Health Informatics Analyst

Alignerr Corp.

Dallas (TX)

Remote

USD 55,000 - 110,000

Part time

1 hour ago
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Benefits offered by this job

Remote work
Flexible schedule

Job summary

Alignerr is seeking a Health Informatics Analyst (AI Training) to review AI-generated healthcare content, assess clinical accuracy, and provide structured feedback based on EHRs, clinical workflows, and health data standards.

This fully remote, hourly contract role offers 10–40 hours per week, asynchronous work, and the chance to shape how AI interprets health information across projects with leading AI research teams.

Qualifications

  • Experience with healthcare data, EHR systems, or clinical reporting platforms.
  • Strong analytical mindset with emphasis on accuracy and data integrity.
  • Familiarity with health data standards and healthcare workflows.
  • Ability to communicate complex findings in writing.
  • Self-motivated and comfortable working remotely.

Responsibilities

  • Analyze and evaluate AI-generated healthcare content for clinical accuracy, logical consistency, and quality.
  • Apply knowledge of EHR systems, clinical workflows, and health data standards to assess and improve AI outputs.
  • Identify errors, gaps, or misleading information in AI-generated responses related to health informatics.
  • Provide structured, detailed feedback using evaluation frameworks and rating rubrics.
  • Contribute to data quality reviews and annotation tasks tied to clinical and operational healthcare scenarios.
  • Work independently and asynchronously on task-based assignments.

Skills

Healthcare data
EHR systems
Clinical reporting
Analytical thinking
Communication of findings

Tools

SQL
Tableau
HL7/FHIR frameworks

Job description

Health Informatics Analyst (AI Training)
About The Role

We're partnering with leading AI research teams to build smarter, more accurate AI systems — and we need health informatics experts to help get it right. As a Health Informatics Analyst, you'll apply your real-world experience with EHR systems and healthcare data to evaluate, improve, and validate AI outputs in the clinical and health information domain.

This is a fully remote, flexible contract role where your domain expertise directly shapes how AI understands and reasons about healthcare.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10-40 hours/week
What You'll Do
  • Analyze and evaluate AI-generated healthcare content for clinical accuracy, logical consistency, and quality
  • Apply your knowledge of EHR systems, clinical workflows, and health data standards to assess and improve AI outputs
  • Identify errors, gaps, or misleading information in AI-generated responses related to health informatics
  • Provide structured, detailed feedback using evaluation frameworks and rating rubrics
  • Contribute to data quality reviews and annotation tasks tied to clinical and operational healthcare scenarios
  • Work independently and asynchronously on task-based assignments
Who You Are
  • Hands-on experience with healthcare data, EHR systems, or clinical reporting platforms
  • Strong analytical mindset with a sharp eye for accuracy and data integrity
  • Familiar with health data standards, clinical terminology, and healthcare workflows
  • Able to communicate complex findings clearly in writing
  • Self-motivated and comfortable working independently in a remote environment
  • No prior AI experience required — your healthcare expertise is what matters
Nice to Have
  • Experience with data annotation, data quality assurance, or evaluation workflows
  • Background in health information management, clinical decision support, or interoperability standards
  • Familiarity with tools like SQL, Tableau, or HL7/FHIR frameworks
Why Join Us
  • Work on cutting-edge AI projects with top AI research labs and teams
  • Fully remote and flexible — work on your schedule, from anywhere
  • Freelance perks: autonomy, variety, and collaboration with a global network of experts
  • Put your healthcare expertise to meaningful use at the frontier of AI development
  • Potential for ongoing work and contract extension
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