Data Operations Engineer

About Abaka AI Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley—and teams in Paris, Singapore, and Tokyo—we support global partners with fast, reliable, and scalable data solutions. Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems. About the Role We are hiring a Data Operations Engineer to own and operate Abaka AI’s internal dataset library. This role will serve as the central point of knowledge for all datasets across the company, working closely with engineering, product, and business teams to ensure fast, accurate, and scalable access to data. You will develop a deep understanding of our dataset inventory, including structure, quality, and use cases, and act as the primary point of contact for internal data-related questions. You will translate ambiguous requests into clear solutions, validate dataset quality, and coordinate across global teams to resolve issues efficiently. This role is highly cross-functional and requires strong problem-solving ability, technical fluency, and a high level of ownership. You will play a critical role in improving how datasets are organized, accessed, and utilized across the company. Responsibilities Develop and maintain a comprehensive understanding of Abaka AI’s dataset library, including data structure, quality, and applicable use cases across modalities (text, image, video, audio, 3D). Serve as the internal point of contact for dataset-related inquiries, providing clear and timely responses to questions from engineering, product, a