Remote Health Informatics Analyst for AI Training

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

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr is seeking a Health Informatics Analyst (AI Training) to evaluate AI outputs on healthcare data, including EHRs and clinical workflows. You’ll provide expert feedback to improve AI interpretation of health information and review data pipelines and decision-support outputs.

This is a remote, hourly contract role with a flexible schedule and the opportunity for ongoing work. Ideal candidates have hands-on EHR experience, strong healthcare data analytics skills, and the ability to clearly

Qualifications

• Hands-on experience with EHRs and health data systems.
• Analytical background in healthcare data, including reporting and data quality.
• Familiar with clinical and operational workflows across healthcare settings.
• Ability to communicate complex findings clearly in writing.

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

Clinical data systems

Health information platforms

Healthcare data analytics

Data quality

Tools

Epic

Cerner

Tableau

SQL

Job description

Alignerr is seeking a Health Informatics Analyst (AI Training) to evaluate AI outputs on healthcare data, including EHRs and clinical workflows. You’ll provide expert feedback to improve AI interpretation of health information and review data pipelines and decision-support outputs.

This is a remote, hourly contract role with a flexible schedule and the opportunity for ongoing work. Ideal candidates have hands-on EHR experience, strong healthcare data analytics skills, and the ability to clearly