Remote Health Informatics Analyst for AI Training

Alignerr Corp.; Charlotte (AR); Remote; USD 39,000 - 62,000; Part time

Job summary

Alignerr Corp. is seeking a Health Informatics Analyst (AI Training) to evaluate AI systems trained on healthcare data and influence how AI comprehends and communicates health information. You will work with leading AI teams to impact healthcare AI development.

This remote hourly contract role offers flexible hours (10–40 hours/week) and collaboration with top research labs. Strong healthcare data and analytics background is encouraged.

Qualifications

• Hands-on experience working with healthcare data, EHR systems, or clinical reporting platforms.
• Strong analytical skills including data visualization, trend analysis, and reporting.
• Ability to evaluate the accuracy and clinical relevance of AI-generated health content.
• Comfortable collaborating across clinical, technical, and operational areas.
• Detail-oriented and consistent in applying evaluation guidelines.

Responsibilities

• Analyze and evaluate AI-generated healthcare content, EHR data interpretations, and clinical workflow recommendations for accuracy and quality
• Identify errors, gaps, or unsafe outputs in AI responses related to health informatics topics
• Provide structured, expert feedback on how AI handles healthcare data, system performance questions, and clinical decision support scenarios
• Review and assess AI outputs involving health information systems, data pipelines, and reporting tools
• Work independently and asynchronously on your own schedule

Skills

Healthcare data experience

Data visualization

EHR systems familiarity

AI evaluation

Tools

HL7

FHIR

ICD coding

Job description

Alignerr Corp. is seeking a Health Informatics Analyst (AI Training) to evaluate AI systems trained on healthcare data and influence how AI comprehends and communicates health information. You will work with leading AI teams to impact healthcare AI development.

This remote hourly contract role offers flexible hours (10–40 hours/week) and collaboration with top research labs. Strong healthcare data and analytics background is encouraged.