[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-data-labeling-jobs-berlin-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, 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, write rationales explaining your reasoning, and follow annotation guidelines compliance to support training data quality and model performance improvement.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not strictly required. Strong analytical skills, attention to detail, and the ability to follow guidelines consistently are essential; experience with data labeling, RLHF, or LLM evaluation is a plus.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, including strong written communication in both languages.","What languages are required?",{"A":20,"Q":21},"You may work across general knowledge, customer-support style tasks, summarization, rewriting, reasoning, and content safety labeling, depending on project needs within large language model evaluation.","What domains are covered?","ai-data-labeling-jobs-berlin-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based AI Generalist Trainers to support large language model evaluation through RLHF, LLM evaluation, and training data quality workflows. You will assess, rank, and QA model outputs in English and German, write clear rationales, and follow annotation guidelines compliance to 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 improve AI systems by performing large language model evaluation across diverse domains. Your work will include RLHF-style ranking, prompt evaluation, QA evaluation, and content safety labeling to strengthen training data quality and enable consistent model performance improvement. You will follow detailed annotation guidelines and provide high-quality reasoning to justify decisions.",{"h2":31,"desc":32},"Responsibilities","Evaluate model-generated responses for correctness, completeness, and helpfulness in English and German. Rank multiple outputs using RLHF-style preference criteria and rubric-driven scoring. Perform QA evaluation and validation checks to ensure training data quality and annotation guidelines compliance. Write concise, well-structured rationales that explain reasoning behind rankings and edits. Identify ambiguity or edge cases, escalate guideline gaps, and propose clarifications to improve consistency. Review prompts and responses for policy alignment, including content safety labeling when required. Track errors, patterns, and feedback to support continuous model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and eligible to work as a remote contractor\u002Femployee as applicable. Fluent in German and English with strong writing skills in both languages. Strong analytical skills with the ability to compare nuanced answers and justify decisions. Excellent attention to detail, consistency, and ability to follow annotation guidelines compliance. Comfortable working with web tools, spreadsheets, and structured review workflows under quality targets.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience with data labeling, prompt evaluation, QA evaluation, or LLM evaluation. Familiarity with RLHF concepts, rubric-based scoring, and training data quality best practices. Experience writing high-quality rationales, doing editorial review, or policy-aligned content review. Self-driven, dependable, and able to manage time independently in a remote environment.",{"h2":40,"desc":41},"How to Apply","Apply to Rexzone with a brief summary of your bilingual English\u002FGerman experience, location in Germany, and any relevant background in evaluation, annotation, or QA. Qualified candidates may complete an assessment focused on large language model evaluation, reasoning, and annotation guidelines compliance.","AI Data Operations"]