Remote Health Informatics Analyst for AI Evaluation

Alignerr Corp.; Indianapolis (IN); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Freelance perks

Job summary

Alignerr Corp. seeks a Health Informatics Analyst (AI Training) to evaluate AI-generated healthcare content, clinical workflows, and EHR outputs for accuracy. You will review data pipelines and dashboards through a clinical informatics lens, providing expert feedback to help AI systems reason about health data.

The role is a remote, hourly contract offering 10–40 hours per week, with flexible scheduling and the opportunity for ongoing work and extensions.

Qualifications

• Hands-on experience with healthcare data, EHR systems, or clinical reporting platforms.
• Strong analytical skills including data interpretation, trend analysis, and reporting.
• Ability to evaluate health information scenarios clearly and methodically.
• Comfortable collaborating across clinical, technical, and operational contexts.
• Detail-oriented, reliable, and self-motivated.

Responsibilities

• Analyze and evaluate AI-generated healthcare content, clinical workflows, and EHR-related outputs for accuracy and real-world applicability.
• Identify errors, inconsistencies, or gaps in how AI systems interpret health data, clinical documentation, and operational processes.
• Provide structured, expert feedback on AI outputs related to healthcare analytics, reporting, and decision support.
• Review data pipelines, dashboards, and system evaluation scenarios through a clinical informatics lens.
• Work independently and asynchronously on task-based assignments that fit your schedule.

Skills

Healthcare data

EHR systems

Clinical reporting

Job description

Alignerr Corp. seeks a Health Informatics Analyst (AI Training) to evaluate AI-generated healthcare content, clinical workflows, and EHR outputs for accuracy. You will review data pipelines and dashboards through a clinical informatics lens, providing expert feedback to help AI systems reason about health data.

The role is a remote, hourly contract offering 10–40 hours per week, with flexible scheduling and the opportunity for ongoing work and extensions.