Nursing Informatics Specialist

Alignerr Corp.; Cambridge; Remote; GBP 55,000 - 103,000; Part time

Benefits offered by this job

Fully remote work

Flexible schedule

Freelance opportunities

Global collaboration

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to apply real-world nursing expertise to ensure healthcare AI models reflect authentic clinical workflows and documentation. The role is remote, offering flexible hours between 10 and 40 per week, and involves evaluating AI-generated clinical content and documentation for accuracy.

You will translate frontline nursing knowledge into concrete feedback to improve AI model quality, with emphasis on EHR standards and patient safety.

Qualifications

• Registered nurse with informatics or health IT experience.
• Hands-on familiarity with EHR systems and clinical documentation workflows.
• Strong written communication and ability to convey findings clearly.

Responsibilities

• Review and evaluate AI-generated clinical content and workflows for accuracy and real-world applicability.
• Identify gaps, errors, or unsafe assumptions in AI representations of nursing practice and EHR systems.
• Translate frontline nursing knowledge into structured feedback to improve AI model quality.
• Assess clinical data scenarios and flag inaccuracies in AI interpretation of health information.
• Provide expert insight on EHR systems (e.g., Epic, Cerner) and clinical documentation standards.
• Work independently and asynchronously on task-based assignments.

Skills

Nursing informatics

EHR familiarity

Clinical documentation workflows

Written communication

Independent work

Tools

Epic

Cerner

Job description

Nursing Informatics Specialist (AI Training)

Your clinical knowledge is more valuable than you think — beyond the bedside. We're looking for Nursing Informatics Specialists to help evaluate and improve AI systems being trained on healthcare and clinical content. You'll apply your real-world nursing expertise to ensure AI understands clinical workflows, EHR documentation, and patient care processes the way nurses actually experience them.

This is a unique opportunity to shape the future of healthcare AI — without leaving your home.

About The Role

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

What You'll Do

• Review and evaluate AI-generated clinical content, workflows, and documentation for accuracy and real-world applicability
• Identify gaps, errors, or unsafe assumptions in how AI represents nursing practice and EHR systems
• Translate frontline nursing knowledge into structured feedback that directly improves AI model quality
• Assess clinical data scenarios and flag inaccuracies in how AI interprets or presents health information
• Provide expert insight on EHR systems (such as Epic or Cerner) and clinical documentation standards
• Work independently and asynchronously on your own schedule

Who You Are

• Registered Nurse (RN) or equivalent clinical background with experience in informatics or health IT
• Hands-on familiarity with EHR systems and clinical documentation workflows
• Strong ability to analyze clinical scenarios and communicate findings clearly in writing
• Detail-oriented with a commitment to accuracy and patient safety
• Comfortable working independently on task-based assignments
• No prior AI experience required — your clinical expertise is what matters

Nice to Have

• Experience in clinical informatics, health IT implementation, or workflow optimization
• Background in data annotation, quality assurance, or evaluation roles
• Familiarity with AI tools or language model evaluation workflows
• Specialty experience in areas such as critical care, med-surg, or perioperative nursing

Why Join Us

• Work on cutting-edge AI projects with leading research labs and AI teams
• Fully remote and flexible — work on your own schedule, 10–40 hours/week
• Freelance perks: autonomy, variety, and global collaboration
• Apply your nursing expertise in a brand-new way beyond traditional clinical settings
• Contribute to meaningful work that improves how AI serves healthcare professionals and patients
• Potential for ongoing work and contract extension