[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-german-speaking-ai-generalist-trainer-remote-germany":3},{"Ques":4,"Slug":22,"Header":23,"job_category":39},{"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, rank and compare model outputs, write reasoning\u002Frationales, run QA evaluation checks, and complete validation tasks to strengthen training data quality under annotation guidelines compliance.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not required. You must be able to follow annotation guidelines, apply strong analytical judgment, and deliver consistent evaluations; prior data labeling, RLHF, or LLM evaluation experience is a plus.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, as you will evaluate and write rationales in both languages.","What languages are required?",{"A":20,"Q":21},"You may evaluate prompts and responses across general knowledge, writing quality, instruction following, reasoning, and content safety labeling scenarios, depending on project needs.","What domains are covered?","german-speaking-ai-generalist-trainer-remote-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual (English\u002FGerman) AI Generalist Trainers to support RLHF and large language model evaluation by ranking model outputs, writing clear rationales, and performing QA evaluation to improve training data quality and drive model performance improvement.","Germany-Based English & German AI Generalist Trainer 2026 May",[27,30,33,36],{"h2":28,"desc":29},"About the Role","As an AI Generalist Trainer at Rexzone, you will evaluate and improve AI systems through RLHF-style tasks, large language model evaluation, and training data quality audits. You will review model-generated responses in English and German, apply annotation guidelines compliance, and provide rankings, validations, and reasoning to help teams deliver measurable model performance improvement.",{"h2":31,"desc":32},"What You Will Do","You will complete prompt evaluation and LLM evaluation workflows by comparing outputs, ranking alternatives, documenting rationales, and validating edge cases. You will also perform QA evaluation to ensure consistent data labeling, content safety labeling, and adherence to project-specific annotation guidelines.",{"h2":34,"desc":35},"How Success Is Measured","Success is measured by accuracy of evaluations, consistency of rankings, clarity of reasoning, annotation guidelines compliance, and overall impact on training data quality and model performance improvement across large language model evaluation programs.",{"h2":37,"desc":38},"Working Model","This is a full-time, remote role for candidates based in Germany. You will collaborate asynchronously with cross-functional teams, follow defined annotation guidelines, and participate in calibration sessions to maintain high-quality evaluation standards.","AI\u002FML Data Operations"]