Drone And Maritime Imagery Annotation Specialist
Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listed on 2026-11-01
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IT/Tech
Data Annotation/ AI Labeling, AI Evaluation
You will improve AI training data by reviewing machine-generated annotations in drone and maritime imagery. The work includes still images and may expand to video frames as the project develops.
You will work in a dedicated labeling application within a secure government environment. Accuracy, consistency, dependable production, and clear communication about unclear images or guidelines are important.
- Review and correct machine-generated bounding boxes.
- Add labels for vehicles, boats, people, aircraft, and other objects missed by AI systems.
- Annotate both daylight and thermal sensor imagery.
- Record ambiguous cases and communicate guideline questions clearly.
- Maintain reliable throughput while meeting accuracy and consistency expectations.
- Move into video-frame annotation if the project scope expands.
This is a remote, part-time contractor role for candidates in the United States. Prior AI experience is not required, but careful visual judgment and the ability to follow detailed guidelines are important.
- Pay: $20 to $60 per hour.
- Work arrangement:
Remote contractor role. - Schedule:
Part-time. - Location:
Open to candidates in the United States. - Language:
Fluency in English. - Strong attention to detail for repetitive, accuracy-critical work.
- Clear written and verbal communication.
- Comfort using dedicated annotation software and learning new tools.
- Helpful experience includes data labeling, bounding-box annotation, image annotation, robotics data, autonomous-system datasets, or other quality-controlled annotation work.
- Familiarity with aerial, maritime, daylight, or thermal imagery is valuable.
AI training work is the human side of building artificial intelligence: people label images, review model outputs, and prepare examples that help AI systems learn. Careful contributors are needed because accurate, consistent annotations help models recognize objects and interpret real-world data.
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