Nursing Informatics Specialist

Alignerr Corp.; Indianapolis (IN); Remote; USD 41,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) who is a Registered Nurse or clinically experienced informatics professional. You will train and evaluate AI systems for healthcare, focusing on accuracy, safety, and alignment with real nursing workflows.

This remote, flexible contract lets you set your schedule. You will review AI outputs, annotate clinical scenarios, and provide structured feedback to improve model quality, while leveraging your familiarity with Epic, Cerner,

Qualifications

• Registered Nurse (RN) or equivalent clinical background with active or recent practice experience.
• Familiarity with EHR systems (Epic, Cerner) and clinical documentation workflows.
• Strong analytical mindset and ability to spot inaccuracies and explain why they matter.

Responsibilities

• Evaluate AI-generated clinical content for accuracy, safety, and alignment with real nursing workflows.
• Review and annotate healthcare scenarios, EHR documentation examples, and clinical decision pathways.
• Identify gaps, errors, or unsafe outputs in AI responses related to nursing practice.
• Translate hands-on clinical experience into structured feedback to improve AI model quality.
• Assess how well AI systems reflect real-world use of EHR platforms like Epic or Cerner.
• Work independently and asynchronously on task-based assignments.

Skills

RN background

EHR familiarity

Analytical mindset

Written communication

Independent work

Education

RN license

Tools

Epic

Cerner

Job description

Nursing Informatics Specialist (AI Training)

Your clinical expertise is more valuable than ever — and not just at the bedside. We're looking for experienced Registered Nurses and clinical informatics professionals to help train and evaluate AI systems designed for healthcare environments.

At Alignerr, we partner with the world's leading AI research labs to build models that understand real-world clinical workflows, EHR documentation, and health data. Your frontline nursing knowledge will directly shape how AI interprets and supports patient care — making healthcare AI safer, smarter, and more accurate.

This is a fully remote, flexible contract role. You set your schedule.

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

What You'll Do

• Evaluate AI-generated clinical content for accuracy, safety, and alignment with real nursing workflows
• Review and annotate healthcare scenarios, EHR documentation examples, and clinical decision pathways
• Identify gaps, errors, or unsafe outputs in AI responses related to nursing practice
• Translate your hands-on clinical experience into structured feedback that improves AI model quality
• Assess how well AI systems reflect real-world use of EHR platforms like Epic or Cerner
• Work independently and asynchronously — on your own schedule

Who You Are

• Registered Nurse (RN) or equivalent clinical background with active or recent practice experience
• Familiarity with EHR systems (e.g., Epic, Cerner) and clinical documentation workflows
• Strong analytical mindset — able to spot inaccuracies and explain why they matter
• Clear written communication skills with the ability to provide structured, actionable feedback
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience in clinical informatics, health IT, or nursing education
• Background in data annotation, quality assurance, or clinical auditing
• Familiarity with AI tools or language model evaluation
• Specialty experience in areas such as critical care, emergency nursing, or med-surg

Why Join Us

• Work on cutting-edge AI projects with top healthcare and research organizations
• Fully remote and flexible — work from anywhere, on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful contribution to AI systems that impact patient safety and care quality
• Gain exposure to how advanced AI models are built and trained in healthcare contexts
• Potential for ongoing work and contract extension