Posted: Mar 24, 2026
Bouncr
Label StudioImagePay Per HourOverview
Dataset
Labeling Details
Hiring
Budget
Client
Labeling Overview
Annotate key personal and document information on various US Driver's License (DL) templates crowdsourced from the internet. Workers will review images of US driver's licenses and accurately label the following fields: jurisdiction_name, credential_type, real_id_indicator, family_name, given_name, middle_name, suffix, date_of_birth, sex, height, weight, eye_color, hair_color, street_address, city, state, zip_code, document_number, class, endorsements, restrictions, date_of_issue, date_of_expiration, under_18_until, under_21_until, organ_donor_indicator, veteran_indicator, portrait, ghost_image, signature, and customer_id_number. This dataset will be used to train and improve document understanding and information extraction models for US driver's licenses.
Pay Per HourEntry Level1 monthAgency or Individual
Total Budget
-
Pay per Label
$5/hr
Time Requirement
Less than 20 hrs/week
Duration
1 month
Description of dataset
crowdsourced us license templates
Software
Label StudioHiring Type
Agency or Individual
Required Location
Global - Any Location
Workload / Schedule
Most annotators should be able to finish the full set in 4–8 hours total, depending on experience.
Software
Label StudioData Type
ImageLabel Types
Bounding Box
Subject Matter / Industry
goverment documents
Job Type
Self Service
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Share link
trainai.co/project