Top Remote Jobs in Japan

Leads end-to-end data science and AI projects for MedTech, partnering with business, technology, and data engineering teams. Develops and deploys predictive and machine learning models, experimentation frameworks, and advanced analytics to improve commercial performance, marketing, customer experience, and business processes. Evaluates data quality, operationalizes models, monitors post-deployment performance, and translates complex insights into strategic business decisions.

Designs and validates mechanical products that meet customer specifications. Responsibilities include engineering analysis, design verification, development and qualification testing, failure analysis, documentation, production launch support, and releasing drawings through internal systems. The role collaborates with global engineering teams, suppliers, customers, and cross-functional stakeholders while applying knowledge of electrical circuits, microelectronics, statistical methods, process control, and product testing.

Lead and execute strategic communications and editorial plans for Asia-based clients. Serve as liaison between client teams and TTP editorial, design, events, and CMS teams. Produce and edit marketing materials, manage content calendars, oversee event content for up to 20 events annually, maintain multimedia assets and dashboards, and provide weekly client reporting and cross-functional coordination.

Research Engineer role focused on helping Cerence advance voice and AI technologies for automotive applications. The position contributes to innovation supporting voice assistants used by global automakers and millions of vehicles. Specific daily responsibilities and first-year objectives are not provided in the description.

Leads project cost planning, budgeting, forecasting, cost control, financial reporting, commercial analysis, and risk management. Reviews contracts, change orders, invoices, and payment applications; supports procurement negotiations; identifies cost overruns and mitigation strategies; presents performance updates to stakeholders; improves cost management processes and mentors junior staff.

Create educational articles, product guides, tutorials, course materials, and videos explaining cryptocurrency, trading, blockchain, and Web3 products. Script and present on-camera content, support product launches, repurpose content across channels, coordinate reviews and publication, track performance, and use AI tools to improve production efficiency while maintaining accuracy.

Designs and maintains scalable Databricks data pipelines and batch or streaming workflows using Spark and Delta Lake. Collaborates with engineers, scientists, and architects to deliver production-ready data solutions, optimize processing performance and costs, and support data quality, governance, and security. The role also contributes to knowledge sharing and mentors junior engineers in an international, hybrid Tokyo-based environment.

Visit cafes across an assigned Japanese city to verify WiFi, internet speed, plug points, seating, ambience, passwords, and overall work-friendliness. Submit accurate survey data after each visit, plan coverage across neighborhood clusters, and maintain high data quality. The role suits a detail-oriented, reliable college student or someone with a flexible part-time schedule who can travel independently within the city and use a smartphone.

Conduct PCI DSS compliance assessments and audits for global clients, evaluating security controls, documentation, systems, and processes. Identify compliance gaps, document findings, prepare audit reports, and provide remediation guidance. The consultant communicates with client stakeholders, manages audit engagements, maintains quality standards, and stays current with PCI DSS and cybersecurity practices. Full professional fluency in Japanese is required, along with an active QSA certification and at least three years of information security and PCI DSS assessment experience.

Design, deploy, and operate infrastructure for AI and software products. Own CI/CD pipelines, Kubernetes and containerized services, backend and worker systems, monitoring, secrets, networking, backups, and recovery. Support hybrid cloud and on-premise environments, ML workloads, and developer tooling. Collaborate with engineering teams to improve reliability, deployment, debugging, documentation, and scalability.