Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation workflows. You will evaluate, rank, and QA model outputs, write clear rationales, and follow strict annotation guidelines compliance to strengthen training data quality and drive model performance improvement.
As an AI Generalist Trainer at Rexzone, you will improve AI systems by performing large language model evaluation tasks such as ranking responses, validating reasoning quality, and applying content safety labeling. Your work directly supports RLHF pipelines, strengthens training data quality, and accelerates model performance improvement through consistent, high-quality judgments. This is a remote, full-time role for candidates based in Germany with fluent English and German.
Evaluate and rank model-generated outputs in English and German using defined rubrics; perform QA evaluation checks to validate label accuracy and annotation guidelines compliance; write concise rationales explaining reasoning behind rankings and decisions; validate factuality, instruction-following, tone, and safety constraints across diverse prompts; identify edge cases and policy gaps, then provide structured feedback to improve labeling instructions; maintain high training data quality by resolving ambiguity, escalating unclear cases, and documenting decisions.
Must be based in Germany; fluent in English and German (reading and writing); strong analytical skills with the ability to compare outputs and justify rankings; exceptional attention to detail and consistency across repetitive evaluation tasks; reliable internet connection and ability to work independently in a remote environment.
Prior experience with data labeling, content moderation, QA, or annotation projects; familiarity with LLM evaluation, RLHF concepts, and prompt evaluation; comfort working with guidelines, edge cases, and iterative policy updates; self-driven mindset with strong ownership, time management, and quality-focused work habits.
Pay is $35–$40 USD per hour, depending on skills and evaluation performance. Full-time remote engagement.
Apply through Rexzone with your resume/CV and a brief note confirming Germany location and English/German proficiency. Qualified candidates may be asked to complete a short evaluation task aligned with large language model evaluation and training data quality standards.
Yes. This is a remote, full-time role, and you must be based in Germany.
You will evaluate and rank model outputs, perform QA evaluation and validation, write reasoning-based rationales, and follow annotation guidelines compliance to support RLHF and training data quality.
AI experience is helpful but not required. We value strong analytical skills, attention to detail, and the ability to apply guidelines consistently; training and calibration are provided.
Fluent English and German (written and reading comprehension) are required to evaluate bilingual prompts and outputs.
You may work across general knowledge, instruction-following, reasoning, writing quality, and content safety labeling, depending on project needs and large language model evaluation requirements.
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