[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-rater-jobs-berlin-germany":3},{"Ques":4,"Slug":22,"Header":23,"job_category":39},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19],{"A":8,"Q":9},"Yes. This is a remote, full-time position; you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation tasks including RLHF-style ranking, prompt evaluation, QA evaluation, validation against annotation guidelines, content safety labeling when required, and writing concise rationales that support training data quality.","What tasks will I do?",{"A":14,"Q":15},"AI or annotation experience is preferred but not strictly required. You must be comfortable with structured evaluation, careful reasoning, and consistent application of annotation guidelines compliance.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required to evaluate and write rationales for bilingual content.","What languages are required?",{"A":20,"Q":21},"Domains vary and may include general knowledge, business writing, customer support, education, reasoning tasks, and content safety labeling scenarios, all focused on improving training data quality and model performance improvement.","What domains are covered?","ai-rater-jobs-berlin-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual (German\u002FEnglish) AI Generalist Trainers to support large language model evaluation through RLHF, LLM evaluation, and training data quality improvements by ranking outputs, validating reasoning, and performing QA evaluation to drive model performance improvement.","Germany-Based English & German AI Generalist Trainer 2026 May",[27,30,33,36],{"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 assessing model-generated outputs across diverse domains. You will apply RLHF-style ranking and prompt evaluation, write clear rationales, and follow annotation guidelines compliance to produce high-quality training signals. Your work directly supports training data quality and large language model evaluation, enabling measurable model performance improvement.",{"h2":31,"desc":32},"What You Will Do","You will review prompts and model responses in German and English, compare alternatives, rank outputs, and document reasoning to support consistent evaluation. You will also perform QA evaluation and validation against annotation guidelines, flag content safety labeling issues, and contribute to continuous improvement of evaluation rubrics and training data quality checks.",{"h2":34,"desc":35},"Compensation and Schedule","This is a full-time, remote role for candidates based in Germany. Compensation is $35–$40 USD per hour, based on performance, task complexity, and quality outcomes.",{"h2":37,"desc":38},"How Success Is Measured","Success is measured by annotation guidelines compliance, accuracy of evaluation and ranking decisions, strength and consistency of written rationales, QA pass rates, validation outcomes, and overall contribution to training data quality and model performance improvement.","AI Data Operations"]