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Metro location and mid-level experience increase competition, but niche video analyst duties and hybrid requirement moderate density.
Role requires media/production domain knowledge and specific video annotation skills, limiting cross-industry transferability.
Explicit 2–5 years in media/production and hybrid location requirement make hiring filters strict.
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Serve as the human intelligence input to train, validate and refine video-based ML models by extracting critical metadata from video content.
Create and maintain high-quality 'golden sets' of video data as ground truth to improve AI model accuracy and reliability.
Collaborate with ML data scientists, engineers, and product teams to ensure accurate, contextual video descriptions and model alignment with media industry standards.
2–5 years of experience in media agencies, production houses, or news organizations.
Demonstrated ability to create and maintain 'golden sets' of video data with high accuracy.
Must live near Nielsen’s office to work in a hybrid environment (partial remote and onsite).
Work Experience Required: 2-5 years in relevant media roles.
Detail-oriented with proven precision in identifying and timestamping key scenes or events in complex video data.
Experienced in bridging creative content understanding with technical ML requirements through clear communication with technical teams.
Comfortable working in a flexible, hybrid environment collaborating with global multi-disciplinary teams.