Healthcare/Nursing AI Training Specialist — Task Creation & Model Evaluation

Rise Data Labs; Philippines; On-site; PHP 400,000 - 700,000; Full time

Benefits offered by this job

Flexible working environment

Professional development in AI field

Job summary

Rise Data Labs is seeking a Healthcare/Nursing AI Training Specialist in the Philippines. You will craft clinical scenarios, write rubrics, and grade AI outputs against benchmarks to improve AI in healthcare documentation and care planning.

Ideal candidates hold RN or NP credentials with direct patient care experience and comfort with AI training or evaluation. Flexible, growth-oriented role with opportunities to contribute to ML benchmarks.

Qualifications

• RN or Nurse Practitioner credential required.
• Hands-on clinical care experience.
• Familiarity with AI model training or benchmarking is a plus.

Responsibilities

• Create realistic clinical scenarios and rubrics based on professional experience.
• Grade AI-generated deliverables against rubric with clinical accuracy.
• Review reference materials and ensure consistency in scoring.

Skills

Clinical experience

Attention to detail

AI training experience

Education

RN or NP credential

Job description

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.

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.