Training Lead, Product Operations - AI Classifi... @ DoubleVerify
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About DoubleVerify
DoubleVerify is a recognized market innovator with technology and tools that authenticate the quality of digital media and drive ad performance for the world's largest brands. Since 2008, DV has helped hundreds of Fortune 500 companies optimize their media spend with best-in-class solutions.
Position Overview
The Classification Operations team is essential in product development by providing key data and insights for ontology-based and AI/ML initiatives. As the Training Lead, you will ensure the quality of DV classifications through effective labeling, QA processes, project organization, and sprint planning. You will work independently as well as collaborate with teams across Policy, Product, Data Science, and more in various global locations.
Role Responsibilities
- Own training guidelines and process improvements.
- Support daily workforce management processes.
- Provide judgments for data labeling and classification.
- Train and support new team members.
- Manage projects via JIRA and similar tools.
- Deliver internal training and maintain communications.
- Build strong relationships with internal partners.
Skills & Background
- Bachelor’s degree required.
- Familiar with Google Workspace and/or Microsoft Office.
- Experience with JIRA, Confluence, Monday.com, or similar.
- Language skills are an advantage.
Compensation
Starting salary between $75,000 and $95,000 with bonus/commission, equity, and benefits based on qualifications and experience.
Key skills/competency
Training Lead, Classification, QA, Data Labeling, Ontology, AI/ML, Project Management, JIRA, Communication, Process Improvement
How to Get Hired at DoubleVerify
🎯 Tips for Getting Hired
- Research DoubleVerify's culture: Study their mission, values, and recent news.
- Customize your resume: Highlight classification, QA, and project management experience.
- Prepare for interviews: Practice responses on operational challenges.
- Showcase technical skills: Emphasize familiarity with JIRA and Google Workspace.