[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-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 remote, full-time role, and you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will do large language model evaluation tasks such as prompt evaluation, ranking and preference selection, QA evaluation, validation, and writing rationales to support RLHF and training data quality.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not required. We provide guidelines and calibration; success depends on analytical skills, attention to detail, and strong reasoning during evaluation and ranking.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in English and German is required, including the ability to evaluate nuance, tone, correctness, and safety in both languages.","What languages are required?",{"A":20,"Q":21},"Domains vary and can include general knowledge, customer support-style writing, reasoning tasks, and content safety labeling. You will follow annotation guidelines compliance for each domain to support model performance improvement.","What domains are covered?","ai-generalist-trainer-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, performing QA evaluation, and writing clear rationales to drive training data quality and 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 an AI Generalist Trainer at Rexzone, you will work remotely from Germany to evaluate, rank, and validate model-generated responses across multiple domains. You will follow annotation guidelines compliance, complete prompt evaluation and LLM evaluation tasks, and document reasoning that improves training data quality and enables measurable model performance improvement in RLHF pipelines.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank model-generated outputs in English and German using defined rubrics; perform QA evaluation to identify errors, inconsistencies, and policy risks; write concise rationales that explain reasoning and support reviewer validation; apply annotation guidelines and maintain annotation guidelines compliance across tasks; conduct prompt evaluation and preference ranking aligned with RLHF objectives; validate edge cases, flag ambiguous prompts, and escalate content safety labeling issues; track recurring failure patterns and propose improvements to guidelines to strengthen training data quality; collaborate with operations teams to meet accuracy and throughput targets while maintaining high-quality large language model evaluation.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and able to work remotely with reliable connectivity; fluent in English and German (written and reading comprehension required for nuanced evaluation); strong analytical skills with the ability to compare alternatives and justify rankings; high attention to detail and consistency when applying rubrics and annotation guidelines; comfortable making judgment calls, documenting reasoning, and completing validation steps under time constraints.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in AI data labeling, RLHF, LLM evaluation, prompt evaluation, or QA evaluation; familiarity with large language model evaluation concepts (helpfulness, correctness, safety, tone, and groundedness); experience with content safety labeling and policy-based review; self-driven work style, dependable throughput, and a strong quality-first mindset.",{"h2":40,"desc":41},"Compensation and Schedule","This is a full-time remote role with compensation of $35–$40\u002Fhour (USD). Work is performed remotely from Germany with structured training, ongoing feedback, and quality calibration to support training data quality and model performance improvement.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with your resume\u002FCV and a brief note confirming you are Germany-based and fluent in English and German. If selected, you will complete an evaluation to verify annotation accuracy, reasoning quality, and annotation guidelines compliance for large language model evaluation tasks.","AI Data Operations"]