Health Informatics Analyst

Job summary

Analyze healthcare and EHR data, evaluate AI-generated content related to clinical workflows and health information systems, and assess data pipelines and reporting tools. Provide structured evaluations and recommendations while collaborating asynchronously with AI researchers and subject matter experts.

Job details

Health Informatics Analyst (AI Training) About The Role Your expertise in healthcare data and EHR systems is in high demand — not just in hospitals, but on the cutting edge of AI. At Alignerr, we partner with the world's leading AI research labs to build smarter, more accurate AI models. As a Health Informatics Analyst, you'll apply your clinical data knowledge to help train and evaluate AI systems that are transforming how healthcare information is understood and used. This is a fully remote, flexible contract role that lets you contribute to meaningful AI work on your own schedule. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Analyze and interpret healthcare and EHR data to identify trends, gaps, and opportunities for improvement Evaluate AI-generated outputs related to clinical workflows, health information systems, and operational data for accuracy and quality Assess and provide structured feedback on data pipelines, reporting tools, and health informatics content Prepare clear, well-reasoned evaluations and recommendations based on your domain expertise Collaborate asynchronously with a global team of subject matter experts and AI researchers Who You Are Experienced working with healthcare data, EHR systems, or clinical reporting platforms Strong analytical thinker with skills in data interpretation, reporting, and trend analysis Able to communicate complex clinical and operational findings in clear, structured formats Comfortable working independently on task-based assignments Detail-oriented with a commitment to data accuracy and quality Nice to Have Experience with data annotation, data quality assurance, or evaluation workflows Familiarity with health IT standards (HL7, FHIR, ICD coding, etc.) Background in clinical informatics, population health, or healthcare analytics Prior exposure to AI or machine learning projects Why Join Us Work on cutting-edge AI projects with top research labs and teams Fully remote and flexible — work when and where it suits you Freelance perks: autonomy, variety, and global collaboration Put your specialized healthcare expertise to work in a high-impact, forward-looking field Potential for ongoing work and contract extension

What you’ll do

Analyze healthcare and EHR data, evaluate AI-generated content related to clinical workflows and health information systems, and assess data pipelines and reporting tools. Provide structured evaluations and recommendations while collaborating asynchronously with AI researchers and subject matter experts.

Requirements

Candidates should have experience with healthcare data, EHR systems, or clinical reporting platforms, along with strong analytical, data interpretation, and communication skills. They should be detail-oriented, able to work independently, and committed to data accuracy; experience with annotation, health IT standards, or AI projects is an advantage.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Global Collaboration
• Potential for Ongoing Work and Contract Extension

Listed skills

• Health · Preferred
• Reporting · Preferred
• Accuracy · Preferred
• Flexible · Preferred
• Analytical · Preferred
• Collaboration · Preferred
• Detail-oriented · Preferred
• analysis · Preferred
• Assurance · Preferred
• Communication · Preferred
• Data analysis · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Healthcare Data Analysis
• Electronic Health Record Systems
• Clinical Reporting
• Data Interpretation
• Trend Analysis
• Data Quality Assurance
• AI Output Evaluation
• Clinical Informatics
• Health Information Systems
• Data Pipelines
• Reporting Tools
• Structured Feedback
• HL7
• FHIR
• ICD Coding
• Population Health

Job areas

• Healthcare
• Data & Analytics
• Technology
• Science & Research

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