[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-annotation-jobs-hamburg-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 perform large language model evaluation tasks such as evaluation, ranking, QA evaluation, prompt evaluation, validation, and writing rationales to support RLHF and training data quality.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not required. You must be able to follow annotation guidelines compliance standards, apply consistent judgment, and produce clear reasoning.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required for bilingual evaluation and writing tasks.","What languages are required?",{"A":20,"Q":21},"Domains vary by project and may include general knowledge, summarization, translation, customer support style writing, content safety labeling, and other multilingual instruction-following scenarios.","What domains are covered?","ai-annotation-jobs-hamburg-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, large language model evaluation, and training data quality improvement by evaluating, ranking, and validating model outputs with clear rationales.","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 large language model outputs in real-world AI\u002FLLM workflows. Your work will focus on RLHF-style ranking, prompt evaluation, QA evaluation, and reasoning-based feedback to drive model performance improvement. You will follow annotation guidelines compliance requirements, apply consistent evaluation rubrics, and contribute directly to training data quality across multilingual (German\u002FEnglish) tasks.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank model-generated responses against project rubrics and annotation guidelines; perform QA evaluation to identify errors, inconsistencies, and policy violations; write clear rationales that explain reasoning, preference decisions, and correctness; validate outputs for factuality, coherence, safety, and instruction-following; conduct prompt evaluation and pairwise comparisons to support RLHF pipelines; review labeled data for training data quality, including annotation guidelines compliance; flag edge cases, ambiguous instructions, and data quality risks; apply content safety labeling where required and document outcomes; collaborate asynchronously to improve evaluation consistency and model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","Must be based in Germany and able to work remotely full-time. Fluency in both German and English (reading, writing, and comprehension) is required. Strong analytical skills, attention to detail, and the ability to provide structured reasoning and consistent judgments are essential. Comfortable following detailed annotation guidelines and meeting quality targets in large language model evaluation workflows.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, annotation, QA, search evaluation, content moderation, or AI evaluation. Familiarity with LLM evaluation, RLHF concepts, and prompt evaluation methods. Self-driven, reliable, and able to manage time independently in a remote environment. Experience applying content safety labeling and improving training data quality through iterative feedback.",{"h2":40,"desc":41},"Compensation","USD $35–$40 per hour (hourly), depending on skills and task scope. Full-time remote role based in Germany.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with a resume\u002FCV highlighting bilingual German\u002FEnglish writing skills, evaluation or QA experience, and any exposure to AI\u002FLLM workflows. Include a brief note on your approach to consistent ranking, reasoning, and annotation guidelines compliance.","AI Data Operations"]