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解決客戶應用技術問題，並記錄及回饋給相關單位撰寫系統操作手冊和相關文件處理客戶日常維護需求工作提供客戶及相關人員教育訓練支援相關測試工作執行專案事務及主管交辦事務並即時回報

即時應對與初檢線上問題：對線上異常進行初步診斷與檢傷分類，迅速評估影響範圍，結合歷史經驗、產品邏輯與用戶路徑，提供具操作性的修復建議與解決方案。確保系統穩定運行：主動監控產品全鏈路的運作情況，涵蓋交易、訂單、金流、通知等關鍵模組，確保高峰期（如雙 11、黑五）流量湧入時平台依然穩定，成為商家與 SHOPLINE 值得信賴的後盾。主導重大事故處理：擔任事故處理的第一線協調者，快速召集 RD、QA、MS 等相關團隊，有效控制影響範圍，確保問題處置流程落實並維持高標準的 SLA。追蹤問題復盤與改進：推動線上事故的事後檢討（Postmortem），確保跨部門團隊執行根因分析（Root Cause Analysis），追蹤與落實改善進度，降低問題重演的機率。資料導向的改善推手：善用歷史數據、Log 紀錄與埋點分析等工具追蹤問題線索，協助產品與工程團隊精準定位系統問題與瓶頸，持續提升平台的可用性與韌性。

蓋亞資訊代理國際雲端服務(GCP、Ａzure、AWS、阿里雲)、雲端WAF/CDN、國際品牌憑證、網域等雲端服務 (1). 雲端服務應用，包含基礎服務操作、專案帳號管理與帳單帳號建立。 (2). 網域(Gandi)申請與憑證(Sectigo)建立作業。 (3). WAF/CDN基礎服務應用與網路狀況排查分析。 (4). G workspace / M365 障礙排除與教育訓練。(5). 其他主管交辦事項。

Responsibilities: Deploy various application services and perform daily operations to ensure service availability and stability. Monitor business systems daily, respond promptly to issues, and document incident reports to ensure smooth operations and preparedness for emergencies. Perform system patching, disaster recovery, data backup, and storage management to ensure system security and recoverability. Assist in the development and improvement of deployment and maintenance processes to enhance service quality and efficiency. Manage and maintain servers, databases, web services, and other systems in development and testing environments. Build and continuously optimize operating systems and monitoring systems, including simple web page modifications and statistical data integration. Requirements: Experienced in configuring LNMP architecture (Linux, Nginx, MySQL, PHP) and Nginx configuration files. Basic troubleshooting skills for hardware issues. Experienced in using cloud-based virtual machines (AWS/GCP/Azure). Basic knowledge of HTML, CSS, and JavaScript.Must be willing to work overseas and have an active passport (only shortlisted will be contacted).

Location: Global – RemoteWorking Hours: Flexible schedule, up to 10 hours/day and 40 hours/weekDuration: Immediate through December 2025About the RoleHelp shape the future of AI! We’re seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you’ll annotate, label, and curate data that powers advanced machine learning models. Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide.Key ResponsibilitiesAnnotate Label: Tag, categorize, and review text, images, and documents.Collect Data: Gather and organize high-quality datasets for AI training.Ensure Quality: Review and validate data for precision and consistency.Collaborate Globally: Work with an international team to hit project milestones.Flexible HoursWork up to 10 hours per day, 40 hours per week—on your schedule.Qualification pathBasic RequirementsStrong attention to detail and ability to follow precise instructions.Reliable internet connection and ability to work independently.Prior experience in data annotation or labeling is a plus but not required.Basic understanding of AI or machine learning concepts is advantageous.Strong proficiency in English for clear communication and reporting.Assessment To qualify, you will:Complete an initial qualification assessment to demonstrate suitability for the role. Provide ID verification for participation.PaymentFreelance rates range from $6–$18 USD per hour, depending on experience, geographic location, and project requirements. Payment is competitive and reflects the value of your contributions to AI training projects.

Responsible for maintaining hardware, software, and networks, as well as installing operating systems according to the standards set by the company.

We are a pioneering AI Computer Vision company seeking a dedicated and adaptable Tech Support Engineer to join our team. This role requires a unique blend of technical expertise and flexibility, as you will be supporting our innovative AI-driven products and services across varying shifts, including both day and night hours. Your contribution will be vital in ensuring the continuous and efficient operation of our cutting-edge technologies.

Cedars Digital 希達數位成立於 2023 年，總部位於新加坡，由母公司 LITE-ON 光寶科技投資，提供企業碳管理解決方案。 專長於 AI 人工智慧技術與資料整合，提供企業一站式的組織溫室氣體盤查與產品碳足跡計算管理，並生成碳盤查報告與清冊，協助企業應對全球氣候變遷下的產業技術解方。 About the role： As a Technical Support Engineer, you will be a crucial part of our customer success team, responsible for providing exceptional technical support and assistance to our CMS customers. You will be the frontline of customer support, addressing inquiries, troubleshooting issues, and ensuring our customers have a positive and productive experience with our CMS products. Responsibilities ： 1. Customer Assistance and Issue Resolution: - Serve as the first point of contact for customer inquiries, providing timely and effective assistance via email, chat, phone, or ticketing systems. - Understand and troubleshoot customer issues, helping them resolve problems related to our CMS applications. - Guide customers through setup, configuration, and usage of our software. 2.Technical Expertise: - Develop a deep understanding of our CMS products, including their features, capabilities, and technical architecture. - Stay up-to-date with product updates and new releases to provide accurate information to customers. 3. Problem Diagnosis and Escalation: - Diagnose complex technical issues and escalate them to the appropriate internal teams (e.g., engineering, QA) when necessary. - Clearly document customer-reported issues, steps taken, and resolutions in our support system. 4. Customer Education: - Create and maintain knowledge base articles, FAQs, and tutorials to help customers find solutions independently. - Offer training and guidance to customers on using our CMS products effectively. 5. Feedback Collection: - Act as the voice of the customer by collecting feedback, feature requests, and bug reports to share with product management and development teams. 6. Performance Monitoring: - Monitor and report on the performance and availability of our CMS applications. - Proactively identify and address potential service interruptions or degraded performance. 7. Collaboration: - Collaborate with cross-functional teams, including developers, QA engineers, and product managers, to ensure customer issues are resolved promptly and effectively. 8. Customer Advocacy: - Identify opportunities to turn satisfied customers into advocates who can provide testimonials, case studies, or referrals.

UAT adalah aktivitas pengujian yang bertujuan untuk mengetahui apakah produk yang telah dikembangkan sesuai dengan kebutuhan userDapat dikatakan, UAT adalah tahapan terakhir dari pengujian software dan harus dilakukan. Fokus utama dari UAT adalah memastikan bahwa pengguna merasa nyaman saat menggunakan produk tersebut dan dapat menyelesaikan masalah dari user. Setelah mengadakan UAT, langkah selanjutnya adalah user dapat melaporkan isu-isu, mengusulkan perubahan atau fitur tambahan.

1. Instalasi PABX 2. Instalasi CCTV3. Instalasi Nurse Call4. Instalasi Networking & Mounting rack server