Image Annotation Specialist
Half of all Data Annotation & Labeling roles come down within 26 days of being listed, and 47.8% are still up after four weeks. This one was posted today.
About the role
The work
You will label aerial and satellite images for a computer vision project. The work involves marking image regions by hand, following a visual guide, and keeping your decisions accurate and consistent across hundreds of images.
- Work through a queue of aerial and satellite images in a browser-based annotation tool.
- Mark each image region with brush, polygon, and eraser tools.
- Assign each region to one of the defined categories in the visual guide.
- Correct images that have been partly filled in by the software.
- Fix and resubmit images returned by a reviewer with notes.
- Flag unclear, broken, or uncovered images.
What it pays and takes
This is worldwide, remote contract work with a part-time schedule. The role is suited to someone who can work carefully and apply the same rules consistently, even when the tasks are repetitive.
- Pay: $0.05 per labeled image or item.
- Hours: 20 or more hours per week.
- Location: Open worldwide.
- Work arrangement: Remote, part-time contract.
- Experience level: Expert.
- You need strong attention to detail and patience for repetitive work.
- You must be able to learn from a visual guide, use reviewer feedback, and ask questions when instructions are unclear.
- You need a laptop or desktop computer with a mouse or drawing tablet, a recent version of Chrome, and reliable internet.
- You need good written English to read the guide and communicate with reviewers.
- Previous image annotation or segmentation experience is helpful but not required.
- Experience with drawing, photo editing, or design software is helpful.
- Familiarity with aerial or satellite imagery is helpful.
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 labeling images so machine learning models can learn from clear examples. People with strong accuracy and subject knowledge help make these models more reliable.
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.
From OpenTrain AI's job posting, checked 14 Nov 2026.
About OpenTrain AI
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