Remote Medical Ai Trainer information
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$13.46 - $18.03
18% of jobs
$21.11 is the 25th percentile. Wages below this are outliers.
$18.03 - $22.60
11% of jobs
$22.60 - $27.16
9% of jobs
The median wage is $29.66 / hr.
$27.16 - $31.73
22% of jobs
$34.83 is the 75th percentile. Wages above this are outliers.
$31.73 - $36.30
22% of jobs
$36.30 - $40.87
7% of jobs
$40.87 - $45.43
7% of jobs
$54.57 - $59.13
0% of jobs
$59.13 - $63.70
1% of jobs
How much do remote medical ai trainer jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for remote medical ai trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.
To thrive as a Remote Medical AI Trainer, you need a background in healthcare or medicine, strong analytical skills, and familiarity with medical terminology and clinical workflows. Experience with AI annotation tools, EHR systems, or machine learning platforms, along with relevant certifications such as RHIA or clinical coding, is often required. Attention to detail, clear written communication, and the ability to collaborate virtually are standout soft skills in this role. These competencies are crucial for ensuring accurate data labeling, effective model training, and seamless integration of AI solutions into real-world medical settings.
Remote Medical AI Trainers frequently work alongside medical experts, such as physicians or radiologists, to ensure the accuracy and relevance of annotated medical data. They also collaborate with data scientists and AI engineers to provide feedback on model performance and clarify complex medical concepts. Effective communication and attention to detail are essential, as trainers bridge the gap between clinical knowledge and technical development. Regular virtual meetings, shared documentation platforms, and feedback loops are common tools used to maintain alignment and project progress.
A Remote Medical AI Trainer is a professional who works remotely to help develop and improve artificial intelligence systems used in healthcare. They label, review, and curate medical data, such as images, clinical notes, or patient records, to train machine learning models for tasks like diagnosis, data extraction, or workflow automation. This role typically requires a background in healthcare, medical terminology, and sometimes experience with data annotation tools. Remote Medical AI Trainers play a crucial role in ensuring that AI systems are accurate and reliable for real-world clinical use.
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