Nursing Informatics Specialist

Alignerr; Pittsburgh (Allegheny County); Remote; USD 34,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Variety of projects

Meaningful work

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to bring frontline nursing expertise to AI model development. The role is remote, hourly contract, and requires evaluating AI outputs related to healthcare workflows and patient documentation.

You will provide detailed feedback to improve clinical accuracy and AI usability, working asynchronously on task-based assignments. Candidates should be a Registered Nurse or equivalent with hands-on experience with EHR systems like Epic or

Qualifications

• RN or equivalent clinical background with experience in clinical informatics or health IT.
• Hands-on experience with EHR systems such as Epic, Cerner, or similar platforms.
• Strong ability to analyze clinical workflows and documentation practices.

Responsibilities

• Apply clinical nursing knowledge to evaluate and improve AI-generated content related to healthcare workflows, EHR systems, and patient documentation.
• Identify inaccuracies, gaps, or unrealistic scenarios in AI outputs related to nursing informatics.
• Translate real-world nursing workflows and clinical needs into structured, actionable feedback for AI training teams.
• Assess clinical data and documentation quality to flag areas where AI reasoning falls short.
• Provide expert judgement on EHR usability, clinical decision support, and nursing practice standards.

Skills

Clinical informatics experience

Health IT experience

EHR workflow analysis

Independent worker

Education

RN or equivalent

Tools

Epic EHR

Cerner

Job description

Nursing Informatics Specialist (AI Training)

About The Role

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Nursing Informatics Specialists to bring real clinical knowledge to AI development — helping shape how AI understands healthcare workflows, EHR systems, and patient documentation.

Your frontline nursing expertise is exactly what's needed to make AI smarter, safer, and more useful in clinical settings.

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

What You'll Do

• Apply your clinical nursing knowledge to evaluate and improve AI-generated content related to healthcare workflows, EHR systems, and patient documentation
• Identify inaccuracies, gaps, or unrealistic scenarios in AI outputs related to nursing informatics
• Translate real-world nursing workflows and clinical needs into structured, actionable feedback for AI training teams
• Assess clinical data and documentation quality to flag areas where AI reasoning falls short
• Provide expert judgment on EHR usability, clinical decision support, and nursing practice standards
• Work independently and asynchronously on task-based assignments

Who You Are

• Registered Nurse (RN) or equivalent clinical background with experience in clinical informatics or health IT
• Hands-on experience working with EHR systems such as Epic, Cerner, or similar platforms
• Strong ability to analyze clinical workflows and documentation practices
• Comfortable providing detailed, structured written feedback
• Self-motivated and able to work independently on a flexible schedule
• No prior AI experience required — your clinical expertise is what matters

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation workflows
• Background in clinical education, quality improvement, or health informatics leadership
• Familiarity with clinical decision support tools or nursing informatics frameworks

Why Join Us

• Work on cutting-edge AI projects with top research labs shaping the future of healthcare AI
• Fully remote and flexible — work on your own schedule, anywhere
• Freelance perks: autonomy, variety, and meaningful work that leverages your clinical expertise
• Contribute to AI that could improve patient care outcomes at scale
• Potential for ongoing work and contract extension