[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-jobs-germany-no-experience":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 for candidates based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation, RLHF-style ranking, prompt evaluation, QA evaluation, validation against annotation guidelines compliance, and write reasoning 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. Strong analytical skills, attention to detail, and the ability to follow annotation guidelines are essential; we provide task guidelines and quality standards.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both English and German is required, including reading and writing.","What languages are required?",{"A":20,"Q":21},"Domains commonly include general knowledge, reasoning, summarization, customer-style requests, content safety labeling, and other areas relevant to training data quality and model performance improvement.","What domains are covered?","ai-generalist-trainer-jobs-germany-no-experience",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual English\u002FGerman AI Generalist Trainers to perform large language model evaluation, RLHF-style ranking, and QA evaluation to improve model performance improvement through consistent training data quality and annotation guidelines compliance.","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 support AI\u002FLLM workflows by evaluating, ranking, and validating model-generated outputs. Your work contributes directly to RLHF, training data quality, and model performance improvement by producing clear rationales, following annotation guidelines compliance, and applying content safety labeling when needed.",{"h2":31,"desc":32},"Key Responsibilities","Conduct large language model evaluation by scoring and ranking model responses; perform RLHF-style preference judgments and prompt evaluation; execute QA evaluation to detect errors, policy issues, and inconsistency; write concise reasoning rationales to justify rankings and decisions; validate labeling outputs against annotation guidelines compliance and training data quality targets; review edge cases and apply content safety labeling where applicable; document findings and escalate recurring issues to improve model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","You must be based in Germany and authorized to work from Germany. Fluency in English and German (reading and writing) is required. Strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance are essential. You can evaluate complex information, compare alternatives, and write clear rationales for ranking decisions.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, QA evaluation, or annotation projects. Familiarity with LLM evaluation concepts (e.g., hallucinations, instruction following, safety, tone). Comfort with prompt evaluation and RLHF-style ranking tasks. Self-driven, reliable, and able to deliver consistent training data quality in a remote environment.",{"h2":40,"desc":41},"Compensation and Schedule","This is a full-time remote role. Pay is USD $35–$40 per hour, based on skills and assessment performance. Work involves structured evaluation tasks with quality checks and clear guidelines.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with your resume\u002FCV and a brief summary of your bilingual English\u002FGerman proficiency and any relevant evaluation, QA, or data labeling experience. Qualified candidates may be asked to complete an assessment focused on large language model evaluation and training data quality.","AI Data Operations"]