[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-generalist-trainer-jobs-kiel-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. The role is remote, 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, write reasoning\u002Frationales, follow annotation guidelines compliance, and support RLHF and training data quality workstreams, including prompt evaluation and content safety labeling.","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 follow guidelines are essential; you will be trained on the evaluation framework.","Do I need AI experience?",{"A":17,"Q":18},"Fluency in both English and German is required because you will assess and write judgments in both languages.","What languages are required?",{"A":20,"Q":21},"Domains can include general knowledge, writing quality, instruction-following, reasoning, factuality, and content safety—supporting large language model evaluation and model performance improvement.","What domains are covered?","ai-generalist-trainer-jobs-kiel-germany",{"desc":24,"title":25,"content":26},"Rexzone is hiring Germany-based, bilingual (English\u002FGerman) AI Generalist Trainers to support RLHF, large language model evaluation, and training data quality by evaluating, ranking, and QA-checking model outputs to drive model performance improvement.","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 work remotely on AI\u002FLLM workflows focused on RLHF, prompt evaluation, and large language model evaluation. Your work will directly impact training data quality through careful evaluation, ranking, and validation of model-generated responses, following strict annotation guidelines compliance to enable measurable model performance improvement.",{"h2":31,"desc":32},"Key Responsibilities","Evaluate and rank model-generated outputs in English and German; perform QA evaluation to verify correctness, completeness, and instruction-following; write clear reasoning and rationales for rankings and quality decisions; validate labels against annotation guidelines compliance and resolve edge cases; perform prompt evaluation and pairwise preference judgments for RLHF; conduct content safety labeling and policy-based assessments; identify recurring error patterns and escalate issues impacting training data quality; contribute to calibration by comparing decisions with team standards to improve consistency and model performance improvement.",{"h2":34,"desc":35},"Basic Qualifications","Based in Germany with authorization to work remotely; fluent in English and German (professional reading and writing); strong analytical skills with the ability to apply rules consistently; excellent attention to detail and comfort with repetitive evaluation, ranking, and QA workflows; ability to explain reasoning clearly and concisely when documenting decisions.",{"h2":37,"desc":38},"Preferred Qualifications","Prior experience in data labeling, QA evaluation, or annotation work; familiarity with LLM evaluation, RLHF concepts, or prompt evaluation; experience interpreting and applying annotation guidelines; self-driven, reliable, and able to manage time effectively in a remote environment; interest in content safety labeling and training data quality improvement.",{"h2":40,"desc":41},"Compensation and Schedule","Pay is $35–$40 per hour (USD), full-time, remote. Exact scheduling and weekly hours are aligned with project needs and Germany-based availability.",{"h2":43,"desc":44},"How to Apply","Apply through Rexzone with your updated resume\u002FCV and a brief note confirming Germany-based location and English\u002FGerman fluency. Selected candidates may complete a short evaluation task focused on large language model evaluation and annotation guidelines compliance.","AI Data Operations"]