





Strong employer brand, metro location, and common 2–5 year band increase applicant competition.
Role requires media/video domain expertise and content judgement, making skills less transferable across industries.
Explicit 2–5 years and media-specific experience plus mandatory golden-set proficiency raise filter strictness.
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Create and maintain high-quality "golden sets" of video data for training AI and ML models.
Audit and validate machine learning outputs by identifying inaccuracies and providing structured feedback to improve model performance.
Analyze video content to identify significant events and add detailed metadata for improved AI discoverability and accuracy.
2–5 years of experience in media agencies, production houses, or news organizations.
Proven capability in identifying and maintaining high-quality video data sets with exceptional accuracy.
Ability to work in a hybrid environment, residing near the Nielsen office.
Work Experience Required: 2–5 years in relevant media or content roles.
Strong domain knowledge of media content, including media, photography, or social media content creation with a focus on detailed content significance.
Comfortable bridging creative content knowledge with technical ML team requirements through clear communication.
Able to switch contexts quickly and work effectively in a flexible, hybrid global team environment.