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

Visible Hands; Delhi; Remote; INR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Job summary

Rise Data Labs is seeking a Healthcare/Nursing AI Training Specialist to remotely craft realistic clinical tasks and rubrics, and to evaluate AI outputs in healthcare contexts. This contract role emphasizes accurate clinical reasoning and detailed documentation, with collaboration during calibration sessions to align benchmarking standards.

The ideal candidate will combine direct patient care experience with a background in AI training or evaluation, contributing to high-quality AI training data

Qualifications

• RN or equivalent credential required.
• Hands-on patient care and clinical documentation experience.
• Experience reviewing clinical work products in detail.
• Experience with AI model training or benchmark development is a plus.

Responsibilities

• Create realistic clinical scenarios based on professional experience (patient assessment, care planning, vital signs, lab trends, medication management).
• Provide reference materials such as redacted charts and care plans.
• Write rubrics detailing what constitutes a correct, clinically sound deliverable.
• Grade AI-generated deliverables against rubrics.
• Join calibration sessions to ensure scoring consistency across benchmarks.

Skills

Nursing credential (RN/NP)

Clinical documentation

Care coordination

Clinical review of documents

Education

Nursing qualification (RN/NP)

Tools

AI model evaluation

Benchmark development

Job description

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

Remote

Contract

About this opportunity.

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.