Nursing Informatics Specialist
Alignerr
Mumbai, Maharashtra, IndiaFresher4m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- EHR / EMRSystem design
- Nice to have
- Patient care
- Work
- On-site in Mumbai
- Pay
- Not stated by the employer.
- Skill demand
- Patient care32%EHR / EMR10%System design5%of 99 similar fresher jobs posted in India this week
- Listed
- 5 Nov 2026 · still open
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About the Role
Your clinical experience is valuable for the future of AI in healthcare. We are looking for Nursing Informatics Specialists to evaluate and improve AI systems built around clinical workflows, health information systems, and electronic health records. This is a fully remote, flexible contract role.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Key Responsibilities
- Evaluate AI-generated clinical content, EHR workflows, and health informatics outputs for accuracy, safety, and real-world applicability.
- Translate nursing workflows and clinical knowledge into clear, actionable feedback to improve AI systems.
- Identify gaps, errors, or unrealistic assumptions in AI-generated clinical documentation and system designs.
- Assess how well AI tools reflect actual nursing practice, patient safety standards, and documentation best practices.
- Provide structured, expert-level feedback using rating scales and written commentary.
- Work independently and asynchronously on your own schedule.
Requirements & Tech Stack
- Registered Nurse (RN) or equivalent clinical background with hands-on patient care experience.
- Familiarity with EHR systems such as Epic, Cerner, or similar platforms.
- Experience in clinical informatics, health IT, or nursing documentation workflows.
- Strong ability to analyze clinical scenarios and communicate findings clearly in writing.
- Detail-oriented, reliable, and comfortable working independently.
- No prior AI experience required.
Nice to Have
- Background in nursing informatics, clinical systems implementation, or health data quality.
- Experience with data annotation, clinical evaluation, or quality improvement projects.
- Exposure to AI tools or digital health technology.