Remote Health Informatics Analyst for AI Training

Alignerr Corp.

Sheffield (TX)

Remoto

USD 34.000 - 62.000

Part-time

4 ore fa
Candidati tra i primi

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Descrizione del lavoro

Alignerr is seeking a Health Informatics Analyst (AI Training) for a remote, hourly contract. You will evaluate AI-generated healthcare content and AI outputs tied to clinical workflows, relying on your expertise in EHRs and health informatics.

You will collaborate with a global team to provide expert feedback, identify data quality gaps, and support improvements in real-world clinical scenarios. Flexible scheduling and freelance-style engagement are offered.

Competenze

  • Experience with healthcare data, EHR systems, or clinical reporting platforms.
  • Strong analytical abilities and a solid foundation in data interpretation and health informatics.
  • Ability to work with clinical, technical, and operational concepts.
  • Detail-oriented with a commitment to accuracy and quality.
  • Able to manage time independently and work remotely.

Mansioni

  • Analyze and evaluate AI-generated healthcare content, clinical data interpretations, and EHR-related outputs for accuracy and quality.
  • Review and assess AI responses related to health information systems, clinical workflows, and operational data.
  • Identify errors, inconsistencies, or gaps in AI-generated healthcare analysis and provide structured, expert feedback.
  • Apply data visualization, reporting, and trend analysis to evaluate AI performance in real-world clinical scenarios.
  • Collaborate asynchronously with a global team of domain experts and AI researchers.

Conoscenze

Healthcare data
EHR systems
Data interpretation
Health informatics
Independent work

Descrizione del lavoro

Alignerr is seeking a Health Informatics Analyst (AI Training) for a remote, hourly contract. You will evaluate AI-generated healthcare content and AI outputs tied to clinical workflows, relying on your expertise in EHRs and health informatics.

You will collaborate with a global team to provide expert feedback, identify data quality gaps, and support improvements in real-world clinical scenarios. Flexible scheduling and freelance-style engagement are offered.

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