About DoubleVerify

DoubleVerify is a recognized market innovator with technology & tools that accurately authenticate the quality of digital media & drive ad performance for the world's largest brands. DV provides media transparency & accountability to deliver the highest level of impression 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.

Position Overview

The Classification Operations team plays a critical role in product development by providing data + insights that help drive ontology-based & AI/ML initiatives. As a Training Lead on the team, youll ensure the quality of DV classifications by executing labeling/QA processes, project organization, & sprint-planning.

Youll work both independently & collaboratively within the AI Classification department & also partner with Policy, Product, Data Science, Ontology, & other global teams (ex: Costa Rica, Tel Aviv, Helsinki, London) to evolve DVs classification technologies & ensure a high quality of training across all global teams.

This is a great mid-level opportunity for someone interested in online media & content management. Youll build on your knowledge of the ad tech industry, the growing field of data labeling, & the online space across international markets. Youll also learn popular tools & technologies, as well as valuable skills, that will help meet the needs of top advertising clients across industries, & youll contribute towards the mission of making the digital ecosystem safer, more transparent, & sustainable.

In order to be successful in this role, the candidate must:

• Be a critical thinker who can identify & describe themes & tone of content
• Consistently demonstrate/achieve strong understanding of category definition; Autonomous completion of tasks per established SLAs; Positive feedback from other teams regarding communications, such as ontology feedback & AM/client communications.
• Be comfortable seeing & talking about sometimes sensitive or explicit textual & visual content
• Be an independent worker, but can collaborate with a team when needed (please note: this role is not customer facing)
• Possess strong attention to detail & QA/troubleshooting mindset
• Be a naturally curious learner with an interest in news, pop culture, & online trends
• Be a strong communicator, both verbal & written, with a good understanding of stakeholder motivations & needs
  
  

Primary Job Responsibilities

• Ownership of key components within the team, with a focus on providing training guidelines, organization, & process improvement
• Support proprietary workforce management process on daily basis
• Understand products & associated roadmaps that deliver customer success
• Provide judgements for data labeling/annotating or classification based on independent interpretation of guidelines & policies, providing summaries & recaps once projects are complete
• Provides training & other support-related to processes to other classifiers, including training of new team members.
• Ownership & follow-through of discrete projects (ex: creation + maintenance of JIRA tickets)
• Technical expertise in related classification tasks, management of feedback to Semantic Science, & delegation of tasks, tickets, & projects to specialists.
• Deliver internal training, ensures quality of classifications, & creates & sends communications for internal teams.
• Provide feedback & proactively identify issues to cross-functional teams
• Grow strong working relationships with key internal partners (ex: Account Managers, Product Managers, Policy Managers, Data Scientists)
  
  

Skills & Background

• Bachelors degree
• Knowledge of Google Workspace (Gmail, Google Docs, Google Sheets) and/or Microsoft Office products
• Functional fluency with JIRA, Confluence, Monday.com, and/or other project-tracking tools
• Language skills are a plus

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & balancing internal equity relative to peers at DV.

The estimated salary range for this role based on the qualifications set forth in the job description is between [$75,000- $95,000]. This role will also be eligible for bonus/commission (as applicable), equity, & benefits.

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, & recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but youre not sure that you check every box, apply anyway!