Health Informatics Analyst

Alignerr Corp.; Auckland; Remote; NZD 55,000 - 83,000; Part time

Job summary

Alignerr Corp. seeks a Health Informatics Analyst to apply clinical data expertise to AI training projects. Remote, hourly contract with flexible hours. You will bring deep knowledge of healthcare data, EHR systems, and workflows to improve AI understanding of health information.

You'0ll collaborate with global researchers, annotate datasets, evaluate AI outputs for accuracy, and provide structured feedback to help models reason about health terminology and patient data at scale.

Qualifications

• Experience with healthcare data and EHR systems.
• Ability to interpret clinical data and generate insights.
• Strong written communication of findings.

Responsibilities

• Analyze AI-generated healthcare content for accuracy and quality.
• Annotate healthcare datasets and clinical workflows for AI training.
• Provide structured feedback on AI outputs and relevance.

Skills

Healthcare data

EHR systems

Clinical reporting

Analytical skills

Communication

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