
Ultrasound Image Annotator, Sonographer, Ultrasound Technologist
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Kenya, +2 more countries.
β’ Analyze ultrasound video frames to recognize anatomical structures, tissue boundaries, and acoustic shadows.
β’ Precisely outline and label structures utilizing specialized annotation software and comprehensive guidelines.
β’ Compare images across video frames and reference materials to guarantee accurate and consistent labeling.
β’ Identify and flag unclear or low-quality images instead of making assumptions.
β’ Uphold high standards of accuracy, consistency, and productivity, integrating feedback for continuous improvement.
β’ Engage in training, calibration sessions, and occasional team discussions.
β’ Complete project-specific training and calibration prior to commencing production work.
β’ Work is evaluated against established accuracy and quality standards.
β’ Practical experience in working with and interpreting ultrasound images, preferably as a Sonographer, Ultrasound Technologist, or in a related medical imaging role.
β’ Familiarity with anatomy, especially bone, organ, and skeletal structures, including their appearance on ultrasound.
β’ Understanding of ultrasound image features, such as brightness, depth, tissue boundaries, and acoustic shadowing.
β’ Exceptional attention to detail and the ability to consistently follow precise written instructions.
β’ Comfortable using computers and acquiring new software skills, including tools that require accurate mouse or stylus control.
β’ Professional proficiency in English, both written and spoken.
β’ Ability to work independently, maintain confidentiality, and engage in scheduled training and calibration sessions.
β’ Certification or formal training in sonography, radiography, or a related medical imaging field is a plus.
β’ Experience in musculoskeletal, spine, organ, or pain management ultrasound imaging is beneficial.
β’ Previous experience in medical image annotation, data labeling, or image quality review is advantageous.
β’ Experience working with detailed imaging protocols, reference images, or standardized guidelines is a plus.
β’ Training on the annotation tool and project-specific guidelines.
β’ Flexible schedule.
β’ Part-time engagement welcomed.
β’ Remote work arrangement.
β’ Project-specific training and calibration.
β’ Opportunity to work on AI-powered medical imaging technologies.
β’ Reliable computer with a large, high-resolution monitor, stable high-speed internet connection, mouse or stylus, and private workspace required (equipment provision not stated).
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