Remote Nursing AI Training & Evaluation Specialist

Alignerr Corp.; Seattle (WA); Remote; USD 83,000 - 124,000; Part time

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to join a fully remote, hourly contract. You will apply frontline nursing knowledge and health IT expertise to train AI models, evaluate clinical content, and refine how AI understands EHR workflows and patient care contexts.

You will work asynchronously 10–40 hours/week, contribute to safety and accuracy, and collaborate with AI teams on feedback for clinical datasets and documentation practices.

Qualifications

• Registered Nurse (RN) or equivalent clinical background with informatics/health IT exposure.
• Hands-on experience with EHR systems and clinical documentation workflows.
• Ability to analyze clinical scenarios and translate insights into actionable feedback for AI teams.
• Detail-oriented with strong critical evaluation of content.
• Comfortable working independently in a remote, task-based environment.

Responsibilities

• Evaluate AI-generated clinical content, documentation, and workflows for accuracy, safety, and real-world applicability.
• Identify gaps or errors in how AI represents nursing practice or patient care scenarios.
• Translate clinical knowledge into structured feedback for AI development teams.
• Review and annotate clinical datasets, flag inconsistencies or areas where AI responses fall short of standards.
• Provide expert insight on EHR systems (e.g., Epic, Cerner) and how AI tools can better support clinical documentation.
• Work independently and asynchronously on your own schedule.

Skills

Nurse RN background

Informatics/Health IT

EHR workflows

Clinical documentation

Remote work discipline

Education

Nursing degree or equivalent

Tools

Epic

Cerner

Job description

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to join a fully remote, hourly contract. You will apply frontline nursing knowledge and health IT expertise to train AI models, evaluate clinical content, and refine how AI understands EHR workflows and patient care contexts.

You will work asynchronously 10–40 hours/week, contribute to safety and accuracy, and collaborate with AI teams on feedback for clinical datasets and documentation practices.