[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-remote-cologne-germany":3},{"Ques":4,"Slug":22,"Header":23,"job_category":36},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19],{"A":8,"Q":9},"Yes. This is a remote, full-time role for candidates based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation by ranking and scoring model outputs, completing prompt evaluation, running QA evaluation and validation checks, applying annotation guidelines compliance, and writing concise rationales to support model performance improvement and training data quality.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not always required. You must be analytical, detail-oriented, and able to follow rubrics precisely; Rexzone provides task guidelines and feedback cycles to help you succeed.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, since you will evaluate and write feedback for bilingual datasets.","What languages are required?",{"A":20,"Q":21},"Domains vary and can include general knowledge, customer-support style conversations, reasoning tasks, multilingual writing quality, and content safety labeling, depending on project needs.","What domains are covered?","ai-generalist-trainer-remote-cologne-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, remote, full-time AI Generalist Trainers to support large language model evaluation through RLHF-style ranking, LLM evaluation, and training data quality improvements. You will assess model outputs in English and German, apply annotation guidelines compliance, perform QA evaluation, and write clear rationales that drive model performance improvement in real-world AI\u002FLLM workflows.","Germany-Based English & German AI Generalist Trainer 2026 May",[27,30,33],{"h2":28,"desc":29},"About the Role","As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate, rank, and validate model-generated responses to improve large language model evaluation outcomes. Your work will focus on RLHF-aligned judgments, prompt evaluation, and training data quality, ensuring annotation guidelines compliance and consistent QA evaluation across English and German datasets.",{"h2":31,"desc":32},"What You Will Do","You will review model outputs, compare alternatives, and provide reasoning-backed feedback that helps optimize model behavior. This includes content safety labeling when required, careful adherence to rubrics, and structured validation checks so the resulting training signals support measurable model performance improvement.",{"h2":34,"desc":35},"Why This Role Matters","Your evaluations become training signals that influence how models respond in production. By maintaining high training data quality and consistent annotation guidelines compliance, you help reduce error patterns, improve instruction-following, and increase reliability across English and German user scenarios.","AI Data Operations"]