to $50 an hour.
How it pays: Not stated on its job pages.
Similar open roles
Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you.

Healthcare and Nursing Professionals (opens the job details)
Handshake AI · Domain Experts · Remote· 7mo agoDetails
up to $70/hr
Radiological Health AI Specialist (opens the job details)
Rise Data Labs · Domain Experts · Remote· 1y+ agoDetails
$20–$40/hr
Healthcare Quality Specialist Expert (opens the job details)
AfterQuery · Domain Experts · Remote· 1mo agoDetails
$100/hr
Clinical Mental Health Expert — AI Conversation Evaluation (opens the job details)
Mercor · Domain Experts · Remote· 2w agoDetails
$100/hr
Healthcare experts (Up to $100/hr) (opens the job details)
Turing · Domain Experts · Remote· 1w agoDetails
up to $100/hr
A licensed or credentialed professional?
One profile for every AI training platform. Companies ask us for people with a specific language, country or credential: add yours once, and when a role fits, we introduce you, only with your yes. Free.
Get new Rise Data Labs roles by email
We check the Rise Data Labs job board daily and email you its newest roles each week, plus similar paid roles elsewhere. Free, unsubscribe anytime.