[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-jobs-dortmund-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 full-time Remote role, and you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation tasks including evaluation, ranking, QA evaluation, prompt evaluation, data labeling, validation, and writing rationales to support training data quality and model performance improvement.","What tasks will I do?",{"A":14,"Q":15},"AI\u002Fannotation experience is preferred but not required. You must be comfortable following annotation guidelines, making consistent judgments, and documenting reasoning with attention to detail.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, as you will evaluate bilingual prompts and model outputs.","What languages are required?",{"A":20,"Q":21},"You will cover a range of generalist domains such as everyday knowledge, professional writing, customer-support style prompts, and content safety labeling scenarios, depending on project needs.","What domains are covered?","ai-generalist-trainer-jobs-dortmund-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based bilingual (English\u002FGerman) AI Generalist Trainers to support large language model evaluation through RLHF-style ranking, prompt evaluation, and QA evaluation. You will label and review data, write clear rationales, follow annotation guidelines compliance, and validate outputs to improve training data quality and drive model performance improvement across AI\u002FLLM workflows.","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 evaluate, rank, and validate model-generated outputs for large language model evaluation workflows. Your work improves training data quality by applying annotation guidelines, performing QA checks, and producing well-reasoned rationales that support model performance improvement. This is a full-time remote role requiring consistent bilingual judgment across English and German prompts and responses.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank multiple AI-generated responses using RLHF-style preference criteria; perform prompt evaluation and QA evaluation to identify errors, policy risks, and quality gaps; label and review datasets using data labeling and content safety labeling standards; write concise, evidence-based rationales explaining ranking decisions and reasoning; validate annotations for consistency, annotation guidelines compliance, and training data quality; investigate edge cases, track recurring failure patterns, and propose improvements that support model performance improvement; collaborate asynchronously with project leads to clarify guidelines, resolve disagreements, and maintain reliable throughput.",{"h2":34,"desc":35},"Basic Qualifications","Must be currently based in Germany with the ability to work remotely from Germany; fluent in both German and English (reading and writing) for bilingual evaluation; strong analytical skills with the ability to compare outputs, identify subtle issues, and justify decisions; exceptional attention to detail to ensure annotation guidelines compliance and high training data quality; comfortable working with web tools and structured rubrics for large language model evaluation.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in AI data labeling, annotation, or QA evaluation (including RLHF or LLM evaluation); familiarity with LLM behavior, prompt-response patterns, and common failure modes; experience with content safety labeling, policy interpretation, or trust & safety review; self-driven, reliable, and able to manage time independently while maintaining high-quality validation and reasoning.",{"h2":40,"desc":41},"How to Apply","Apply through Rexzone with an up-to-date resume highlighting bilingual (English\u002FGerman) writing skills, evaluation or QA experience, and any annotation or LLM-related work. Strong candidates demonstrate consistent reasoning, careful validation habits, and a clear commitment to training data quality.","AI Data Operations"]