Health Informatics Analyst

Alignerr; Auckland; Remote; NZD 32,000 - 62,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. is seeking a Health Informatics Analyst (AI Training) to apply clinical data expertise to cutting-edge AI projects. This remote hourly contract role focuses on healthcare data, EHR systems, and clinical workflows to help shape how AI models understand health information.

You will analyze AI outputs, identify errors in healthcare data, review datasets, and provide expert feedback. Work with a global team of researchers to improve AI terminology and workflows.

Qualifications

• Experience with healthcare data, EHR systems, and clinical reporting.
• Strong analytical skills with data interpretation and trend analysis.
• Ability to communicate findings clearly in written form.

Responsibilities

• Analyze and evaluate AI-generated healthcare content for accuracy.
• Identify errors, gaps, and areas for improvement in AI responses.
• Review and annotate healthcare datasets, clinical documentation, and medical workflows.
• Provide structured, expert feedback on accuracy and relevance of AI outputs.
• Collaborate asynchronously with a global team of domain experts and AI researchers.

Skills

Healthcare data analysis

EHR systems knowledge

Clinical workflows

Data interpretation

Analytical reporting

Education

Bachelor's in Health Informatics

HL7/FHIR certification

Tools

HL7

FHIR

ICD coding

Annotation platforms

Job description

Health Informatics Analyst (AI Training)

About The Role

We're looking for Health Informatics Analysts to apply their clinical data expertise to cutting-edge AI projects. At Alignerr, we partner with the world's leading AI research teams to build smarter, more accurate AI models — and your deep knowledge of healthcare data, EHR systems, and clinical workflows is exactly what we need.

This is a unique opportunity to sit at the intersection of healthcare and artificial intelligence, contributing domain expertise that directly shapes how AI understands and reasons about health information.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Analyze and evaluate AI-generated healthcare content, clinical data outputs, and EHR-related information for accuracy and quality
• Apply your expertise in health information systems to identify errors, gaps, and areas for improvement in AI responses
• Review and annotate healthcare datasets, clinical documentation, and medical workflows to support AI training
• Provide structured, expert feedback on the accuracy, completeness, and clinical relevance of AI outputs
• Collaborate asynchronously with a global team of domain experts and AI researchers
• Contribute to improving how AI models understand clinical terminology, patient data, and healthcare processes

Who You Are

• Experienced with healthcare data, EHR systems, or clinical reporting platforms
• Strong analytical skills with a background in data interpretation, reporting, or trend analysis
• Familiar with clinical and administrative workflows in healthcare settings
• Able to communicate findings clearly and concisely in written form
• Detail-oriented, reliable, and comfortable working independently
• Able to evaluate complex information systematically and at scale

Nice to Have

• Experience with data annotation, data quality review, or evaluation frameworks
• Background in health informatics, clinical informatics, or biomedical data science
• Familiarity with interoperability standards such as HL7, FHIR, or ICD coding systems
• Prior exposure to AI, machine learning, or LLM evaluation workflows

Why Join Us

• Work on impactful AI projects with top-tier research labs and teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Gain firsthand exposure to advanced large language models and how they're trained
• Meaningful work that improves how AI handles healthcare information
• Potential for ongoing work and contract extension