Personalized Ads Evaluator - English Language (Freelance) jobs in United States
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TELUS Digital AI Data Solutions · 12 hours ago

Personalized Ads Evaluator - English Language (Freelance)

TELUS Digital AI Data Solutions is seeking a Personalized Ads Evaluator to work from home and contribute to the improvement of internet search and online advertising. This freelance role involves reviewing and rating online advertisements to ensure their relevance and quality.

Artificial Intelligence (AI)Autonomous VehiclesComputer VisionData Collection and LabelingEnterprise SoftwareMachine LearningOutsourcing
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Hiring Manager
Ems Ramirez
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Responsibilities

Reviewing online advertisements by rating them on their relevance to the search terms used
Providing feedback on their language and cultural relevance in order to improve their content, quality, and layout

Qualification

English proficiencySocial media experienceWeb browsing skillsCultural awarenessCommunication skills

Required

Excellent communication skills with full professional proficiency in English
Being a resident in USA for the last 3 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Country
Active use of Gmail, Google+, and other forms of social media and experience in the use of web browsers to navigate and interact with a variety of content
Daily access to a broadband internet connection, a smartphone (Android 4.1, iOS 8 or higher), and a personal computer with antivirus software to work on
A Barcode Scanner application to be installed on your smartphone to complete certain tasks

Benefits

Access to complimentary mental health support benefits like free EAP and Mindfulness Apps.
Dedicated, responsive well-being team proactively offering well-being education each month, as well as quarterly initiatives.

Company

TELUS Digital AI Data Solutions

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TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models.