[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-data-generalist-jobs-germany-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},"Ideal candidates possess strong skills in data labeling, RLHF, large language model evaluation, and QA evaluation. Experience with AI\u002FML training workflows and strict annotation guidelines compliance is highly valued.","What are the primary skills needed for Data Generalist Jobs Germany 2026?",{"A":11,"Q":12},"Yes, this is a 100% remote, full-time position based in Germany. You will work online with the Rex.zone platform, collaborating with international engineering and AI data operations teams.","Is this Data Generalist position fully remote?",{"A":14,"Q":15},"The role offers a highly competitive salary ranging from 63360 to 126720 USD per year, commensurate with your mid-senior experience in NLP, computer vision, and LLM training pipelines.","What is the compensation structure for this role?","data-generalist-jobs-germany-2026",{"desc":18,"title":19,"content":20},"Discover full-time remote Data Generalist Jobs in Germany for 2026 at Rex.zone. Power AI\u002FML training pipelines through expert data labeling, RLHF, and QA evaluation for large language models.","Data Generalist Jobs Germany 2026",[21,24,27],{"h2":22,"desc":23},"Data Generalist","Title: Data Generalist\nDate: 25-02-2026\nCompany: Rexzone\nCountry: Germany\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Data Generalist, RLHF, Data Labeling, LLM Training Pipelines, QA Evaluation\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":25,"desc":26},"About the Role","As a Data Generalist working remotely in Germany, you will be at the forefront of AI\u002FML training workflows. At Rex.zone, we rely on top-tier talent to ensure training data quality and annotation guidelines compliance. This full-time, mid-senior role focuses on large language model evaluation, prompt evaluation, and named entity recognition to drive model performance improvement across global AI labs and tech startups.",{"h2":28,"desc":29},"Core Responsibilities","Your day-to-day tasks will involve executing complex RLHF (Reinforcement Learning from Human Feedback) protocols and content safety labeling. You will collaborate with engineering teams to refine LLM training pipelines, conduct rigorous QA evaluation, and provide high-quality computer vision annotation. By maintaining strict adherence to project guidelines, you directly contribute to the safety, accuracy, and reliability of next-generation NLP systems.","AI Data Operations"]