Who we are

At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.

Our culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-driven: We focus on creating economic and social impact.
• People-centric: We care deeply about our team's growth, well-being, and sense of belonging.
• Innovative: We embrace change and find better ways to do things, together.
• Globally connected: We foster collaboration between diverse cultures and perspectives.

If you're ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.

About the role

We're looking for Sonographers, Ultrasound Technologists, and other medical imaging professionals with hands-on ultrasound experience to support an AI-powered medical imaging project.

As an Ultrasound Image Annotator, you will review ultrasound video frames and accurately identify and label anatomical structures and acoustic shadows. Your work will contribute to the development of high-quality datasets used to train and improve AI-powered medical imaging technologies.

This role is ideal for professionals who have experience interpreting ultrasound images, enjoy detail-oriented work, and can consistently follow precise guidelines.

Previous data annotation experience is not required. Training on the annotation tool and project-specific guidelines will be provided.

What you'll do

• Review ultrasound video frames to identify anatomical structures, tissue boundaries, and acoustic shadows.
• Accurately outline and label structures using specialized annotation software and detailed guidelines.
• Compare images across video frames and reference materials to ensure accurate and consistent labeling.
• Identify and flag unclear or low-quality images rather than making assumptions.
• Maintain high standards of accuracy, consistency, and productivity, incorporating feedback to continuously improve.
• Participate in training, calibration sessions, and occasional team discussions.

Requirements

• Hands-on experience working with and interpreting ultrasound images, ideally as a Sonographer, Ultrasound Technologist, or related medical imaging professional.
• Working knowledge of anatomy, particularly bone, organ, and skeletal structures, including how these appear on ultrasound.
• Understanding of ultrasound image characteristics, including brightness, depth, tissue boundaries, and acoustic shadowing.
• Strong attention to detail and the ability to follow precise written instructions consistently.
• Comfort using computers and learning new software, including tools requiring accurate mouse or stylus control.
• Professional proficiency in English, both written and spoken.
• Ability to work independently, maintain confidentiality, and participate in scheduled training and calibration sessions.

Nice to have

• Certification or formal training in sonography, radiography, or a related medical imaging field.
• Experience in musculoskeletal, spine, organ, or pain management ultrasound imaging.
• Previous experience in medical image annotation, data labeling, or image quality review.
• Experience working with detailed imaging protocols, reference images, or standardized guidelines.

Engagement details

• Type: Independent Contractor
• Location: Remote - Kenya, Nepal, Philippines
• Working arrangement: Work remotely on your own schedule, with availability for occasional training, calibration, and coordination sessions.
• Time commitment: Flexible, based on your availability. Part-time engagement is welcome, including for professionals with existing clinical commitments.
• Expected Project duration: 7 months
• Expected start date: November 10, 2026

Equipment requirements: You will need a reliable computer with a large, high-resolution monitor, stable high-speed internet connection, a mouse or stylus suitable for precise annotation, and a private workspace where confidential medical images can be viewed securely.

All selected contractors will complete project-specific training and calibration before beginning production work. Work will be reviewed against established accuracy and quality standards, and continued participation will depend on consistently meeting these expectations.