Radiologist
$327K - $409K/yr
... remote contractor workflow across time zones. Prior experience with AI data training/annotation ... Ultrasound/X-ray
Radiologist
$327K - $409K/yr
... remote contractor workflow across time zones. Prior experience with AI data training/annotation ... Ultrasound/X-ray
Remote Ultrasound Annotation information
See salary details
$711.54 - $918.71
12% of jobs
$918.71 - $1.1K
10% of jobs
$1.2K is the 25th percentile. Wages below this are outliers.
$1.1K - $1.3K
7% of jobs
$1.3K - $1.5K
9% of jobs
$1.5K - $1.7K
7% of jobs
The median wage is $1.9K / yr.
$1.7K - $2K
11% of jobs
$2K - $2.2K
11% of jobs
$2.4K is the 75th percentile. Wages above this are outliers.
$2.2K - $2.4K
10% of jobs
$2.4K - $2.6K
11% of jobs
$2.6K - $2.8K
7% of jobs
$2.8K - $3K
6% of jobs
$711
$1.9K
$3K
How much do remote ultrasound annotation jobs pay per week?
As of Aug 27, 2026, the average weekly pay for remote ultrasound annotation in the United States is $1,889.87, according to ZipRecruiter salary data. Most workers in this role earn between $1,221.15 and $2,442.31 per week, depending on experience, location, and employer.
What is remote ultrasound annotation?
Remote ultrasound annotation involves reviewing and labeling ultrasound images or videos from a distance, typically using specialized software. Professionals in this role identify and mark anatomical structures, abnormalities, or other relevant features on the images to help improve medical diagnostics, research, or train artificial intelligence models. This work allows experts to contribute to healthcare projects without being physically present at a medical facility. Remote ultrasound annotation is crucial for developing accurate diagnostic tools and supporting telemedicine initiatives.
What are the key skills and qualifications needed to thrive as a remote ultrasound annotation specialist, and why are they important?
To thrive as a Remote Ultrasound Annotation Specialist, you need a solid understanding of human anatomy, medical imaging, and prior experience with ultrasound interpretation, often supported by a background in radiology or sonography. Familiarity with annotation platforms, DICOM viewers, and image analysis software is typically required, along with any relevant certifications in medical imaging. Attention to detail, strong analytical thinking, and effective communication are crucial soft skills for ensuring accuracy and collaborating with medical teams. These skills and qualifications are vital to produce high-quality, reliable image annotations that support diagnostic and research efforts in healthcare.
What are some common challenges faced when working as a remote ultrasound annotation specialist, and how can they be managed?
One of the main challenges in remote ultrasound annotation is maintaining consistent accuracy and quality across diverse imaging datasets while working independently. Since the work is often asynchronous and involves complex medical images, clear communication with team leads and regular feedback sessions are essential to ensure alignment on annotation guidelines. Additionally, remote specialists may need to develop effective time management strategies to balance annotation volume with attention to detail, and should proactively seek support or clarification when handling unfamiliar cases. Building strong virtual connections with colleagues and participating in regular team check-ins can help mitigate the feeling of isolation and promote shared best practices.
What is the difference between Remote Ultrasound Annotation vs Remote Medical Transcription?
| Aspect | Remote Ultrasound Annotation | Remote Medical Transcription |
|---|---|---|
| Required Credentials | Medical imaging knowledge, certification in ultrasound or radiology | Medical transcription certification or experience |
| Work Environment | Remote, often in healthcare or radiology settings | Remote, healthcare documentation environment |
| Industry Usage | Healthcare, radiology, medical imaging | Healthcare, medical offices, hospitals |
| Common Search/Comparison | Yes | Yes |
Remote Ultrasound Annotation involves analyzing and labeling ultrasound images for medical diagnosis, requiring imaging knowledge. Remote Medical Transcription focuses on converting audio recordings into written reports, emphasizing language and medical terminology skills. Both roles are remote healthcare jobs but differ in their tasks, credentials, and industry focus.
More about Remote Ultrasound Annotation jobs
What cities are hiring for Remote Ultrasound Annotation jobs?
Cities with the most Remote Ultrasound Annotation job openings:
What are the most commonly searched types of Ultrasound Annotation jobs?
The most popular types of Ultrasound Annotation jobs are:
What states have the most Remote Ultrasound Annotation jobs?
States with the most job openings for Remote Ultrasound Annotation jobs include:
What job categories do people searching Remote Ultrasound Annotation jobs look for?
The top searched job categories for Remote Ultrasound Annotation jobs are:
$327K - $409K/yr
Other
Posted 16 days ago
Job description
Radiology AI Content Developer
MD/DO (or equivalent) with completed Radiology residency (Diagnostic Radiology) and board eligibility/certification (or local equivalent).
5+ years of professional experience in radiology practice (academic, community, teleradiology, or subspecialty practice).
Strong clinical reasoning: translating clinical presentations into imaging strategy; constructing and prioritizing differentials based on imaging + context.
Deep understanding of imaging modalities and tradeoffs (sensitivity/specificity, limitations, artifacts, protocol impacts).
Excellent safety judgment: contrast reactions, nephrotoxicity risk, pregnancy considerations, anticoagulation/procedure risks, radiation dose principles.
Exceptional attention to detail when fact-checking and identifying unsafe assumptions, missed "can't-miss" diagnoses, or misleading explanations; minimum C1 English proficiency.
Comfortable evaluating answers for internal consistency (clinical story → modality → findings → impression → next steps), appropriateness by setting (ED vs outpatient vs inpatient), and patient-safety implications.
Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
Prior experience with AI data training/annotation, report QA, peer review, utilization management, or medical editorial work is strongly preferred.
Develop AI Training Content: Create detailed prompts and gold-standard answers across imaging appropriateness, protocols, differential diagnosis, and radiology reporting concepts.
Optimize AI Performance: Evaluate and rank AI responses to improve clinical correctness, safety, clarity, and contextual fit.
Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe imaging recommendations, and bias; validate reliability across patient populations and use cases.
Contrast Safety Radiation Safety Protocol Selection Incidental Findings Evidence-Based Imaging English Clinical Reasoning Imaging Appropriateness Differential Diagnosis CT/MRI/Ultrasound/X-ray