Remote Health Informatics Analyst — AI Training

Alignerr Corp.

Portugal

Remote

EUR 34,000 - 55,000

Part time

41 hours ago
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Benefits offered by this job

Autonomy
Global collaboration
Flexible hours

Job summary

Alignerr is seeking a Health Informatics Analyst to apply clinical data expertise to AI training from a fully remote position. You will evaluate AI-generated healthcare content for clinical accuracy and data quality, focusing on how AI interprets health information and integrates with EHR workflows.

This role offers flexible, contract-based work with 10–40 hours per week, remote collaboration with global teams, and the chance to shape AI systems used across healthcare settings.

Qualifications

  • Experience with healthcare data, EHR systems, or clinical reporting.
  • Strong data interpretation and trend analysis skills.
  • Ability to evaluate health information clearly and systematically.
  • Excellent written communication.

Responsibilities

  • Analyze and evaluate AI-generated healthcare content for clinical accuracy, logical consistency, and data quality.
  • Review AI outputs related to EHR systems, clinical workflows, and health data pipelines.
  • Identify errors, gaps, or misleading information in AI-generated health informatics content.
  • Provide structured, expert feedback using clear evaluation frameworks.
  • Help train AI models to better understand healthcare data, terminology, and operational contexts.
  • Work independently and asynchronously on your own schedule.

Skills

Healthcare data
EHR systems
Clinical reporting
Data analysis

Tools

HL7
FHIR
ICD coding

Job description

Alignerr is seeking a Health Informatics Analyst to apply clinical data expertise to AI training from a fully remote position. You will evaluate AI-generated healthcare content for clinical accuracy and data quality, focusing on how AI interprets health information and integrates with EHR workflows.

This role offers flexible, contract-based work with 10–40 hours per week, remote collaboration with global teams, and the chance to shape AI systems used across healthcare settings.

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