[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-rater-jobs-munich-germany":3},{"Ques":4,"Slug":22,"Header":23,"job_category":45},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19],{"A":8,"Q":9},"Yes. This is a remote, full-time role, and you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will evaluate and rank model-generated outputs, perform QA evaluation, write rationales explaining reasoning, validate guideline compliance, and complete data labeling tasks that improve training data quality for RLHF and large language model evaluation.","What tasks will I do?",{"A":14,"Q":15},"AI\u002Fannotation experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance are essential; training and calibration are provided.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both English and German is required, since you will evaluate and write across bilingual prompts and responses.","What languages are required?",{"A":20,"Q":21},"Tasks span general knowledge, writing quality, instruction-following, content safety labeling, and prompt evaluation scenarios designed to support model performance improvement in real-world AI\u002FLLM workflows.","What domains are covered?","ai-rater-jobs-munich-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, performing QA evaluation, writing clear rationales, and enforcing annotation guidelines compliance to improve training data quality and drive model performance improvement.","Germany-Based English & German AI Generalist Trainer 2026 May",[27,30,33,36,39,42],{"h2":28,"desc":29},"About the Role","As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate, rank, and QA model-generated responses across realistic tasks used in AI\u002FLLM workflows. Your work directly supports RLHF, prompt evaluation, and training data quality by validating outputs, documenting reasoning, and ensuring annotation guidelines compliance for large language model evaluation and measurable model performance improvement.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank model outputs against rubrics; perform QA evaluation for consistency, safety, and instruction-following; write concise rationales that capture reasoning and tradeoffs; validate edge cases and escalate guideline gaps; apply annotation guidelines compliance to every task; execute data labeling and prompt evaluation with high precision; run quality checks to improve training data quality; support content safety labeling and policy-based decisions; track errors and propose fixes that improve model performance improvement; maintain clear bilingual (English\u002FGerman) documentation.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and authorized to work as a remote contractor\u002Femployee as applicable; fluent in English and German (C1+ or equivalent); strong analytical skills with structured reasoning; excellent attention to detail and consistency on repeated evaluations; comfortable following annotation guidelines and applying rubrics; able to deliver high-quality work independently with reliable turnaround.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in AI data labeling, RLHF, LLM evaluation, or QA evaluation; familiarity with large language model evaluation concepts (helpfulness, harmlessness, factuality, instruction-following); experience writing high-quality rationales and error analyses; self-driven, organized, and comfortable working in a remote, metrics-driven environment.",{"h2":40,"desc":41},"Compensation","USD $35–$40 per hour, depending on assessment results and performance. Full-time, remote, Germany-based.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with your resume\u002FCV and a short note describing your experience with evaluation, QA, bilingual writing, and any exposure to RLHF or training data quality work. Selected candidates will complete a skills assessment focused on large language model evaluation and annotation guidelines compliance.","AI Data Operations"]