Nursing Informatics Specialist

Alignerr Corp.; Boston (MA); Remote; USD 55,000 - 110,000; Part time

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to review AI-generated clinical content, focusing on nursing workflows and documentation. You will assess realism against EHR processes and clinical standards, and provide structured feedback to refine AI outputs.

This remote, hourly contract role offers flexible scheduling (10–40 hours/week) for experienced RNs with informatics insight. Prior familiarity with Epic or Cerner enhances effectiveness.

Qualifications

• RN with clinical background and informatics exposure.
• Experience with EHR systems and clinical documentation workflows.
• Strong analytical and written communication skills.

Responsibilities

• Review and evaluate AI-generated content related to clinical workflows, EHRs, and nursing documentation for accuracy.
• Identify gaps, errors, or unrealistic outputs in AI-generated clinical scenarios.
• Translate nursing workflows into structured feedback to improve AI system design.
• Assess health information system concepts and flag inconsistencies with clinical standards.
• Provide detailed written evaluations using structured guidelines and rating frameworks.
• Work independently and asynchronously, with no required meetings.

Skills

RN background

EHR systems knowledge

Analytical skills

Written communication

Independent work

Education

RN license

Tools

Epic

Cerner

Job description

Nursing Informatics Specialist (AI Training)

About The Role

Your clinical knowledge is more valuable than you think — beyond the bedside. We're looking for experienced Registered Nurses with health informatics backgrounds to help train and evaluate AI systems being built for the healthcare space. Your frontline expertise will directly shape how AI understands clinical workflows, EHR systems, and nursing documentation.

This is a fully remote, flexible contract role that lets you apply your nursing knowledge in a new and impactful way - on your own schedule.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10-40 hours/week

What You'll Do

• Review and evaluate AI-generated content related to clinical workflows, EHR systems, and nursing documentation for accuracy and real-world applicability
• Apply your knowledge of nursing practice to identify gaps, errors, or unrealistic outputs in AI-generated clinical scenarios
• Translate nursing workflows and clinical needs into clear, structured feedback that improves AI system design
• Assess health information system concepts and flag inconsistencies with established clinical standards
• Provide detailed written evaluations using structured guidelines and rating frameworks
• Work independently and asynchronously - no meetings required

Who You Are

• Registered Nurse (RN) or equivalent clinical background with hands-on patient care experience
• Experience working with EHR systems such as Epic, Cerner, or similar platforms
• Solid understanding of clinical documentation workflows and nursing informatics principles
• Strong analytical skills - able to spot what looks wrong in a clinical or technical context
• Clear, precise written communication skills
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Prior experience in clinical informatics, health IT, or healthcare data roles
• Background in data annotation, content evaluation, or quality assurance
• Familiarity with AI tools or experience evaluating AI-generated content
• Nursing informatics certification (e.g., RN-BC in Nursing Informatics)

Why Join Us

• Work on cutting-edge AI projects with leading research labs and AI teams
• Fully remote and flexible - work when and how much you want
• Freelance perks: autonomy, variety, and the ability to work around your current schedule
• Use your clinical expertise in a high-impact, forward-looking field
• Potential for ongoing work and contract extension
• Be part of shaping how AI understands and supports healthcare - a contribution that matters