Remote Health Informatics Analyst for AI Training

Alignerr Corp.; Chicago (IL); On-site; USD 41,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking Health Informatics Analysts to apply clinical data expertise to AI training. This is a fully remote, flexible hourly contract that lets you work on your schedule and terms.

You will analyze healthcare and EHR data to identify trends, evaluate AI-generated content for accuracy, and provide structured feedback across clinical workflows. Work asynchronously for 10-40 hours per week, with potential for ongoing engagements and collaboration across clinical, technical, and

Qualifications

• Experience working with healthcare data, EHR systems, or clinical reporting platforms.
• Strong analytical thinker with skills in data interpretation, visualization, and trend analysis.
• Ability to work asynchronously and manage workload independently.

Responsibilities

• Analyze and interpret healthcare and EHR data to identify trends, patterns, and insights relevant to AI training tasks.
• Evaluate AI-generated clinical and operational content for accuracy, completeness, and real-world applicability.
• Assess health information systems, data pipelines, and reporting logic to ensure outputs are accurate and well-structured.
• Provide expert feedback on AI responses related to clinical workflows, healthcare terminology, and health data concepts.
• Create structured evaluations and annotations that help AI models learn from domain expertise.

Skills

Healthcare data

EHR systems

Clinical reporting

Data interpretation

Visualization

Trend analysis

Independent work

Cross-functional collaboration

Job description

Alignerr is seeking Health Informatics Analysts to apply clinical data expertise to AI training. This is a fully remote, flexible hourly contract that lets you work on your schedule and terms.

You will analyze healthcare and EHR data to identify trends, evaluate AI-generated content for accuracy, and provide structured feedback across clinical workflows. Work asynchronously for 10-40 hours per week, with potential for ongoing engagements and collaboration across clinical, technical, and