[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-hybrid-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, ranking and preference judgments (RLHF-style), QA evaluation, validation checks, prompt evaluation, and write rationales to support training data quality and model performance improvement.","What tasks will I do?",{"A":14,"Q":15},"AI or annotation experience is preferred but not required. Strong analytical skills, attention to detail, and consistent annotation guidelines compliance are required.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, including reading and writing for bilingual evaluation tasks.","What languages are required?",{"A":20,"Q":21},"Generalist domains may include everyday knowledge, customer support-style queries, reasoning tasks, summarization, rewriting, content safety labeling, and other scenarios used in RLHF and LLM evaluation workflows.","What domains are covered?","hybrid-ai-generalist-trainer-jobs-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based AI Generalist Trainers to support AI\u002FLLM workflows through RLHF, large language model evaluation, and training data quality improvement. You will assess, rank, and QA model-generated outputs in English and German, write clear rationales, and follow annotation guidelines compliance to drive model performance improvement across real-world tasks.","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 evaluate and improve AI systems by reviewing model outputs, ranking alternatives, and documenting reasoning. Your work directly supports RLHF pipelines, large language model evaluation, and training data quality. You will apply annotation guidelines compliance, perform validation and QA evaluation, and help drive model performance improvement through consistent, high-quality judgments.",{"h2":31,"desc":32},"Responsibilities","Perform large language model evaluation by reviewing model-generated responses in English and German; Rank multiple outputs using RLHF-style preference ranking and clear scoring rubrics; Write concise, evidence-based rationales explaining reasoning behind rankings and decisions; Execute QA evaluation by checking labels for consistency, completeness, and guideline adherence; Validate edge cases, resolve ambiguities, and flag policy or instruction issues for guideline updates; Apply annotation guidelines compliance to ensure training data quality across tasks and domains; Conduct prompt evaluation and content safety labeling to support safe, reliable model behavior; Track errors, document patterns, and suggest process improvements that contribute to model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","Must be based in Germany with authorization to work; Fluent in German and English (reading and writing required for evaluation); Strong analytical skills with the ability to compare options, detect subtle issues, and justify decisions; High attention to detail and ability to follow annotation guidelines compliance consistently; Comfortable working independently in a remote setting with reliable internet and secure work habits.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in AI data labeling, content moderation, QA, or evaluation workflows; Familiarity with LLM evaluation, RLHF concepts, and prompt evaluation; Experience writing structured rationales and applying rubrics for ranking and validation; Self-driven, organized, and able to manage throughput while maintaining training data quality.",{"h2":40,"desc":41},"Compensation and Work Type","Remote, Full-Time role based in Germany. Pay range is $35–$40 USD per hour, depending on assessment outcomes, quality, and role alignment. This position focuses on training data quality, evaluation, and QA that supports model performance improvement.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with an up-to-date resume highlighting bilingual English\u002FGerman work, analytical evaluation experience, and any AI\u002Fannotation exposure. Include brief examples of structured reasoning, ranking decisions, or QA work that demonstrate attention to detail and guideline adherence.","AI Data Operations"]