[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-data-labeling-jobs-hamburg-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 fully remote role, but you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation tasks such as evaluation and ranking of model outputs, prompt evaluation, QA evaluation, validation of edge cases, data labeling, content safety labeling, and writing clear rationales to support training data quality and model performance improvement.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not required. Rexzone prioritizes strong analytical skills, attention to detail, and reliable annotation guidelines compliance; we provide task instructions and rubrics for RLHF-style evaluation.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, including reading and writing in both languages.","What languages are required?",{"A":20,"Q":21},"Domains vary and can include general knowledge, customer support-style writing, reasoning and comparison tasks, content safety labeling, and other multilingual evaluation scenarios used to improve training data quality in RLHF and large language model evaluation workflows.","What domains are covered?","ai-data-labeling-jobs-hamburg-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 enforcing annotation guidelines compliance to strengthen 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 contribute to RLHF workflows and large language model evaluation by assessing, ranking, and QA-checking model-generated responses in both languages. Your work directly improves training data quality through careful reasoning, validation, and consistent application of annotation guidelines compliance to support measurable model performance improvement.",{"h2":31,"desc":32},"What You Will Do","You will evaluate and rank model outputs, perform QA evaluation for accuracy and safety, and provide concise written rationales that explain preference decisions. You will follow annotation guidelines compliance, apply content safety labeling when required, and validate edge cases to ensure training data quality for model performance improvement across English and German tasks.",{"h2":34,"desc":35},"Key Responsibilities","Evaluate and rank LLM outputs against rubrics; perform QA evaluation and validation checks; write reasoning-based rationales in English and German; conduct prompt evaluation and data labeling tasks; apply content safety labeling and policy-based decisions; flag inconsistencies and propose guideline clarifications to improve annotation guidelines compliance and training data quality.",{"h2":37,"desc":38},"Basic Qualifications","Based in Germany and eligible to work remotely from Germany; fluent in both German and English (reading and writing); strong analytical skills with the ability to compare alternatives and justify rankings; high attention to detail and consistency for QA evaluation; ability to follow annotation guidelines compliance and maintain training data quality.",{"h2":40,"desc":41},"Preferred Qualifications","Prior experience with data labeling, QA evaluation, or annotation operations; familiarity with RLHF, large language model evaluation, and prompt evaluation concepts; self-driven and reliable in remote settings with strong time management; comfort working with evolving rubrics and providing feedback to improve training data quality and model performance improvement.",{"h2":43,"desc":44},"How to Apply","Apply through Rexzone with a short summary of your bilingual English\u002FGerman experience and any relevant evaluation, QA, or annotation background. Candidates who demonstrate strong reasoning, careful validation, and consistent annotation guidelines compliance will be prioritized.","AI Data Operations"]