Senior Healthcare Data Labeling Specialist
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$40/task
Posted
0d ago
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About this Role
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
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
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
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Valid professional license (MD, DO, RN, etc.)
- Current knowledge of medical standards and practices
Compensation Analysis
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 re
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.