About Abaka AI Abaka AI is a leading data partner for AI teams. With headquarters in Silicon Valley and teams in Paris, Singapore, and Tokyo, we support global partners with fast, reliable data solutions. We offer a diverse catalog of datasets spanning image, video, multimodal data, 3D, and more, along with data collection and annotation services that enable building high-performance AI systems.

Role overview We are hiring a Multimodal Data Engineer in the United States to build systems and workflows that turn complex data requirements into high-quality datasets for AI teams. You will own projects from initial requirements through final delivery—assessing feasibility, defining quality standards, building scalable pipelines, coordinating technical work, and ensuring datasets meet specifications. The role spans multiple modalities and all stages of the data lifecycle, including sourcing, processing, annotation, quality control, storage, and delivery.

Responsibilities - Assess incoming data requirements for feasibility, technical challenges, risks, cost, and delivery timeline; define execution plans, quality specifications, and acceptance criteria before work begins. - Own technical delivery for assigned projects from scoping to handoff; break requirements into tasks with clear owners, priorities, deadlines, and deliverables; coordinate work across engineers, annotation teams, and external vendors. - Build and improve scalable pipelines for multimodal data sourcing, processing, cleaning, annotation, quality assurance, storage, and delivery. - Establish quality gates at inges

About Abaka AI Abaka AI is a leading data partner for AI teams. With headquarters in Silicon Valley and teams in Paris, Singapore, and Tokyo, we support global partners with fast, reliable data solutions. We offer a diverse catalog of datasets spanning image, video, multimodal data, 3D, and more, along with data collection and annotation services that enable building high-performance AI systems.

Role overview We are hiring a Multimodal Data Engineer in the United States to build systems and workflows that turn complex data requirements into high-quality datasets for AI teams. You will own projects from initial requirements through final delivery—assessing feasibility, defining quality standards, building scalable pipelines, coordinating technical work, and ensuring datasets meet specifications. The role spans multiple modalities and all stages of the data lifecycle, including sourcing, processing, annotation, quality control, storage, and delivery.

Responsibilities - Assess incoming data requirements for feasibility, technical challenges, risks, cost, and delivery timeline; define execution plans, quality specifications, and acceptance criteria before work begins. - Own technical delivery for assigned projects from scoping to handoff; break requirements into tasks with clear owners, priorities, deadlines, and deliverables; coordinate work across engineers, annotation teams, and external vendors. - Build and improve scalable pipelines for multimodal data sourcing, processing, cleaning, annotation, quality assurance, storage, and delivery. - Establish quality gates at inges