Top Remote Jobs in Yokohama

Provides remote and on-site technical support for proprietary applications and hardware. Troubleshoots Windows, browsers, networking, and related issues; manages Salesforce or other ticketing systems; resolves customer contacts within service-level agreements; documents interactions; approves spare-part troubleshooting; identifies issue trends; supports process improvements, projects, and training; and collaborates with customers and global teams in English and Chinese.

Deploys, integrates, troubleshoots, and maintains autonomous robotic systems in customer environments. Analyzes field feedback, improves system reliability, builds monitoring and diagnostic tools, trains customer operators, and collaborates with software, hardware, AI research, product, and engineering teams to scale deployment practices.

Provides operational support within FedEx Express transportation and business networks. The role requires secondary education or equivalent, with no prior experience required. FedEx offers career development, mobility, training, benefits, and flexible work arrangements.

Serves as a regional Total Rewards subject matter expert and internal consultant across Asia Pacific. Advises HR and business leaders on compensation, benefits, recognition, and related programs; evaluates market competitiveness using external data; identifies risks and opportunities; supports program implementation, vendor partnerships, policy governance, job evaluation, grading structures, and continuous improvement. Requires strong analytical, communication, influencing, and stakeholder-management skills in a dynamic regional environment.

Build and lead the AI engineering platform for enterprise COBOL modernization. Responsibilities include designing transformer models for COBOL-to-Java/Python translation, developing high-performance code analysis engines, optimizing inference, architecting distributed cloud-native systems, and delivering reliable AI pipelines for large enterprise codebases. The role also includes hiring and leading engineering teams, shaping product strategy, and partnering with the CEO as a technical co-founder.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.

Build and improve HUD’s platform and marketplace for RL training data and evaluations. The Product Engineer will identify user friction, define priorities, design prototypes, and ship full-stack product experiences. Responsibilities include improving agent-run and evaluation workflows, building frontend and backend functionality for onboarding and environment submission, and using user feedback and product signals to iterate. The role requires close collaboration with product, design, engineering, research, and go-to-market teams.

Serves as the APAC Expansion business operations partner for Sales leadership. Diagnoses operational challenges, analyzes business performance and field feedback, develops recommendations, manages operational rhythms, and drives cross-functional issues through resolution. The role supports planning, segmentation, coverage models, policy development, and leadership decision-making while partnering with Revenue Operations, Marketing, Customer Success, IT, and Finance.

Leads all IT activities across the APAC region, aligning regional technology roadmaps with global strategy and business priorities. Advises executives, defines IT KPIs, manages cybersecurity and compliance, oversees enterprise platform deployments including ERP, CRM, eQMS, analytics, and collaboration tools, and drives digital transformation and automation. Coordinates with global IT teams, leads initiatives, and may build a regional IT team. Requires travel to APAC subsidiaries, the U.S., and France for 50% of the time.

Oversee portfolios of Generative AI data operations projects, managing delivery, capacity planning, vendors, budgets, quality, risks, automation, and client reporting. Coach project managers and coordinators, collaborate with recruiting and finance, enforce data security and compliance, and improve processes across distributed teams.

As a Solutions Engineer, you'll enhance our voice AI platform for enterprise customers, collaborating with sales teams and providing tailored support through technical demonstrations, documentation, and integration solutions.

Own and scale reusable canonical transaction models for multi-enterprise supply chains. Research business processes, normalize B2B standards and ERP messages, define schemas and mappings, create requirements and acceptance criteria, and partner with architecture, engineering, QA, customers, and services through delivery. Govern versioning, compatibility, reuse, adoption, and lifecycle quality across order, procurement, manufacturing, logistics, inventory, finance, and related processes.