Remote Nursing Informatics Specialist for AI Training

Alignerr Corp.

Columbus (OH)

Remote

USD 83,000 - 124,000

Part time

8 days ago

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Benefits offered by this job

Fully remote
Flexible schedule
Potential for contract extension
Autonomy in freelance work

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to help evaluate and improve AI systems for clinical and healthcare environments. Your frontline nursing expertise will shape AI understanding of workflows, EHR documentation, and patient care processes, with flexible remote hours in a freelance capacity.

You will work asynchronously, reviewing clinical data scenarios and providing structured feedback to improve AI accuracy and safety.

Qualifications

  • Registered Nurse (RN) or equivalent clinical background with hands-on patient care experience.
  • Familiar with EHR systems such as Epic, Cerner, or similar platforms.
  • Strong understanding of clinical documentation workflows and nursing informatics principles.

Responsibilities

  • Evaluate AI-generated clinical content, EHR workflows, and health informatics outputs for accuracy, safety, and real-world usability.
  • Identify gaps, errors, or unrealistic assumptions in AI responses related to nursing practice and clinical documentation.
  • Provide structured expert feedback that helps AI systems better reflect how nurses actually work.
  • Review and assess clinical data scenarios, charting examples, and care coordination workflows.
  • Work independently and asynchronously on your own schedule.

Skills

RN background
Clinical documentation
EHR familiarity
Remote work

Tools

Epic
Cerner

Job description

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to help evaluate and improve AI systems for clinical and healthcare environments. Your frontline nursing expertise will shape AI understanding of workflows, EHR documentation, and patient care processes, with flexible remote hours in a freelance capacity.

You will work asynchronously, reviewing clinical data scenarios and providing structured feedback to improve AI accuracy and safety.

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