About DoubleVerify
DoubleVerify is the recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world's largest brands. DV provides media transparency and accountability to deliver the highest quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry. Learn more at doubleverify.com.
Position Overview
The Classification Operations team plays a critical role in product development at DV by providing data and insights that help drive machine learning/AI initiatives. As a Content Labeling Associate on the team, you’ll work to ensure the quality of DV classifications by analyzing and labeling videos, images and other social media content, focusing on content that advertisers need to classify correctly to avoid topics like profanity, and target topics that are inline with advertiser’s target audience preferences and priorities.
You’ll work independently and collaboratively within the AI Curation team and other teams internationally to develop DV’s classification technologies.
This is a great entry-level opportunity for someone who’s interested in working in online media and content management. You’ll build on your knowledge of the ad tech industry, the growing field of data labeling, and the online space across international markets. You’ll also learn popular tools and the latest state of the art technologies such as Machine Learning, Computer Vision and Artificial intelligence tools, as well as valuable skills that will help meet the needs of top advertising clients across industries, and you’ll contribute towards the mission of making the digital ecosystem safer, more transparent and sustainable.
This position requires understanding of the English and Arabic language (primarily text in english and text & audio in Arabic).
In order to be successful in this role, the candidate must be:
- A fluent speaker of the Arabic language (Standard Modern Arabic / Gulf EUA/SA)
- A critical thinker who can identify and describe themes and tone of content
- Comfortable seeing and talking about sometimes sensitive or explicit textual and visual content
- An independent worker, but can collaborate with a team when needed
- Good at staying self-motivated and on task
- Possess strong attention to detail and QA/troubleshooting mindset
- Flexible in order to prioritize and manage work effectively
- A naturally curious learner with an interest in news, pop culture, and online trends
Primary Job Responsibilities
- Categorize, tag, label, and evaluate textual and visual data across web and social platforms
- Provide judgements for data labeling/annotating or classification based on independent interpretation of guidelines and policies
- Support development teams by providing labeled datasets for machine learning training and other initiatives
- Provide feedback and proactively identify issues to respective team
Skills & Background
- Bachelor’s degree or equivalent experience, preferably in subject areas related to media, psychology, sociology, journalism, linguistics or information science
- Knowledge of Google Workspace (Gmail, Google Docs, Google Sheets)
- High proficiency/fluent knowledge of English and Standard Modern Arabic / Gulf EUA/SA B2 - C1 Level required (Verified through test and interview with native speaker)
Some of the highlights and benefits of this role:
- Work from home
- No customer facing tasks
- No phone calls, chat nor email
- Break and lunch times scheduled at your convenience
The successful candidate’s suitability will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience and location
The monthly pay range for this role based on the qualifications set forth in the job description is $1400 per month. This role will also be eligible for an annual bonus (as applicable)
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.
Costa Rica
