Clarifai is a leading, full-lifecycle deep learning AI platform specializing in computer vision, natural language processing, and audio recognition.
The AI Data Lead will own the end-to-end process of creating and curating high-quality datasets that fuel Clarifai's models.
This role will initially focus on building next-generation vision datasets, particularly full-motion video, and will expand to include large-scale language datasets for advanced NLP models.
Responsibilities include collaborating with ML and product teams to define data requirements, designing a strategy for data acquisition, and maintaining robust data pipelines.
The role will leverage automated and AI-assisted labeling tools, manage external data labeling vendors, and implement a quality assurance framework for labels.
The AI Data Lead will provide structured feedback to product and engineering teams, evaluate new strategies for labeling, and lead a team of data labeling partners.
Requirements:
Candidates must have 3+ years of experience in data engineering, with a proven history of building and managing complex data pipelines.
Direct experience managing third-party data labeling services or in-house annotation teams is required.
Experience working with large-scale vision datasets, such as images or videos, is essential.
A deep understanding of data labeling processes and quality metrics is necessary.
Strong proficiency in Python and SQL is required.
Experience with cloud data services like AWS, GCP, or Azure is needed.
Exceptional project management, communication, and vendor management skills are essential.
A meticulous eye for detail and a commitment to data quality are required.
Benefits:
Clarifai offers a diverse and inclusive workplace, committed to equal opportunity hiring and retention.
Employees have the opportunity to work remotely from various locations in the United States and Tallinn, Estonia.
The company has raised significant funding, providing a stable environment for growth and innovation.
Employees can contribute to cutting-edge AI technology and work with a team of industry leaders and experts.