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Senior Healthcare Data Labeling Specialist

Alignerr

AI & Data Training Contractor
Remote (Global) $30 – $50/hr June 26, 2026

Job description

Senior Healthcare Data Labeling Specialist (AI Training)

About the Role

We're looking for experienced healthcare professionals to help shape the future of clinical AI. As a Senior Healthcare Data Labeling Specialist, you'll apply your domain knowledge to annotate and quality-review complex clinical datasets — directly influencing how AI systems understand and interpret real-world medical information.

This is a fully remote, flexible contract role designed for clinicians, health informaticists, and healthcare data professionals who want to make a meaningful contribution to healthcare AI from wherever they work best.

  • Type: Hourly Contract
  • Location: Remote
  • Commitment: Flexible hours

What You'll Do

  • Annotate complex clinical and electronic health record (EHR) data with precision and consistency
  • Apply domain expertise to interpret and label nuanced medical terminology, diagnoses, procedures, and clinical narratives
  • Perform quality assurance reviews on annotated datasets to ensure accuracy and adherence to guidelines
  • Identify edge cases, ambiguities, and errors in clinical data and flag them with clear, structured feedback
  • Follow detailed annotation guidelines while exercising sound clinical judgment
  • Contribute to improving the overall quality and performance of healthcare AI models

Who You Are

  • Background in healthcare, clinical informatics, nursing, medicine, health information management, or a related field
  • Familiar with EHR systems and clinical documentation practices
  • Strong attention to detail with a commitment to accuracy in every task
  • Comfortable working independently and managing your own workflow
  • Able to follow structured annotation guidelines consistently across large datasets
  • Experience with medical coding (ICD, CPT, SNOMED) is a plus
  • Prior data labeling or annotation experience is a plus, but not required

Nice to Have

  • Experience with NLP, clinical NLP, or health informatics tools
  • Familiarity with HIPAA and healthcare data privacy standards
  • Background in clinical research, medical records, or health data quality

Why Join Us

  • Work on meaningful AI projects that improve how technology understands clinical data
  • Fully remote and asynchronous — work on your own schedule
  • Freelance flexibility: autonomy, variety, and the ability to scale your hours
  • Collaborate with a global team advancing cutting-edge healthcare AI
  • Potential for ongoing work and contract extension based on performance
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