Top Artificial Intelligence Jobs in Yokohama

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

Join the Welo Data team to enhance AI models through data annotation, collaboration, and culturally nuanced AI contributions, ideal for language enthusiasts.

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

The Senior Partner Executive at SUSE focuses on developing partnerships, aligning strategies, tracking performance, and driving business growth in collaboration with key stakeholders.

As a QA Annotator, you'll review AI-generated content, ensuring quality through labeling, identifying inaccuracies, and providing feedback. This role is project-based and remote.

Mentor students in Nanodegree programs, provide project reviews and technical support, offering personalized feedback and responding to queries promptly.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Director of Operations/Strategy will lead strategic planning, facilitate cross-functional coordination, and represent the cofounder in various executive initiatives.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The AI Client Manager conducts audits of AI management systems, works with clients on compliance and certification, and ensures quality service delivery. Requires expertise in AI and relevant regulations.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI Outcomes Manager will engage with executives, conduct use case workshops, and collaborate with Product and R&D to enhance customer engagement and achieve successful AI implementation.

The AI Application Developer will integrate AI models into web applications, manage full-stack development, and ensure performance optimization while collaborating with ML engineers.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The role involves building an AI image generation product for iOS, focusing on user acquisition, monetization, conversion strategies, and cross-functional collaboration.

Support SEO/SEM efforts for AI image generation site by optimizing content, conducting data analysis, and collaborating with cross-functional teams.

As an AI Inference Support Engineer, you'll troubleshoot customer issues in AI inference, manage tickets, analyze performance metrics, and collaborate with engineering teams.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.