Remote Health Informatics Analyst for AI Training

Alignerr Corp.; Tampa (FL); Remote; USD 55,000 - 96,000; Part time

Job summary

Alignerr is seeking a Health Informatics Analyst to evaluate and improve AI systems trained on healthcare data. You’ll apply EHR knowledge to AI development, reviewing clinical data pipelines and decision-support outputs.

This remote, hourly contract role offers flexible scheduling and opportunity for ongoing work. You will analyze AI-generated outputs, identify inaccuracies, and provide structured feedback to enhance AI understanding of health information.

Qualifications

• Hands-on experience with EHR, clinical data systems, or health information platforms.
• Strong analytical background in healthcare data—reporting, trend analysis, and data quality.
• Familiar with clinical and operational workflows across healthcare settings.
• Able to communicate complex findings clearly in writing.
• Detail-oriented, self-motivated, and reliable.

Responsibilities

• Analyze and evaluate AI-generated outputs related to healthcare data, EHR systems, and clinical workflows.
• Identify errors, gaps, or inaccuracies in how AI interprets or presents health information.
• Provide structured expert feedback to help improve AI accuracy and reliability in health contexts.
• Review and assess data pipelines, reporting logic, and clinical decision-support outputs.
• Work independently and asynchronously on task-based assignments - on your schedule.

Skills

EHR experience

Healthcare data analysis

Clinical workflows

Data quality

Written communication

Detail-oriented

Tools

Epic

Cerner

Tableau

SQL

Job description

Alignerr is seeking a Health Informatics Analyst to evaluate and improve AI systems trained on healthcare data. You’ll apply EHR knowledge to AI development, reviewing clinical data pipelines and decision-support outputs.

This remote, hourly contract role offers flexible scheduling and opportunity for ongoing work. You will analyze AI-generated outputs, identify inaccuracies, and provide structured feedback to enhance AI understanding of health information.