[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-jobs-stuttgart-2026":3},{"Ques":4,"Slug":16,"Header":17,"job_category":30},{"title":5,"content":6},"Frequently Asked Questions About AI Generalist Jobs",[7,10,13],{"A":8,"Q":9},"An AI Generalist handles a wide range of tasks within LLM training pipelines, including data labeling, RLHF, prompt evaluation, and QA evaluation to ensure optimal model performance.","What does an AI Generalist do at Rex.zone?",{"A":11,"Q":12},"Yes, these full-time and freelance roles are designed for remote workers based in or targeting the Stuttgart region, allowing you to contribute to global AI labs and tech startups from anywhere.","Are these AI Generalist positions in Stuttgart fully remote?",{"A":14,"Q":15},"Key skills include a strong grasp of NLP, annotation guidelines compliance, named entity recognition, and practical experience with reinforcement learning from human feedback (RLHF).","What skills are required for large language model evaluation?","ai-generalist-jobs-stuttgart-2026",{"desc":18,"title":19,"content":20},"Discover full-time remote AI Generalist jobs in Stuttgart for 2026 at Rex.zone. Power AI training pipelines through expert data labeling, RLHF (Reinforcement Learning from Human Feedback), QA evaluation, and large language model evaluation. Whether you are seeking entry-level, senior, contract, or freelance opportunities, our platform connects you with top AI labs and tech startups.","AI Generalist Jobs Stuttgart 2026",[21,24,27],{"h2":22,"desc":23},"AI Generalist Role Overview","Title: AI Generalist\nDate: 25-02-2026\nCompany: Rexzone\nCountry: DE\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: AI, Machine Learning, RLHF, Data Labeling, Prompt Evaluation, NLP, Computer Vision\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nJoin Rex.zone to shape the future of artificial intelligence. As an AI Generalist, you will drive model performance improvement and ensure annotation guidelines compliance across various domains including NLP and computer vision annotation.",{"h2":25,"desc":26},"Core Responsibilities in AI\u002FML Training","Your day-to-day workflows will involve comprehensive RLHF, QA evaluation, and prompt evaluation. You will be responsible for training data quality, content safety labeling, and named entity recognition to optimize LLM training pipelines. Your expertise will directly impact large language model evaluation and deployment, ensuring high-fidelity data feeds into next-generation AI systems.",{"h2":28,"desc":29},"Required Skills & Qualifications","We are looking for mid-senior professionals with a deep understanding of AI\u002FML ecosystems. Ideal candidates possess strong capabilities in NLP, computer vision, and data labeling. Experience working with tech startups, AI labs, or BPOs is highly valued. You must excel in remote environments, maintaining rigorous annotation guidelines compliance for complex AI training workflows.","AI Data Operations"]