Remote Health Informatics Analyst for AI Training

Alignerr Corp.; Raleigh (NC); Remote; USD 55,000 - 83,000; Part time

Job summary

Alignerr Corp. is seeking a Health Informatics Analyst (AI Training) to apply clinical data expertise to improve AI understanding of healthcare information. The role focuses on EHR data, clinical workflows, and data-driven feedback for AI models.

This remote hourly contract offers flexible scheduling (10–40 hours/week) and collaboration with clinical and technical teams to drive data quality and AI performance in healthcare contexts.

Qualifications

• Experience with healthcare data, EHR systems, or clinical reporting platforms.
• Strong analytical skills, including data visualization, trend analysis, and reporting.
• Ability to think critically about clinical workflows and operational data.
• Ability to collaborate with clinical, technical, and operational stakeholders.
• Detail-oriented and reliable when working independently.

Responsibilities

• Analyze and interpret healthcare and EHR data to identify trends, gaps, and opportunities for improvement.
• Evaluate AI-generated outputs related to clinical workflows, health data, and medical decision-making for accuracy and quality.
• Assess health information systems, data pipelines, and reporting tools to ensure they meet clinical and operational standards.
• Prepare structured feedback, dashboards, and recommendations that improve AI performance in healthcare contexts.
• Collaborate asynchronously with technical and clinical teams to drive data-driven improvements.

Skills

Healthcare data analysis

Data visualization

Trend analysis

Reporting

EHR data

Education

Background in health informatics

Tools

Dashboards

Data pipelines

Job description

Alignerr Corp. is seeking a Health Informatics Analyst (AI Training) to apply clinical data expertise to improve AI understanding of healthcare information. The role focuses on EHR data, clinical workflows, and data-driven feedback for AI models.

This remote hourly contract offers flexible scheduling (10–40 hours/week) and collaboration with clinical and technical teams to drive data quality and AI performance in healthcare contexts.