[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-hiring-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 outputs, perform QA evaluation and validation, follow annotation guidelines compliance, write rationales, and support training data quality for large language model evaluation and RLHF workflows.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not required. Strong analytical skills, attention to detail, and the ability to write clear reasoning in English and German are essential.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both English and German is required, including reading and writing.","What languages are required?",{"A":20,"Q":21},"Tasks may include general knowledge, customer-support style prompts, summarization, rewriting, reasoning, and content safety labeling, depending on project needs.","What domains are covered?","ai-generalist-trainer-hiring-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual (English\u002FGerman) AI Generalist Trainers to support large language model evaluation through RLHF workflows, prompt evaluation, and QA evaluation. You will assess, rank, and validate model-generated outputs to strengthen training data quality, ensure annotation guidelines compliance, and drive model performance improvement across multilingual use cases.","Germany-Based English & German AI Generalist Trainer 2026 May",[27,30,33,36,39,42],{"h2":28,"desc":29},"About the Role","As an AI Generalist Trainer at Rexzone, you will evaluate and improve AI systems by reviewing model responses in English and German. Your work will focus on large language model evaluation, RLHF-style ranking, and evidence-based reasoning to produce high-quality labels and rationales. You will follow annotation guidelines compliance standards, perform QA evaluation and validation checks, and help improve training data quality to enable measurable model performance improvement.",{"h2":31,"desc":32},"Key Responsibilities","Perform large language model evaluation by assessing model-generated outputs for correctness, usefulness, safety, and instruction-following; rank and compare responses using RLHF-style preference judgments; write clear rationales that explain reasoning, tradeoffs, and errors; execute QA evaluation by auditing labeled items, checking consistency, and escalating ambiguous cases; validate datasets for annotation guidelines compliance, language quality (English\u002FGerman), and policy adherence; conduct prompt evaluation and scenario coverage checks to improve training data quality; label and categorize content, including content safety labeling when required; document edge cases and propose guideline updates that support model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","Must be based in Germany and able to work remotely from Germany; fluent in English and German (reading and writing) with strong grammar and writing clarity; strong analytical skills with the ability to evaluate nuanced reasoning and detect subtle errors; high attention to detail and consistent adherence to annotation guidelines compliance; ability to provide structured judgments, rankings, and validations under time and quality constraints.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, QA evaluation, or annotation projects (including content safety labeling); familiarity with LLM evaluation, RLHF concepts, prompt evaluation, or human preference data; comfortable explaining reasoning and writing concise, defensible rationales; self-driven, reliable, and able to work independently in a remote environment while meeting throughput and training data quality targets.",{"h2":40,"desc":41},"Compensation","Hourly pay: $35–$40 USD per hour (based on skills, performance, and project needs).",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with a short summary of your English\u002FGerman proficiency, Germany location, and any experience with data labeling, QA evaluation, or large language model evaluation. Qualified candidates may be asked to complete a brief skills assessment focused on ranking, evaluation, and rationale writing.","AI Data Operations"]