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Part Time - Work from Home Photo Collection and Annotation Project in Guatemala
Part Time - Work from Home Photo Collection and Annotation Project in Guatemala-April 2024
Zacapa
Apr 20, 2025
ABOUT TELUS INTERNATIONAL AI INC.
TELUS International helps businesses build, test, and improve machine learning models.
501 - 1,000 employees
Consulting, Telecom
VIEW COMPANY PROFILE >>
About Part Time - Work from Home Photo Collection and Annotation Project in Guatemala

  TELUS International is currently looking for participants in Guatemala to help us in annotating / labelling photos.

  The task can be completed remotely from the comfort of your own home.

  Summary:

  As a photo annotator, you will be assigned to tasks generated from the photos and videos in your Google Photos, and annotate according to the given guidelines. Participants only see their own photos.

  Project schedule:

  Estimated Start Date: September 2023

  Project Duration: The project is continuous for approximately a year with possibility to extend.

  Workload: On average 50-70 tasks, 3-4 hours of work monthly.

  Requirements:

  Minimum 500 photos in Google Photos

  Availability needed - up to 4 hours monthly

  Working proficiency in English

  Stable Internet connection for the duration of the task with functional desktop/laptop/android phone

  Payment:

  Estimated $8-$24 USD per month.

  This is a freelancing remote job opportunity for continuous project

  Payment will be processed via our AI Community platform

  If you are interested in participating, please complete this registration form below. Our team will reach out for next steps to the qualified candidates. Qualified candidates will be considered for similar and other type of projects like this upon their interest.

  For this project, TELUS International AI Data Solutions will capture a broad cross-section of participants targeting various combinations of demographics, with the goal of ensuring that our customer's services, and derived products, are equally representative of a diverse set of end-users. The data will help improve the authentication methods, thus offering more secure tools for the end users.

  If you are interested or know someone, click on the link below to register:

  https://fs30.formsite.com/LB2014/4eow5atrup/index

  "All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status."

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