Germany- English & German AI Generalist Trainer

Rex.zone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation by ranking model outputs, performing QA evaluation, and writing clear rationales that improve training data quality and model performance over iterative training cycles.

• Evaluate and rank model-generated responses for task requirements, content safety, and linguistic quality in English and German
• Perform QA evaluation on labeled data, verifying annotation guidelines compliance and correcting inconsistencies
• Write concise rationales explaining reasoning, tradeoffs, and failure modes to support reviewer validation
• Conduct prompt evaluation and comparative ranking for RLHF-style preference data and LLM evaluation
• Validate edge cases, flag ambiguity, and propose guideline clarifications to improve training data quality
• Apply content safety labeling when required and escalat policy-sensitive issues for review
• Track recurring errors, report insights, and provide structured feedback to drive model performance improvement

• Must be based in Germany and able to work remotely within Germany
• Fluency in English and German (reading, writing, comprehension) with strong grammar and clarity
• Strong analytical skills and comfort with structured evaluation, ranking, and validation
• Excellent attention to detail and consistency when following annotation guidelines
• Ability to explain reasoning clearly and objectively when documenting decisions
• Reliable internet connection and ability to meet quality and throughput expectations

• Experience with data labeling, content review, QA evaluation, or annotation projects
• Familiarity with LLM evaluation, RLHF concepts, prompt evaluation, or model output ranking
• Experience applying content safety labeling or policy-based evaluations
• Self-driven and organized; comfortable working independently in a remote environment

This is a full-time remote role. Compensation is hourly and depends on skills and performance during onboarding and ongoing quality reviews.