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Classify and annotate diverse data types including images, video, audio, and documents to support AI training. Perform precise labeling tasks such as object tracking, entity tagging, and geospatial data processing.
Join an expert network supporting AI training projects as an annotation specialist. You will label diverse data types to help improve how AI systems learn, with project assignments matched to your background.
Classify images, video, audio, and documents according to detailed guidelines.
Annotate 2D and 3D data using boxes, polygons, masks, cuboids, and segments.
Track objects across video frames and label actions and temporal events.
Tag entities in text, including names, places, products, and dates.
Transcribe audio, extract text from scans and photos, and label sounds and speakers.
Annotate satellite and geospatial imagery and link records across sensors.
Experience in annotation, labeling, transcription, GIS, quality assurance, or similar detail-oriented work. Relevant experience may include visual or language data tasks, mapping, subtitling, editing, or linguistic coding.
Ability to follow lengthy written guidelines and maintain accurate, consistent labels.
Familiarity with tools such as Label Studio, CVAT, Labelbox, Supervisely, ELAN, or QGIS.
Background in linguistics, geography, GIS, computer science, media, or a related field is helpful.
Experience with OCR correction, audio transcription, entity tagging, geospatial or sensor-data labeling, or AI training data projects is helpful.
Reliable internet access and a desktop or laptop computer.
Compensation is $15 to $35 per hour, depending on project, field, and experience. Payment is based on hours worked.
Fully remote.
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