[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-entry-level-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 full-time remote role for candidates based in Germany.","Is this role remote?",{"A":11,"Q":12},"You will perform large language model evaluation, rank model outputs (RLHF-style), run QA evaluation and validation checks, follow annotation guidelines compliance, and write 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. Rexzone provides guidelines and rubrics; strong analytical reasoning, attention to detail, and consistent evaluation quality are essential.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both German and English is required, including strong reading and writing ability.","What languages are required?",{"A":20,"Q":21},"Domains vary by project and can include general knowledge, reasoning, writing quality, instruction-following, and content safety labeling, all within structured prompt evaluation and response ranking workflows.","What domains are covered?","entry-level-ai-generalist-trainer-jobs-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based AI Generalist Trainers to support large language model evaluation across English and German. You will apply RLHF-style evaluation, ranking, and QA evaluation to improve training data quality and drive model performance improvement. This full-time remote role focuses on prompt evaluation, data labeling, and training data quality checks through clear rationales, validation, and annotation guidelines compliance.","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\u002FLLM workflows by assessing model-generated outputs, ranking responses, and writing concise reasoning. Your work directly supports training data quality, annotation guidelines compliance, and model performance improvement through large language model evaluation and structured QA evaluation.",{"h2":31,"desc":32},"Responsibilities","Perform large language model evaluation for English and German outputs, including RLHF-style preference ranking and scoring.\nConduct prompt evaluation and response evaluation, identifying issues in helpfulness, correctness, tone, safety, and instruction-following.\nWrite clear rationales that explain evaluation decisions and reasoning for rankings and labels.\nExecute QA evaluation on completed tasks, validate edge cases, and correct inconsistencies to protect training data quality.\nFollow annotation guidelines compliance requirements and document ambiguities, policy gaps, and escalation items.\nApply content safety labeling where required, including identifying unsafe, disallowed, or policy-sensitive content.\nCollaborate with project leads to refine rubrics, improve evaluation consistency, and support model performance improvement.\nTrack errors, validate fixes, and contribute to continuous improvement of evaluation and labeling workflows.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany and authorized to work from Germany for a remote, full-time schedule.\nFluent in German and English (reading, writing, and nuanced comprehension).\nStrong analytical skills with the ability to compare outputs and justify rankings using evidence-based reasoning.\nExcellent attention to detail and consistency to maintain training data quality and annotation guidelines compliance.\nComfort working with web-based tooling and structured evaluation rubrics.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, QA evaluation, content moderation, or annotation work.\nFamiliarity with LLMs, RLHF concepts, prompt evaluation, and large language model evaluation.\nExperience applying content safety labeling policies and handling sensitive topics appropriately.\nSelf-driven, dependable, and able to maintain high quality while working independently in a remote environment.",{"h2":40,"desc":41},"Pay","Compensation is $35–$40 USD per hour, based on skills and role alignment.",{"h2":43,"desc":44},"How to Apply","Apply to Rexzone with a brief summary of your bilingual (German\u002FEnglish) experience and any relevant evaluation, QA, or annotation background. If selected, you will complete a short skills assessment focused on ranking, validation, and rationale quality.","AI Data Operations"]