[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-remote-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 for candidates based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation tasks such as ranking and evaluation of model outputs, QA evaluation and validation against rubrics, prompt evaluation, content safety labeling when required, and writing short rationales to support training data quality and model performance improvement.","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 structured reasoning, and deliver consistent evaluations; we provide task guidelines and calibration.","Do I need AI experience?",{"A":17,"Q":18},"Professional fluency in both English and German is required, including reading and writing.","What languages are required?",{"A":20,"Q":21},"Tasks can span general knowledge, business writing, customer support, safety and policy scenarios, and other real-world prompts used in RLHF and training data quality workflows.","What domains are covered?","ai-generalist-trainer-remote-jobs-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 drive training data quality and 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 a Germany-based English & German AI Generalist Trainer at Rexzone, you will contribute to AI\u002FLLM workflows by performing RLHF-style evaluation, prompt evaluation, and QA evaluation on model-generated outputs. You will follow annotation guidelines compliance requirements, write clear rationales, and help improve training data quality that directly supports model performance improvement and large language model evaluation.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank English and German model outputs using project rubrics and annotation guidelines; perform QA evaluation to detect inconsistencies, bias, hallucinations, policy violations, and formatting issues; write concise, well-reasoned rationales explaining rankings and decisions; validate task inputs\u002Foutputs and flag edge cases for guideline updates; apply content safety labeling and safety policy checks during large language model evaluation; conduct prompt evaluation by assessing instruction-following, grounding, tone, and completeness; track recurring error patterns and propose actionable feedback to improve training data quality; maintain annotation guidelines compliance, meet throughput targets, and support calibration with the team.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and eligible to work as a remote contractor\u002Femployee per local requirements; fluent in English and German (reading and writing with professional accuracy); strong analytical skills with the ability to compare alternatives and justify rankings; exceptional attention to detail and consistent annotation guidelines compliance; ability to reason about ambiguity, validate outputs against requirements, and document decisions clearly; comfortable working with web-based labeling tools and structured rubrics.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, prompt evaluation, QA evaluation, or content moderation\u002Fcontent safety labeling; familiarity with RLHF, LLM evaluation, and common failure modes (hallucinations, instruction drift, unsafe content); experience writing structured rationales and performing multi-criteria ranking; self-driven, reliable, and able to manage time independently in a remote environment; interest in training data quality initiatives and continuous model performance improvement.",{"h2":40,"desc":41},"Compensation","USD $35–$40 per hour, based on experience and project needs.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with a brief summary of your bilingual (English\u002FGerman) experience, any evaluation\u002Fannotation background, and your availability. Candidates may complete a language and large language model evaluation calibration task.","AI Data Operations"]