[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-jobs-nuremberg-germany":3},{"Ques":4,"Slug":22,"Header":23,"job_category":42},{"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, including evaluation and ranking of model outputs, QA evaluation and validation of labeled data, prompt evaluation, writing rationales, and content safety labeling when applicable.","What tasks will I do?",{"A":14,"Q":15},"AI experience is preferred but not required. We value strong analytical skills, attention to detail, and the ability to follow annotation guidelines to maintain training data quality.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required for bilingual evaluation and annotation work.","What languages are required?",{"A":20,"Q":21},"Domains vary and may include general knowledge, instruction-following, summarization, customer support-style dialogues, and content safety; the focus is on RLHF, training data quality, annotation guidelines compliance, and model performance improvement.","What domains are covered?","ai-generalist-trainer-jobs-nuremberg-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual (German\u002FEnglish) AI Generalist Trainers to support RLHF and large language model evaluation through data labeling, prompt evaluation, QA evaluation, and rigorous training data quality reviews that drive model performance improvement.","Germany-Based English & German AI Generalist Trainer 2026 May",[27,30,33,36,39],{"h2":28,"desc":29},"About the Role","As a Germany-based English & German AI Generalist Trainer at Rexzone, you will work remotely and full-time on AI\u002FLLM workflows focused on RLHF, large language model evaluation, and training data quality. You will assess model-generated outputs, rank responses, write clear rationales, and validate results against annotation guidelines. Your work directly supports model performance improvement by ensuring annotation guidelines compliance, consistent QA evaluation, and reliable training data quality across multilingual tasks in German and English.",{"h2":31,"desc":32},"Key Responsibilities","Perform large language model evaluation by reviewing, comparing, and ranking model outputs; execute RLHF-style preference ranking with well-structured reasoning and written rationales; conduct QA evaluation and validation of labeled datasets for training data quality; apply annotation guidelines compliance checks and escalate edge cases; complete prompt evaluation and response audits for helpfulness, correctness, safety, and policy adherence; perform content safety labeling where required and document decisions consistently; track errors, analyze patterns, and recommend workflow improvements that support model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","Must be based in Germany and eligible to work remotely from Germany; fluent in German and English (reading and writing) with strong comprehension of nuance; strong analytical skills with the ability to evaluate reasoning quality and detect inconsistencies; exceptional attention to detail and commitment to annotation guidelines compliance; ability to follow detailed processes, meet throughput\u002Fquality targets, and maintain consistent training data quality.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, QA evaluation, content moderation, or annotation operations; familiarity with LLM evaluation, RLHF concepts, prompt evaluation, and model behavior analysis; experience writing concise rationales and making consistent ranking decisions; self-driven, dependable, and comfortable working independently in a remote setting; interest in AI quality measurement and model performance improvement.",{"h2":40,"desc":41},"How to Apply","Apply to Rexzone with a short summary of your Germany-based availability, German\u002FEnglish proficiency, and any experience with data labeling, QA, or large language model evaluation. Qualified candidates may complete a brief evaluation to confirm annotation guidelines compliance and training data quality judgment.","AI Data Operations"]