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Nielsen brand, metro hybrid role, and mid-level experience raise applicant density, though niche video annotation narrows the pool.
Requires media/content expertise and annotation experience, moderately transferable across media and streaming roles.
Explicit 2–5 years and media-specific golden-set and content expertise create strict screening filters.
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Create and maintain 'golden sets' of video data as ground truth to train and validate AI models for video content analysis.
Audit and validate outputs of ML models to identify errors and provide feedback for improvement, ensuring AI accuracy and contextual relevance.
Analyze video content to add detailed metadata, timestamp events, and collaborate with data scientists and engineers to align model outputs with media standards.
2–5 years experience in media agencies, production houses, or news organizations.
Demonstrated expertise in accurately identifying significant scenes and maintaining high-quality video data sets.
Must live near Nielsen’s office to support a hybrid work model (partly remote and partly onsite).
Work Experience Required: 2–5 years in relevant media-related roles.
Strong capability to bridge creative video content understanding with technical ML team requirements through clear communication.
Detail-oriented with exceptional accuracy in identifying key scenes within complex video datasets, supporting AI training needs.
Experienced working in hybrid, flexible environments involving collaboration with global, cross-functional teams.