The Video Content Analyst plays a pivotal role using video as an input to extract critical metadata. This skilled 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
- 2 5 years of experience in media agencies, production houses, or news organizations.
- A deep passion for media, photography, or social media content creation, with the ability to articulate why specific scenes are significant.
- Proven capability in identifying and maintaining "golden sets" of data with meticulous attention to detail.
📌 Senior Data Quaity support II (Mumbai)
🏢 Nielsen Sports
📍 Mumbai
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