[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-junior-ai-generalist-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 evaluation and ranking of model outputs, QA evaluation, prompt evaluation, validation against rubrics, and writing clear 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 required. Strong analytical skills, attention to detail, and consistent annotation guidelines compliance are essential; Rexzone provides task guidelines and calibration.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both English and German is required, including the ability to write detailed rationales in each language.","What languages are required?",{"A":20,"Q":21},"You will evaluate content across general knowledge, reasoning, writing quality, instruction-following, and content safety labeling scenarios, with a focus on training data quality for RLHF and related evaluation workflows.","What domains are covered?","junior-ai-generalist-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, prompt evaluation, and large language model evaluation. You will assess, rank, and QA model outputs, write clear rationales, and follow annotation guidelines compliance to strengthen training data quality and drive model performance improvement across multiple domains.","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 an AI Generalist Trainer at Rexzone, you will help improve model behavior by evaluating and ranking model-generated responses in English and German. Your work directly supports RLHF and training data quality by applying annotation guidelines, validating outputs, and documenting reasoning to enable model performance improvement.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank model-generated outputs for correctness, helpfulness, safety, and policy adherence; perform QA evaluation and validation checks to ensure training data quality; write concise, evidence-based rationales explaining ranking and scoring decisions; follow annotation guidelines compliance, escalate edge cases, and propose guideline clarifications; perform prompt evaluation and identify failure modes (hallucinations, bias, unsafe content, poor reasoning); label content for content safety labeling and domain relevance; track issues and patterns that impact model performance improvement; collaborate asynchronously with operations leads to meet quality and throughput targets.",{"h2":34,"desc":35},"Basic Qualifications","Must be based in Germany; fluent in English and German (C1+ equivalent) with strong writing skills in both; strong analytical skills with the ability to compare outputs and justify rankings; exceptional attention to detail and consistency when following annotation guidelines; comfort working with web-based annotation tools and structured rubrics; ability to handle sensitive content per content safety labeling requirements.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, QA evaluation, or large language model evaluation; familiarity with RLHF concepts, ranking tasks, and prompt evaluation; understanding of training data quality best practices and common LLM failure patterns; self-driven, dependable, and able to manage time effectively in a remote environment.",{"h2":40,"desc":41},"Compensation and Work Setup","Remote (Germany). Full-time. Pay range: $35–$40 per hour (USD), depending on evaluation quality and role fit. You will work on structured evaluation and annotation queues with clear guidelines and quality standards.",{"h2":43,"desc":44},"How to Apply","Apply through Rexzone and be prepared to complete a short qualification assessment focused on bilingual (English\u002FGerman) evaluation, ranking, and rationale writing. Candidates who demonstrate strong reasoning, annotation guidelines compliance, and consistent QA will be prioritized.","AI Data Operations"]