[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-data-labeling-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 full-time remote role, and you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will evaluate and rank model outputs, perform QA evaluation and validation, follow annotation guidelines compliance, write reasoning-based rationales, and support RLHF and large language model evaluation to improve training data quality.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not required. We value strong analytical skills, attention to detail, and the ability to follow guidelines consistently; training is provided for the evaluation framework.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, including strong reading and writing skills.","What languages are required?",{"A":20,"Q":21},"Tasks can span general knowledge, customer-style prompts, reasoning and writing quality, prompt evaluation, content safety labeling, and other areas that affect model performance improvement and training data quality.","What domains are covered?","ai-data-labeling-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 assessing, ranking, and QA-checking model outputs 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 evaluate and improve AI\u002FLLM workflows by reviewing model-generated outputs, applying annotation guidelines compliance, and producing clear rationales that support RLHF, large language model evaluation, and training data quality. You will work fully remote and full-time, collaborating with cross-functional teams to validate outputs, perform QA evaluation, and identify issues affecting model performance improvement across multilingual (German\u002FEnglish) use cases.",{"h2":31,"desc":32},"Responsibilities","Evaluate and rank model-generated responses in English and German using rubric-based criteria; perform QA evaluation and validation checks to ensure training data quality and annotation guidelines compliance; write concise, well-reasoned rationales explaining rankings, correctness, and safety decisions; review prompts and conduct prompt evaluation to detect ambiguity, bias, and failure modes; execute data labeling and content safety labeling for sensitive, policy-relevant, or unsafe content; troubleshoot edge cases, document findings, and escalate recurring errors impacting model performance improvement; maintain consistency across tasks by following updated guidelines and calibration feedback; support large language model evaluation efforts by auditing datasets and verifying label quality.",{"h2":34,"desc":35},"Basic Qualifications","Must be based in Germany and authorized to work remotely from Germany; fluent in German and English (reading and writing); strong analytical skills with the ability to compare outputs, spot inconsistencies, and justify decisions; exceptional attention to detail and commitment to training data quality; comfort working with structured rubrics, evaluation forms, and annotation guidelines compliance; ability to manage full-time workload and meet quality\u002Fthroughput targets.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, QA evaluation, RLHF, or other annotation workflows; familiarity with LLM evaluation concepts (helpfulness, harmlessness, truthfulness, reasoning quality); experience writing rationales, performing ranking tasks, or validating multilingual content; self-driven, reliable, and comfortable working independently in a remote environment; interest in AI safety, content safety labeling, and model performance improvement.",{"h2":40,"desc":41},"Compensation and Schedule","Pay is $35–$40 USD per hour (hourly). Full-time, remote (Germany-based).",{"h2":43,"desc":44},"How to Apply","Apply through Rexzone and include a brief summary of your bilingual (German\u002FEnglish) experience, attention to detail examples, and any prior work with evaluation, ranking, QA, or annotation workflows.","AI Data Operations"]