AI Data Lead

2 weeks ago

Bengaluru, Karnataka, India Clarifai Full time ₹ 15,00,000 - ₹ 20,00,000 per year
About Clarifai

Impact

AI Data Lead for

Opportunity
  • Dataset Strategy & Pipeline Development:
  • Collaborate with ML and product teams to define data requirements, starting with complex video and image use cases and expanding into text and language.
  • Design and execute a comprehensive strategy for data acquisition and augmentation.
  • Build, scale, and maintain robust data pipelines to ingest, process, and version large-scale multimedia datasets.
  • Third-Party Labeling & Internal Tool Management (Primary Focus):
  • Leverage Clarifai's automated and AI-assisted labeling tools to efficiently pre-label data and manage human-in-the-loop workflows.
  • Serve as the primary lead for external data labeling vendors who will often verify or enrich AI-generated labels, ensuring projects are on time and within budget.
  • Author crystal-clear labeling instructions for complex tasks, from object tracking in video to, eventually, named entity recognition in text.
  • Implement and manage a rigorous quality assurance (QA) framework for both AI- and human-generated labels.
  • Product Feedback & Improvement Loop:
  • Act as a key internal customer for Clarifai's data labeling products.
  • Provide structured, expert feedback to our product and engineering teams to identify bugs, suggest feature enhancements, and guide the product roadmap.
  • Continuously evaluate and pioneer new strategies for combining automated labeling with human verification to maximize quality and efficiency.
  • Leadership & Collaboration:
  • Lead and mentor a focused set of data labeling partners.
  • Foster a culture of data excellence, ownership, and continuous improvement.
  • Communicate project status, challenges, and outcomes effectively to all stakeholders. Keep track of budgets.

Requirements
  • 3 years in data engineering, with a proven history of building and managing complex data pipelines.
  • Direct, hands-on experience managing third-party data labeling services or in-house annotation teams.
  • Experience working with large-scale vision datasets (image or video).
  • Deep understanding of data labeling processes and quality metrics.
  • Strong proficiency in Python and SQL.
  • Experience with cloud data services (AWS, GCP, or Azure).
  • Exceptional project management, communication, and vendor management skills.
  • A meticulous eye for detail and an unwavering commitment to data quality.

Great to Have
  • Specific experience with the complexities of full-motion video datasets and annotation (e.g., temporal consistency, event tagging).
  • Experience in an environment where you regularly used internal tools and provided feedback for their improvement ("dogfooding").
  • Experience with large-scale language or text datasets.
  • Previous experience in a technical leadership or mentorship role.
  • Experience using a variety of data annotation platforms and tools.

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