Nursing Informatics Specialist

Alignerr Corp.; Sheffield (TX); Remote; USD 55,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Job summary

Alignerr Corp. is seeking a Nursing Informatics Specialist (AI Training) to bridge frontline nursing practice with cutting-edge AI systems. You will evaluate AI-generated clinical content, provide feedback on EHR workflows, and help AI teams understand real-world patient care realities.

This remote, hourly contract offers flexibility and the chance to influence how AI interprets nursing care. Ideal candidates are RNs with hands-on patient care, familiar with Epic or Cerner, and able to

Qualifications

• Registered Nurse with hands-on patient care experience.
• Familiarity with EHR systems and clinical documentation workflows.
• Ability to evaluate clinical accuracy and identify real-world gaps in AI content.
• Detail-oriented with clear written communication.
• Able to work independently and asynchronously.
• No prior AI experience required.

Responsibilities

• Evaluate and improve AI-generated clinical content and workflows.
• Review AI outputs for accuracy, safety, and usability in EHR contexts.
• Identify gaps or errors in AI representations of nursing practice.
• Translate clinical workflows into structured feedback for AI teams.
• Assess AI handling of clinical scenarios and standards (Epic, Cerner).
• Flag unsafe or misleading outputs and suggest fixes.

Skills

Nursing background

EHR familiarity

Clinical content evaluation

Written communication

Independent work

Asynchronous work

Tools

Epic

Cerner

Job description

Nursing Informatics Specialist (AI Training)

About The Role

Your clinical expertise is more valuable than ever — not just at the bedside, but in shaping how AI understands healthcare. At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. As a Nursing Informatics Specialist, you'll bring your frontline nursing knowledge directly to that process — helping AI systems understand real clinical workflows, EHR documentation, and patient care data in ways that only a practicing nurse can.

This is a rare opportunity to step into the AI space without leaving your clinical roots behind.

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

What You'll Do

• Apply your nursing knowledge to evaluate and improve AI-generated clinical content, responses, and workflows
• Review AI outputs related to EHR systems, clinical documentation, and patient care for accuracy, safety, and real‑world usability
• Identify gaps, errors, or oversimplifications in how AI represents nursing practice and health informatics
• Translate complex clinical workflows and nursing logic into clear, structured feedback that AI teams can act on
• Assess how well AI handles clinical scenarios, terminology, and documentation standards (e.g., Epic, Cerner)
• Flag clinically unsafe, misleading, or unrealistic outputs and suggest evidence-based improvements

Who You Are

• Registered Nurse (RN) or equivalent clinical background with hands‑on patient care experience
• Familiarity with EHR systems and clinical documentation workflows
• Strong ability to evaluate clinical accuracy and identify real‑world gaps in AI-generated content
• Detail‑oriented with clear written communication skills
• Comfortable working independently and asynchronously
• No prior AI experience required — your clinical expertise is what matters

Nice to Have

• Experience in clinical informatics, health IT, or nursing education
• Background in data annotation, quality review, or clinical evaluation systems
• Familiarity with EHR platforms such as Epic or Cerner
• Interest in how AI is transforming healthcare delivery

Why Join Us

• Work on cutting-edge AI projects with top research labs and AI teams
• Fully remote and flexible — work on your own schedule, as much or as little as you want
• Freelance perks: autonomy, variety, and collaboration with experts across the globe
• Make a meaningful impact on how AI understands and supports clinical care
• Potential for ongoing work and contract extension