Senior Healthcare Data Labeling Specialist

Alignerr; United States; Remote; USD 34,000 - 55,000; Part time

Job summary

Alignerr Corp. is seeking a Senior Healthcare Data Labeling Specialist (AI Training) to annotate and quality-review clinical datasets remotely. You will use domain knowledge to label medical terminology, diagnoses, and procedures while ensuring strict guidelines and accuracy.

The role offers flexible hourly contracts, independent workflow, and potential for ongoing engagement based on performance. Prior data labeling and HIPAA awareness are advantageous.

Qualifications

• Healthcare background or clinical informatics required.
• Familiar with EHR systems and clinical documentation.
• High attention to detail and accuracy.
• Ability to work independently and manage workflow.
• Follow annotation guidelines precisely.
• Medical coding experience a plus (ICD, CPT, SNOMED).
• Prior data labeling experience a plus.

Responsibilities

• 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.

Skills

Healthcare knowledge

EHR systems

Attention to detail

Independent work

Annotation guidelines

Medical coding

Data labeling

Job description

Senior Healthcare Data Labeling Specialist (AI Training)

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.

• 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