Nursing Informatics Specialist for AI Training (Remote)

Alignerr Corp.; Cambridge; Remote; GBP 55,000 - 83,000; Part time

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to apply clinical nursing expertise to evaluate AI-generated content, workflows, and documentation. You will ensure AI models reflect real-world nursing practice and patient care processes, working remotely on a flexible 10–40 hour weekly schedule.

In this independent, freelance‑style role, you’ll review clinical scenarios, provide structured feedback, and collaborate with AI teams to improve model quality while prioritizing

Qualifications

• Registered Nurse with informatics/health IT experience.
• Hands-on familiarity with EHR systems and documentation workflows.
• Strong ability to analyze clinical scenarios and communicate findings in writing.
• Detail-oriented with emphasis on accuracy and patient safety.
• Able to work independently on task-based assignments.

Responsibilities

• Review AI-generated clinical content, workflows, and documentation for accuracy.
• Identify gaps or unsafe assumptions in AI representations of nursing practice and EHRs.
• Translate frontline nursing knowledge into structured feedback for model improvement.
• Assess clinical data scenarios and flag inaccuracies in AI interpretation.
• Provide expert insight on EHR systems and documentation standards.
• Work independently and asynchronously on your own schedule.

Skills

Nursing informatics

EHR proficiency

Clinical documentation

Written communication

Independent work

Education

RN certification

Tools

Epic or Cerner

Job description

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to apply clinical nursing expertise to evaluate AI-generated content, workflows, and documentation. You will ensure AI models reflect real-world nursing practice and patient care processes, working remotely on a flexible 10–40 hour weekly schedule.

In this independent, freelance‑style role, you’ll review clinical scenarios, provide structured feedback, and collaborate with AI teams to improve model quality while prioritizing