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You will perform complex multimodal data annotation, including image, video, LiDAR, and geospatial data, while maintaining high quality standards. Additionally, you will lead annotation projects, refine labeling guidelines, and train team members to ensure consistency across AI research datasets.
Join an expert team supporting advanced AI research through complex, multimodal data annotation. You will handle challenging cases, guide quality standards, and help ensure reliable training data across projects.
Label difficult or ambiguous image, video, LiDAR, point cloud, audio, text, and geospatial data.
Perform spatial and 3D annotation, multi-object tracking, action labeling, and sensor linking across camera, LiDAR, and radar systems.
Complete entity tagging, OCR correction, and transcription of challenging audio, including accented speech and specialist vocabulary.
Review and correct annotation work, resolve disagreements, and maintain consistency across projects.
Write and refine labeling guidelines with examples for edge cases.
Train annotators and report agreement and error rates to project teams.
At least 5 years of experience in annotation, labeling, transcription, GIS, remote sensing, or equivalent domain expertise paired with hands-on annotation work.
Experience leading or reviewing annotation work as a QA lead, team lead, guideline owner, or adjudicator.
Hands-on proficiency with tools such as CVAT, Labelbox, Label Studio, Supervisely, ELAN, QGIS, or similar platforms.
Strong expertise in at least one area: image, video, LiDAR, point cloud, audio, text, or geospatial data.
Clear written communication and the ability to explain labeling decisions.
Compensation is $40 to $75 per hour, depending on project, field, and experience. Pay is based on hours worked.
Fully remote. Projects typically run from one week to several months.
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