Senior Data Quaity support II (Video Content Analyst / Strategist)

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.

ROLE:

The Video Content Analyst plays a pivotal role using video as an input to extract critical metadata. This professional acts as the "human intelligence" required to train, validate, and refine Machine Learning (ML) models.

By providing a deep understanding of content, this role ensures that AI applications—such as automated clipping, "chapters and topics" navigation, and scene-level brand suitability—are accurate, reliable, and contextually aware. You will focus on a deep understanding of video content to describe it accurately for AI systems, prioritizing content quality and descriptive accuracy over high-volume output. You will collaborate closely with ML data scientists to bridge the gap between creative content and technical model requirements.

RESPONSIBILITIES:

- Identify and create high-quality, trusted "golden sets" of video data to serve as the ground truth for training robust AI models.

- Audit and validate ML model outputs to identify inaccuracies or "hallucinations," providing structured feedback to improve model performance.

- Analyze video to identify and timestamp significant events, such as award presentations, specific news topics, or sports highlights.

- Add detailed metadata and contextual information to video segments to improve discoverability and machine understanding.

- Work with engineering and product teams to refine how content is described to the machine, ensuring models align with media industry standards.

- Work closely with data scientists, engineers, and video editors to ensure the "instream intelligence" effectively meets specific product use cases for platforms

Qualifications