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Full-time
Posted 3h ago
~40 hrs/week
Responsibilities
This role manages foundational categorization and labeling structures for video AI to ensure metadata accuracy and scalability. Responsibilities include cleansing and validating raw data while leveraging annotation platforms to support high-quality AI model training.
Requirements
Candidates should have 2–5 years of experience in taxonomies, library science, or media categorization. Proficiency with data labeling tools like Labelbox and strong interpersonal skills for global team collaboration are required.
Full job description
Company Description
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
Job Description
ROLE:
This role is responsible for managing the foundational categorization and labeling structures for video AI. You will ensure the taxonomy for video metadata evolves to meet new product use cases and supports a self-sufficient, high-quality data team.
RESPONSIBILITIES:
Maintain and evolve the categorization systems for video metadata, ensuring terms and structures are accurate and scalable.
Execute detailed labeling for AI models, including identifying moving objects or sensor-based video data.
Leverage external annotation and labeling platforms (e.g., Labelbox) and crowdsourced services (e.g., AWS Mechanical Turk) to scale training data efforts.
Cleanse, validate, and organize vast amounts of raw data to ensure it is free from inconsistencies before it feeds into AI models.
Examine data for quality gaps and develop strategies to improve accuracy and categorization value
Qualifications
2–5 years of experience in relevant areas
Experience with taxonomies, library science, archival organization, or music/media store categorization.
Familiarity with data labeling tools (Labelbox) or gig-economy annotation services (Mechanical Turk).
A natural tendency to willingly organize content with a high degree of meticulousness.
Expertise in the full lifecycle of AI training data, from initial sourcing to final organization would be an additional benefit
Excellent interpersonal skills to work effectively with different teams and communicate data-related concepts clearly. Ability to work independently and collaboratively within a team.
Ready to work in a flexible work environment that requires working with global teams.
The role is hybrid, so you must live near Nielsen’s office. Hybrid Workers are those employees who are working partially from home which is in the same city as the Nielsen office they are employed with and partially from a Nielsen office / site
Additional Information
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
Related keywords
Data QualityVideo AITaxonomyMetadataLabelboxAWS Mechanical TurkData LabelingAI ModelsData CleansingLibrary ScienceArchival OrganizationMedia Store CategorizationTraining DataHybrid WorkGlobal Teams
Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future.
Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook and Instagram).
Offices: 675 6th Ave, New York, NY 10011, US · A. Juozapaviciaus gatve 6, Vilnius, Vilniaus 09310, LT · Oxford Business Park (South), Oxford, England OX4 2WB, GB · 9 Avenue des Trois Fontaines, Cergy, IdF 95000, FR · Calle de Salvador de Madariaga, 1, Madrid, Community of Madrid 28027, ES
Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future.
Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook and Instagram).
Offices: 675 6th Ave, New York, NY 10011, US · A. Juozapaviciaus gatve 6, Vilnius, Vilniaus 09310, LT · Oxford Business Park (South), Oxford, England OX4 2WB, GB · 9 Avenue des Trois Fontaines, Cergy, IdF 95000, FR · Calle de Salvador de Madariaga, 1, Madrid, Community of Madrid 28027, ES