Content Labeling Specialist - English & Spanish

Summary

Join DoubleVerify's Classification Operations team as a Content Labeling Associate and contribute to the development of innovative classification technologies. You will analyze and label videos, images, and social media content, ensuring data quality for machine learning initiatives. This entry-level role offers opportunities to build expertise in ad tech, data labeling, and international online spaces. You will work independently and collaboratively, providing labeled datasets for machine learning training and identifying issues for respective teams. The position requires fluency in English and Spanish and a strong attention to detail. This role is ideal for those interested in online media and content management and contributing to a safer, more transparent digital ecosystem.

Requirements

• Bachelor’s degree or equivalent experience, preferably in subject areas related to media, psychology, sociology, journalism, linguistics or information science
• High proficiency/fluent knowledge of English and Spanish
• 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

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 teams

Preferred Qualifications

Previous experience in a content moderation or content labeling position is highly advantageous