[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-contract-ai-generalist-trainer-remote-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 evaluate and rank model-generated outputs, perform QA evaluation and validation, write reasoning\u002Frationales, follow annotation guidelines compliance, and contribute to training data quality for RLHF and large language model evaluation.","What tasks will I do?",{"A":14,"Q":15},"AI\u002Fannotation experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to apply guidelines consistently are essential.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both English and German is required, including strong written communication in both languages.","What languages are required?",{"A":20,"Q":21},"Domains vary by project and can include general knowledge, customer support-style dialogue, content safety labeling, reasoning tasks, and multilingual prompt evaluation for large language model evaluation.","What domains are covered?","contract-ai-generalist-trainer-remote-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual (English\u002FGerman) AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and validating model outputs to improve training data quality and drive model performance improvement.","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 contribute to AI\u002FLLM workflows by evaluating and ranking model-generated responses, performing QA evaluation, and writing clear rationales that support RLHF. Your work strengthens training data quality through careful validation, prompt evaluation, and annotation guidelines compliance, directly enabling model performance improvement across multiple domains.",{"h2":31,"desc":32},"Responsibilities","Evaluate and rank large language model outputs for accuracy, helpfulness, and safety; perform QA checks and validation to ensure training data quality; write concise reasoning and rationales explaining ranking decisions in English and German; follow annotation guidelines compliance and document edge cases; conduct prompt evaluation and compare alternative model responses; identify errors, ambiguities, or policy issues and escalate with clear evidence; apply content safety labeling and policy-based decisioning; maintain consistent scoring and support calibration sessions to improve inter-annotator agreement; verify data labeling correctness and flag quality risks that could impact model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and authorized to work as required; fluent in both English and German (written and spoken); strong analytical skills with the ability to evaluate nuanced text and evidence; exceptional attention to detail and consistent judgment for QA evaluation; comfortable following detailed annotation guidelines and producing clear written reasoning; reliable high-speed internet and ability to work independently in a remote environment.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience with AI data labeling, RLHF, prompt evaluation, or large language model evaluation; familiarity with LLM behavior, common failure modes, and model performance improvement concepts; experience with content safety labeling or policy-driven QA; self-driven, organized, and able to manage throughput and quality targets; comfort learning new rubrics and applying annotation guidelines compliance across changing requirements.",{"h2":40,"desc":41},"Compensation and Schedule","This is a full-time, remote role for candidates based in Germany. Compensation is $35–$40 USD per hour, depending on assessment performance and project needs.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with a resume\u002FCV highlighting bilingual English\u002FGerman writing experience, analytical evaluation work, and any exposure to LLM evaluation, RLHF, data labeling, or QA evaluation. Selected candidates may complete a short skills assessment focused on ranking, reasoning, and annotation guidelines compliance.","AI Data Operations"]