Remote Health Informatics Analyst for AI Training

Alignerr Corp.

Denver (CO)

À distance

USD 41 000 - 83 000

Temps partiel

Il y a 7 heures
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Avantages offerts par ce poste

Fully remote
Flexible schedule
Freelance opportunities

Résumé du poste

Alignerr is seeking a Health Informatics Analyst (AI Training) to evaluate AI-generated healthcare content, data interpretations, and clinical workflow recommendations. You’ll apply EHR and health informatics knowledge to assess AI understanding of clinical data scenarios.

This is a remote, hourly contract offering 10–40 hours per week. Join a team providing structured feedback and contributing to safer, more accurate healthcare AI systems.

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 technical and clinical content with precision and consistency.
  • Clear written communication skills.

Responsabilités

  • Review and evaluate AI-generated healthcare content, data interpretations, and clinical workflow recommendations for accuracy and quality.
  • Assess how well AI understands clinical and operational data scenarios using EHR knowledge.
  • Identify errors, gaps, or unsafe reasoning in AI outputs related to healthcare systems and data pipelines.
  • Provide structured, expert feedback using clear rating rubrics and annotations.
  • Work independently and asynchronously on your own schedule.

Connaissances

Healthcare data
EHR systems
Clinical reporting
Analytical skills
Written communication

Outils

HL7
FHIR

Description du poste

Alignerr is seeking a Health Informatics Analyst (AI Training) to evaluate AI-generated healthcare content, data interpretations, and clinical workflow recommendations. You’ll apply EHR and health informatics knowledge to assess AI understanding of clinical data scenarios.

This is a remote, hourly contract offering 10–40 hours per week. Join a team providing structured feedback and contributing to safer, more accurate healthcare AI systems.

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