[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-entry-level-ai-annotation-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 role, and you must be based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation, rank model-generated outputs (RLHF-style), write rationales explaining your reasoning, run QA evaluation checks, and validate labeling decisions for training data quality.","What tasks will I do?",{"A":14,"Q":15},"AI experience is helpful but not strictly required. Strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance requirements are essential.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, including professional reading and writing in both languages.","What languages are required?",{"A":20,"Q":21},"Domains can include general knowledge, customer support-style prompts, summarization, reasoning tasks, and content safety labeling scenarios, with a focus on model performance improvement and training data quality.","What domains are covered?","entry-level-ai-annotation-jobs-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based English & German AI Generalist Trainers to support large language model evaluation and model performance improvement through RLHF-style ranking, prompt evaluation, and training data quality workflows. You will assess model-generated outputs, write clear rationales, and perform QA evaluation to ensure annotation guidelines compliance. This remote, full-time role requires bilingual German and English fluency and strong attention to detail to validate outputs, improve training data quality, and drive measurable model performance improvement.","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 evaluate and rank LLM outputs across varied tasks, produce well-reasoned justifications, and help enforce consistent labeling decisions. Your work directly impacts training data quality, annotation guidelines compliance, and large language model evaluation outcomes for safer, more useful AI systems.",{"h2":31,"desc":32},"Responsibilities","Perform large language model evaluation by reviewing model outputs for correctness, helpfulness, and safety; Rank and compare responses using RLHF-style preference ranking and prompt evaluation criteria; Conduct QA evaluation by validating labels, auditing edge cases, and documenting issues; Write concise, evidence-based rationales that explain reasoning and support consistent judgments; Apply annotation guidelines compliance checks and escalate ambiguous cases with clear recommendations; Validate multilingual (German\u002FEnglish) content for fluency, intent preservation, and policy alignment; Support training data quality initiatives by identifying systematic errors and proposing guideline clarifications; Maintain high throughput while meeting accuracy targets and quality standards.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and authorized to work from Germany; Fluent in German and English (professional reading and writing); Strong analytical skills with the ability to evaluate nuanced content and follow rubrics; Excellent attention to detail and consistency across repeated evaluations; Comfortable working with web tools and structured annotation platforms; Ability to explain reasoning clearly and apply rules consistently for validation and QA.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience with data labeling, RLHF, LLM evaluation, or content safety labeling; Familiarity with prompt evaluation, preference ranking, and quality sampling methods; Experience working with annotation guidelines and improving guideline clarity over time; Self-driven, reliable, and able to manage time effectively in a remote environment; Interest in AI reliability, safety, and model performance improvement.",{"h2":40,"desc":41},"Pay and Schedule","Compensation is USD $35–$40 per hour (based on skills and task complexity). This is a remote, full-time role supporting ongoing evaluation, ranking, QA, reasoning, and validation workflows.",{"h2":43,"desc":44},"How to Apply","Apply through Rexzone by submitting your resume\u002FCV and a brief note confirming you are Germany-based and fluent in both German and English. Selected candidates may complete a short skills assessment covering rubric-based evaluation, reasoning quality, and annotation guidelines compliance.","AI Data Operations"]