Medical Imaging Clinician Annotator

The work

You will help build a medical image segmentation dataset by marking regions in images that match specified medical terms. The work is completed remotely in a browser-based annotation tool, with no software installation required.

The dataset covers multiple imaging modalities, medical specialties, and anatomical regions.

• Identify and outline image regions using boundary boxes or contours.
• Match image regions to specified medical terms.
• Check image metadata, including imaging modality, medical specialty, and anatomical region.
• Complete a three-minute tutorial that explains the annotation workflow.

What it pays and takes

This is expert-level, part-time contract work for qualified clinicians. The project is open worldwide and may suit people who can contribute flexibly over an extended period.

• Pay: $30 to $55 per hour.
• Time: Less than 20 hours per week.
• Location: Open worldwide.
• Work type: Part-time contract.
• Requirement: Qualified clinical experience relevant to medical imaging annotation.
• Availability: Flexible availability and the possibility of contributing over an extended period.

How it works

Apply on OpenTrain. The employer reviews applications there.

About AI training work

AI training is the human work behind artificial intelligence, including preparing and reviewing images, text, and other data. Medical knowledge helps create more accurate training examples for systems that work with clinical information.

Where you can work

This role is 100% remote: you can work from any country except Andorra, Afghanistan, Barbados, Burkina Faso, Burundi, Brazil, Belarus, Belize, DR Congo, Central African Republic, Congo (Republic), Cameroon, China, Cuba, Cape Verde, Djibouti, Dominica, Eritrea, Fiji, Micronesia, Grenada, Georgia, Guinea, Equatorial Guinea, Guinea-Bissau, Honduras, Haiti, Iraq, Iran, Kyrgyzstan, Kiribati, Comoros, St. Kitts and Nevis, North Korea, Lebanon, Liberia, Lesotho, Libya, Montenegro, Marshall Islands, Mali, Myanmar, Mauritania, Maldives, Malawi, Nicaragua, Nepal, Nauru, Papua New Guinea, Palestine, Palau, Russia, Solomon Islands, Seychelles, Sudan, Sierra Leone, Somalia, Suriname, South Sudan, São Tomé and Príncipe, Syria, Eswatini, Chad, Togo, Tajikistan, Timor-Leste, Turkmenistan, Tonga, Tuvalu, Ukraine, Uganda, Vatican City, St. Vincent and Grenadines, Venezuela, Vanuatu, Samoa, Yemen, Zambia and Zimbabwe.