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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in data analytics, Trust Safety, policy, cybersecurity, or related fields. Experience in data analysis, problem-solving and efficient execution. Preferred qualifications: Master's degree. Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python). Experience in building operations, efficient workflow design and process documentation. Knowledge of content moderation, policy enforcement, and data labeling for adversarial ML model development. Ability to solve unstructured business problems and work with cross-regional and cross-functional teams. Excellent problem-solving and critical thinking skills with attention to detail in a fluid environment. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The SmartReview team is at the forefront of protecting Google's billions of Workspace users. We play a pivotal role in developing, monitoring and upgrading the processes and human-in-the-loop flows to generate high quality data sets used to build Machine Learning models. As a Policy Enforcement Manager, you will work with global teams to ensure our review processes keep up with the new trends in abuse across the workspace. You will own the processes to work with product and engineering teams to ensure the latest trends in abuse are caught early and included in our policy and vendor trainings. You will evaluate abuse trends and quality within vendor operations and develop solutions to address quality, workflows, and processes.At Google we work hard to earn our users’ trust every day. Trust Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Responsibilities Research and stay up-to-date on key trends and suspicious patterns across policy areas on Workspace. Lead the creation and definition of workflows to solve product requirements. Lead coordination across various Trust and Safety (TS) and product teams to set up labeling operations. Oversee enforcement quality across policy areas, including calibrations with vendor teams. Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays. Develop operational excellence plans and ensure that the processes are reliable and measurable across all products on Workspace including Gmail, Drive and Gen AI features. Innovate and develop methods to incorporate AI models to improve quality of the manual review operations as well as providing insights to the engineering teams. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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

Main Responsibilities: Melakukan manajemen insiden keamanan IT, termasuk identifikasi, analisis, dan tindak lanjut. Menangani permintaan dan tiket helpdesk keamanan IT secara efisien dan profesional. Melakukan fine-tuning konfigurasi, rule, dan policy pada perangkat keamanan untuk menjaga performa optimal. Mengelola dan memantau tata kelola perangkat keamanan (security device governance). Menyusun dokumentasi dan laporan berkala terkait aktivitas serta status keamanan sistem.

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。

awoo Intelligence 阿物科技是以 AI 驅動的 MarTech 在地新創，首創以產品為中心，深度了解消費者意圖的預測模型，推出台灣第一個全通路 AI 行銷自動化平台。此平台以 SaaS 模式營運，提供超過 20 個功能與服務，涵蓋流量獲取、轉換優化、再行銷、會員留存與數據加值應用，協助零售與電商打造全通路無縫接軌的超個人化用戶體驗。awoo 成立於 2015 年， 2017 年起獲得矽谷多位知名軟體投資家與企業家連續投資。目前於東京、嘉義、台北與高雄皆設有營運據點，服務超過 16,000 名企業用戶，致力協助客戶進行數位轉型，達成商業目標。【About the role】As a Technical Support at awoo, you will be the key technical coordinator between our clients and our product teams, ensuring successful adoption and optimization of awoo's AI-powered MarTech solutions.1.Deep dive into our customers' business cases, data, and constraints to ensure the optimal usage of awoo's AI-empowered solutions.2.Develop in-depth knowledge of awoo's solutions: you will be familiar with all the details from development, service operation, to the sales strategy.3.Work with Product, Development, and Technical Solutions teams to support successful adoption of awoo's solutions, including providing appropriate documentation and technical guidance.4.Develop technical solutions for customers by working out existing product implementation based on data integration and service application recommendations.5.Discuss the product definition, implementation, and operation, clarify issues with the customer and consolidate the feedbacks to Product and Development teams on behalf of the customer.6.Optimize business outcomes for customers by leveraging awoo’s AI and data assets.【關於此職位】作為 awoo 的技術支援，您將擔任客戶與產品團隊之間的關鍵技術協調者，確保 awoo 的 AI 賦能 MarTech 解決方案得到成功採用與最佳化。1.深入了解客戶的業務案例、數據和限制，確保 awoo 的 AI 賦能解決方案得到最佳應用。2.對 awoo 的解決方案建立深入的了解：您將熟悉從開發、服務營運到銷售策略的所有細節。3.與產品、開發和技術解決方案團隊合作，支持 awoo 解決方案的成功採用，包括提供適當的文件和技術指導。4.透過數據整合和服務應用建議，基於現有產品實施，為客戶開發技術解決方案。5.與客戶討論產品定義、實施和營運，釐清問題，並代表客戶將反饋整合給產品和開發團隊。6.透過利用 awoo 的 AI 和數據資產，優化客戶的業務成果。【Responsibilities】1.Assist clients in integrating awoo’s solutions based on their business goals and technical environments.2.Troubleshoot technical issues and resolve them through close collaboration with internal (e.g., Engineering, Product) and external (Client's technical teams) stakeholders.3.Develop internal tools and scripts to streamline operations and visualize/analyze data effectively.4.Clarify client technical requirements and coordinate with the appropriate teams to achieve desired outcomes.5.Provide market and user-experience insights to the Product team to support continuous product improvement.【職責 (Responsibilities)】1.協助客戶根據其業務目標和技術環境整合 awoo 的解決方案。2.透過與內部（例如：工程、產品）和外部（客戶的技術團隊）利益相關者的緊密合作，排除技術問題並解決它們。3.開發內部工具和腳本，以簡化營運並有效地視覺化/分析數據。4.釐清客戶的技術要求，並與適當的團隊協調以達成預期結果。5.向產品團隊提供市場和用戶體驗洞察，以支持產品持續改進。【Perks and Benefits】1.Fully remote work setup, offering a healthy work-life balance.2.Competitive compensation package based on skills and experience.3.Ongoing professional development opportunities to enhance your knowledge and skills.4.Collaborative and supportive team culture that fosters innovation and creativity.【福利與待遇 (Perks and Benefits)】1.完整遠距工作模式，提供健康的工作與生活平衡。2.具競爭力的薪酬方案，將根據技能和經驗而定。3.持續的專業發展機會，以增進您的知識和技能。4.協作且支持性的團隊文化，促進創新與創造力。

I. Thông tin chung ► Lịch trình o Nộp hồ sơ (online) : Trước 11.11.2025 o Thi tuyển (bài thi GSAT) : 23.11.2025 o Phỏng vấn : 17.12.2025 o Đi làm/Thực tập : 01.2026 ► Chi nhánh tuyển dụng: - SEV (Samsung Electronics Việt Nam) | Bắc Ninh - SDV (Samsung Display Việt Nam) | Bắc Ninh - SEVT (Samsung Electronics Việt Nam Thái Nguyên) | Thái Nguyên - SEMV (Samsung Electro-Mechanics Việt Nam) | Thái Nguyên ► Chuyên ngành tuyển dụng: - Nhóm ngành kỹ thuật: IT, Tự động hóa, Cơ khí, Điện, Điện tử, Viễn thông, Vật liệu, Hóa học … - Nhóm ngành kinh tế, xã hội: Kinh tế, Tài chính – Kế toán, Quản trị nhân lực, … II. Các chương trình tuyển dụng ► NHÂN VIÊN CHÍNH THỨC (FRESH STAFF) o Đối tượng: Sinh viên đã tốt nghiệp hoặc chuẩn bị tốt nghiệp Đại học (tốt nghiệp trước 31.07.2026) ► THỰC TẬP SINH (INTERN) o Đối tượng: Sinh viên năm cuối (tốt nghiệp trước 31.01.2027) o Thời gian thực tập: - SEV, SEVT : 2 tháng ~ 6 tháng - SDV : 2 tháng - SEMV (học bổng) (*) : 3 tháng (*) Chương trình học bổng (SEMV) + Giá trị học bổng: $3,000 (Cam kết làm việc 2 năm) + Chuyên ngành: Tự động hóa, Điện, Điện tử, Cơ khí, Vật liệu, Hóa học + Năng lực Tiếng Anh hoặc Tiếng Hàn tốt

為機構客戶、開發者提供全生命周期支持，包括接入調試、問題診斷、交易異常處理及風控規則解讀。 建立客戶響應機制，主導重大技術故障的客戶溝通與解決方案落地，維護客戶信任。 收集機構客戶API使用過程中遇到的問題，協同運營、產品、開發團隊進行，包括接口穩定性監控、性能調優、故障排查及版本叠代管理，確保API服務高可用性。

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.