[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-trainer-hybrid-jobs-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 AI outputs, perform QA evaluation, write rationales with clear reasoning, and complete validation steps to improve training data quality and support RLHF.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not required. If you can follow annotation guidelines compliance and produce consistent evaluations, Rexzone will provide task guidelines and feedback loops.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required for bilingual evaluation and prompt evaluation work.","What languages are required?",{"A":20,"Q":21},"Domains vary by project and may include general knowledge, customer-style assistance, reasoning tasks, and content safety labeling—all within large language model evaluation workflows.","What domains are covered?","ai-trainer-hybrid-jobs-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 executing QA evaluation. You will follow annotation guidelines compliance to strengthen training data quality and drive model performance improvement across real-world AI\u002FLLM workflows.","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 evaluate, rank, and QA model-generated responses in both German and English. Your work directly impacts RLHF pipelines, training data quality, and model performance improvement by producing high-signal judgments, reasoning, and validation notes that improve large language model evaluation outcomes.",{"h2":31,"desc":32},"Key Responsibilities","• Evaluate and rank model outputs against task requirements, safety policies, and user intent.\n• Perform QA evaluation on labeled tasks to ensure training data quality and annotation guidelines compliance.\n• Write concise rationales explaining ranking decisions, including reasoning about correctness, helpfulness, and safety.\n• Validate edge cases (ambiguity, multilingual nuances, policy boundaries) and flag inconsistencies for review.\n• Execute prompt evaluation and response comparison to support RLHF and large language model evaluation.\n• Apply content safety labeling when required and document decisions for auditability.\n• Track error patterns and provide feedback that supports model performance improvement.\n• Maintain throughput and accuracy targets while adhering to updated guidelines and workflows.",{"h2":34,"desc":35},"Basic Qualifications","• Must be based in Germany and able to work remotely from Germany.\n• Fluent in German and English (reading and writing), with strong command of tone, grammar, and nuance.\n• Strong analytical skills with the ability to compare outputs, spot contradictions, and assess evidence.\n• Excellent attention to detail and consistent application of annotation guidelines.\n• Comfortable working with web tools, task queues, and structured evaluation rubrics.\n• Ability to produce clear written rationales that reflect sound reasoning and validation.",{"h2":37,"desc":38},"Preferred Qualifications","• Prior experience in data labeling, prompt evaluation, QA evaluation, or content safety labeling.\n• Familiarity with LLM evaluation, RLHF concepts, and model behavior failure modes.\n• Experience interpreting complex guidelines and maintaining annotation guidelines compliance over time.\n• Self-driven, reliable, and able to work independently while meeting quality and throughput expectations.",{"h2":40,"desc":41},"Compensation","Hourly pay: USD $35–$40 per hour (rate depends on skills, performance, and project needs). Full-time, remote.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with a brief summary of your Germany location, English\u002FGerman proficiency, and any experience with evaluation, data labeling, or QA. Selected candidates will complete an assessment aligned to RLHF and large language model evaluation workflows.","AI Data Operations"]