Jobs 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.

Own end-to-end product design for web and mobile products, from discovery and user research through flows, prototypes, polished UI, and shipped experiences. Build a design system, reusable components, and cross-platform patterns while partnering closely with engineers. Validate decisions through usability testing and product data, contribute to design reviews, and help establish processes for a growing product team.

Create and execute AI-focused content and social media strategies across X, LinkedIn, and YouTube. Responsibilities include writing threads, articles, and founder-led content; scheduling posts; monitoring trends; engaging communities and key opinion leaders; tracking performance metrics; and collaborating with engineering and business development teams. The role requires strong AI/LLM knowledge, excellent copywriting, social media fluency, and the ability to use AI tools and workflows.

Design and optimize scalable multimodal machine learning pipelines for training, fine-tuning, evaluation, experimentation, and deployment. Collaborate with data engineering, research, product, and infrastructure teams across text, image, audio, video, and 3D modalities. Improve distributed training performance, data workflows, reproducibility, model governance, and resource utilization while shaping technical strategy and engineering best practices.

Own the full business development cycle from prospecting and qualification through discovery, solution development, negotiation, and close. Research prospects, conduct outbound outreach, lead customer meetings, coordinate samples and pilots, prepare proposals and pricing materials, support contract discussions, maintain pipeline records, and build long-term customer relationships. Collaborate with technical, research, project management, and operations teams while developing commercial judgment under mentorship.

Conduct robot learning research across simulated and real robotic systems, training and evaluating imitation learning, diffusion, VLA, and reinforcement learning policies. Build evaluation infrastructure and scalable pipelines for synthesizing, annotating, and curating robotics datasets. Analyze how data affects policy performance, reproduce state-of-the-art research, deploy policies on robot hardware, and contribute findings to leading robotics, computer vision, and machine learning publications.

Develop and maintain Abaka AI’s visual identity across digital, print, events, presentations, social media, recruiting, merchandise, and marketing materials. Collaborate with cross-functional teams, manage projects from concept through production, coordinate with vendors, maintain brand assets and templates, and deliver consistent visual experiences across global audiences.

Develop and execute social media strategies across X, LinkedIn, and YouTube; write articles, threads, carousels, videos, and founder-brand content; schedule posts; manage calendars; monitor trends; engage communities and KOLs; track performance; and collaborate with engineering, business development, and GTM teams on communications initiatives.