Health Informatics Analyst

Alignerr Corp.; India; Remote; INR 1,240,000 - 2,066,000; Part time

Benefits offered by this job

Fully remote work

Freelance flexibility

Job summary

Alignerr Corp. is seeking a Health Informatics Analyst (AI Training) to help evaluate and improve AI systems that reason about healthcare data, EHRs, and clinical workflows. This remote role offers flexible hours and a chance to impact AI's understanding of health information.

You will work asynchronously, review AI outputs, provide expert feedback, and contribute to healthcare data quality and reporting workflows in a cutting-edge AI environment.

Qualifications

• Hands-on experience with healthcare data, EHRs, or clinical reporting platforms.
• Strong analytical skills including data visualization, trend analysis, and reporting.
• Ability to evaluate technical and clinical content with precision and clarity.
• Comfortable with clinical and operational health data concepts.
• Detail-oriented, reliable, and self-motivated.

Responsibilities

• Evaluate AI-generated responses related to healthcare data, EHR systems, and clinical workflows for accuracy, completeness, and practical relevance.
• Analyze and interpret healthcare and EHR data scenarios to identify errors, gaps, or misleading outputs from AI models.
• Provide structured, expert feedback on AI responses covering data pipelines, clinical reporting, and health information system performance.
• Review and assess AI-generated dashboards, reports, and recommendations for clinical and operational use cases.
• Work independently and asynchronously on your own schedule.

Skills

Healthcare data

EHR systems

Clinical reporting

Job description

Health Informatics Analyst (AI Training)

We're looking for experienced Health Informatics Analysts to help evaluate and improve AI systems that reason about healthcare data, clinical workflows, and electronic health records (EHR). Your domain expertise will directly shape how AI understands and communicates complex health information — making a real impact on one of the most important applications of AI today.

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. This is your opportunity to bring your clinical data knowledge to the frontier of AI development.

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

What You'll Do

• Evaluate AI-generated responses related to healthcare data, EHR systems, and clinical workflows for accuracy, completeness, and practical relevance
• Analyze and interpret healthcare and EHR data scenarios to identify errors, gaps, or misleading outputs from AI models
• Provide structured, expert feedback on AI responses covering topics like data pipelines, clinical reporting, and health information system performance
• Review and assess AI-generated dashboards, reports, and recommendations for clinical and operational use cases
• Work independently and asynchronously on your own schedule

Who You Are

• Hands‑on experience working with healthcare data, EHR systems, or clinical reporting platforms
• Strong analytical background including data visualization, trend analysis, and reporting
• Ability to evaluate technical and clinical content with precision and clarity
• Comfortable working with both clinical and operational health data concepts
• Detail‑oriented, reliable, and self‑motivated

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with health information standards (HL7, FHIR, ICD coding, etc.)
• Background collaborating with clinical, IT, or operational stakeholders
• Prior exposure to AI training or evaluation workflows

Why Join Us

• Work on cutting‑edge AI projects with top research labs and AI teams
• Fully remote and flexible - work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that directly improves how AI handles healthcare data
• Potential for ongoing work and contract extension
• Gain exposure to advanced large language models (LLMs) and how they are trained and evaluated