Healthcare Ai Annotation information
See salary details
$30.5K - $39.7K
4% of jobs
$39.7K - $48.9K
7% of jobs
$71.2K is the 25th percentile. Wages below this are outliers.
$67.2K - $76.4K
4% of jobs
$76.4K - $85.6K
7% of jobs
The median wage is $91.9K / yr.
$85.6K - $94.8K
22% of jobs
$108.4K is the 75th percentile. Wages above this are outliers.
$104K - $113.1K
20% of jobs
$113.1K - $122.3K
6% of jobs
$122.3K - $131.5K
8% of jobs
How much do healthcare ai annotation jobs pay per year?
As of Sep 15, 2026, the average yearly pay for healthcare ai annotation in the United States is $88,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $111,500.00 per year, depending on experience, location, and employer.
Healthcare AI annotation is the process of labeling medical data—such as images, text, or audio—with relevant information that can be used to train artificial intelligence models. This often involves identifying and marking features like tumors in medical scans, classifying diseases in X-rays, or tagging clinical terms in patient records. Accurate annotation is essential because it helps AI systems learn to recognize patterns and make predictions that assist healthcare professionals in diagnosis, treatment, and research. The work may be performed by medical experts, trained annotators, or a combination of both, depending on the complexity of the task.
To thrive as a Healthcare AI Annotation Specialist, you need a solid understanding of medical terminology, data labeling best practices, and attention to detail, often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, image labeling tools, and sometimes HIPAA compliance training is typically required. Strong communication, critical thinking, and collaboration skills help ensure accuracy and alignment with project goals. These skills are crucial for producing high-quality data that underpins reliable AI models in healthcare, directly impacting patient outcomes and system effectiveness.
Healthcare AI Annotation specialists often encounter challenges such as interpreting complex medical data, maintaining high accuracy in labeling, and managing large volumes of sensitive information. To address these issues, it’s important to stay updated on medical terminology, follow strict data privacy protocols, and collaborate closely with medical experts and data scientists. Regular training and quality assurance checks also help ensure that annotations contribute effectively to developing reliable AI models.
What are popular job titles related to Healthcare Ai Annotation jobs?
For Healthcare Ai Annotation jobs, the most frequently searched job titles are:
