[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-operations-generalist-jobs-berlin-2026":3},{"Ques":4,"Slug":16,"Header":17,"job_category":30},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13],{"A":8,"Q":9},"An Operations Generalist manages the operational workflows that support our AI\u002FML data annotation, RLHF, and QA evaluation pipelines, ensuring efficiency, quality, and seamless collaboration across all global projects.","What does an Operations Generalist do at Rex.zone?",{"A":11,"Q":12},"Yes, while this role targets the Berlin 2026 talent market, it is a full-time remote position allowing you to collaborate globally with our AI labs, engineering teams, and annotation vendors.","Is this a remote position?",{"A":14,"Q":15},"We look for mid-senior level professionals with a background in operations management, process optimization, and familiarity with AI training data quality, NLP, and large language model evaluation.","What experience is required for this role?","operations-generalist-jobs-berlin-2026",{"desc":18,"title":19,"content":20},"Explore full-time remote Operations Generalist jobs in Berlin for 2026 at Rex.zone. Drive operational excellence, process optimization, and cross-functional support for our global AI\u002FML training pipelines and data labeling workflows.","Operations Generalist Jobs Berlin 2026",[21,24,27],{"h2":22,"desc":23},"Operations Generalist - Berlin 2026","Title: Operations Generalist\nDate: 25-02-2026\nCompany: Rexzone\nCountry: Germany\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Operations\nSkills: Operations Management, Process Optimization, Cross-Functional Coordination, AI Training Pipelines, Data Labeling Workflows\nSalary Currency: EUR\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nAs an Operations Generalist at Rex.zone, you will oversee the day-to-day operational workflows that power our AI\u002FML data annotation and RLHF evaluation pipelines. This role involves cross-functional collaboration with engineering, QA evaluation, and data labeling teams to ensure seamless project delivery and model performance improvement.",{"h2":25,"desc":26},"Core Responsibilities in AI Operations","You will drive operational efficiency across large language model evaluation and content safety labeling projects. Key duties include managing vendor relationships, optimizing annotation guidelines compliance, scaling LLM training pipelines, and ensuring seamless communication between freelance remote workers, BPOs, and internal AI labs.",{"h2":28,"desc":29},"Required Skills and Qualifications","Ideal candidates possess strong analytical skills and experience in tech startups or enterprise operations. You must understand the operational fundamentals of named entity recognition, computer vision annotation, and prompt evaluation. A proven track record in operations management, training data quality assurance, and cross-functional leadership is essential for this senior-level remote role.","Operations"]