[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-jobs-aachen-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 including evaluation, ranking, QA evaluation, validation, prompt evaluation, data labeling, content safety labeling, and writing rationales to improve training data quality and model performance improvement.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not always required. You must be able to follow annotation guidelines compliance, apply consistent reasoning, and deliver high-quality evaluations; training and calibration are provided.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both English and German is required, including strong written communication in each language.","What languages are required?",{"A":20,"Q":21},"Domains vary by project and can include general knowledge, customer support style tasks, content safety scenarios, and multilingual prompts, all within RLHF and LLM evaluation workflows.","What domains are covered?","ai-generalist-trainer-jobs-aachen-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based bilingual (English\u002FGerman) AI Generalist Trainers to support large language model evaluation across RLHF workflows. You will evaluate, rank, and QA model outputs, write clear rationales, and follow annotation guidelines compliance to strengthen training data quality and drive model performance improvement.","Germany-Based English & German AI Generalist Trainer (Remote, Full-Time) 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 contribute to RLHF and large language model evaluation by assessing model-generated responses for helpfulness, accuracy, safety, and instruction-following. Your work directly improves training data quality through consistent application of annotation guidelines compliance, robust QA evaluation, and careful reasoning in written rationales to support model performance improvement.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank LLM outputs against project rubrics and prompt intent; perform QA evaluation and validation checks to ensure training data quality and consistency; write concise, evidence-based rationales in English and German explaining ranking decisions and reasoning; apply annotation guidelines compliance for data labeling, content safety labeling, and prompt evaluation tasks; identify edge cases, ambiguity, and failure modes to support model performance improvement; maintain documentation and feedback loops with reviewers to resolve guideline questions and calibration issues.",{"h2":34,"desc":35},"Basic Qualifications","Must be based in Germany and authorized to work as an independent contractor\u002Femployee per local requirements; fluent in English and German (C1\u002FC2) with strong writing skills in both; strong analytical skills with the ability to compare outputs, spot contradictions, and justify decisions; excellent attention to detail and consistency when following annotation guidelines compliance; comfortable working remotely with reliable internet and the ability to meet quality and throughput targets.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in AI\u002Fannotation work such as RLHF, data labeling, prompt evaluation, QA evaluation, or LLM evaluation; familiarity with how large language models behave, including common hallucination patterns and safety concerns; self-driven, organized, and responsive to feedback during calibration and validation cycles; experience working with multilingual datasets and nuanced German\u002FEnglish language use across domains.",{"h2":40,"desc":41},"Compensation and Schedule","Pay is USD $35–$40 per hour, depending on assessment results and project scope. Full-time remote capacity is expected, with structured calibration, ongoing QA, and periodic validation reviews.",{"h2":43,"desc":44},"How to Apply","Apply through Rexzone with an up-to-date CV and a short note describing your bilingual English\u002FGerman writing experience and any relevant evaluation, QA, or annotation work. Qualified candidates may complete a language and large language model evaluation task as part of the selection process.","AI Data Operations"]