Good with detail? Turn it into flexible remote work AI learns to read documents from examples that people label by hand. Every form, every field, every checkbox a model gets right in the real world traces back to someone who marked it correctly first.
Internet Judging: Lightspeed
Remote (Global)
April 17, 2025
Job description
Description:
We are currently looking for long-term participants for our new project, Lightspeed! If you are familiar with our Milky Way project, this is the next logical step to conquer the universe!
During this Search Engine Evaluation project, participants will evaluate unique tasks, made by other users. To be successful, this project is accompanied by different tests and certifications to help you on your way.
The entries to evaluate will be of varied nature, from user intent to authentication of data accuracy.
Purpose:
Thanks to this project, we will help develop and optimize current and future map and geo-localization applications, to produce more accurate and intuitive maps in terms of location, search functions and more.
Main Requirements:
- You have been living in one of the available locations for at least 5 years. Our evaluators must be familiar with the local businesses, points of interest, colloquialisms, etc.
- You are a native or a fluent speaker of the language of the location where you are located and are a very fluent speaker of English.
- You have access to a good internet connection and a computer.
- You are available for at least 10 hours per week.
- You are willing to take our certifications for this project.
Please note: This project requires a CV. To avoid application processing delays, please ensure yours is uploaded to your OneForma profile prior to applying.
Apply now
You will be redirected to the company's website to complete your application.
Job scope: data labelling analyst with experience in product matching for catalogs; Brand knowledge/Identify Counterfeit Summary: The main function of a data labeling analyst is to create and manage labeling and change processes within the data management systems.
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