[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-trainer-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 remote, full-time role, and you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation tasks such as evaluating and ranking model outputs, writing rationales, running validation and QA evaluation checks, and completing prompt evaluation and data labeling when required.","What tasks will I do?",{"A":14,"Q":15},"AI experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance standards are essential.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required for bilingual evaluation and training data quality work.","What languages are required?",{"A":20,"Q":21},"Tasks may cover general knowledge, writing quality, instruction following, reasoning, and content safety labeling, all aimed at model performance improvement through RLHF-style feedback.","What domains are covered?","ai-trainer-jobs-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual (English\u002FGerman) AI Generalist Trainers to support AI\u002FLLM workflows through RLHF-style evaluation, data labeling, prompt evaluation, and QA evaluation. You will assess, rank, and validate model outputs with clear rationales to strengthen training data quality, drive annotation guidelines compliance, and enable model performance improvement through large language model evaluation.","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 systems by reviewing model-generated responses, ranking alternatives, and writing concise reasoning. Your work directly supports RLHF, training data quality initiatives, and large language model evaluation across bilingual use cases. You will follow annotation guidelines compliance standards, apply content safety labeling where needed, and perform validation and QA evaluation to ensure reliable, high-quality training signals for model performance improvement.",{"h2":31,"desc":32},"Responsibilities","Perform large language model evaluation by assessing helpfulness, accuracy, and safety of outputs; Rank multiple model responses and provide clear, evidence-based reasoning; Execute QA evaluation to detect errors, inconsistencies, and guideline violations; Validate annotations for annotation guidelines compliance and escalate edge cases; Conduct prompt evaluation and refine task understanding to improve evaluation consistency; Apply data labeling and content safety labeling when tasks require policy-based classification; Support training data quality by identifying ambiguity, documenting patterns, and suggesting process improvements; Maintain high throughput while preserving attention to detail and traceable decision-making.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and authorized to work as required for remote engagement; Fluent in German and English (written and reading comprehension required for nuanced evaluation); Strong analytical skills with the ability to compare outputs, spot logical gaps, and justify rankings; Exceptional attention to detail and consistency when applying annotation guidelines; Comfortable working with web-based labeling\u002Fevaluation tools and structured rubrics; Ability to write concise rationales and perform validation and QA checks.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in AI data annotation, data labeling, or QA evaluation; Familiarity with RLHF concepts, prompt evaluation, and LLM evaluation methodologies; Experience with content safety labeling or policy-driven classification; Self-driven, reliable, and able to manage tasks independently in a remote environment; Interest in iterative model performance improvement and continuous training data quality enhancement.",{"h2":40,"desc":41},"Compensation","Pay range: $35–$40 USD per hour, dependent on assessment performance, task complexity, and quality metrics.",{"h2":43,"desc":44},"How to Apply","Apply through Rexzone with your updated resume\u002FCV and a brief summary of bilingual English\u002FGerman experience. Candidates may be asked to complete an evaluation exercise focused on ranking, reasoning, and annotation guidelines compliance.","AI Data Operations"]