Teams at Abaka AI

Own end-to-end delivery of AI data projects, including scoping, planning, budgeting, scheduling, execution, risk management, and quality control. Serve as the primary liaison among clients, suppliers, and internal teams while managing annotated datasets and project outputs. Improve workflows, reduce costs, resolve issues, and develop scalable solution frameworks. The role requires strong communication, organizational, client-management, and cross-functional collaboration skills in a global environment.

Create, edit, review, and publish research and technical content across social channels. Coordinate researcher and marketing feedback, approvals, and announcement timelines; monitor AI research trends, competitors, datasets, and data workflows; maintain a content calendar; support visuals and channel adaptation; and track content performance to improve future communications.

Build and operate scalable multimodal data pipelines from requirements through delivery. Own feasibility, planning, quality standards, annotation, processing, storage, cost tracking, and acceptance criteria. Coordinate engineers, annotation teams, vendors, and client-facing stakeholders while improving infrastructure, automation, tooling, dataset visibility, and data quality for AI and foundation model teams.