Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based AI Generalist Trainers to support large language model evaluation within AI/LLM workflows. In this remote, full-time role, you will perform RLHF-style evaluation by assessing, ranking, and QA-checking model outputs in both English and German, following strict annotation guidelines compliance. Your work improves training data quality, drives model performance improvement, and strengthens content safety labeling and overall training data quality through consistent validation and well-written rationales.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and rank model-generated responses, write clear reasoning, and perform QA evaluation to ensure training data quality. You will apply annotation guidelines compliance across tasks such as prompt evaluation, LLM evaluation, and content safety labeling, contributing directly to model performance improvement through reliable large language model evaluation.

What You Will Do

You will complete structured evaluation and ranking tasks, validate outputs against policy and rubric requirements, and document rationales that help improve model behavior. You will also run quality checks, flag inconsistencies, and collaborate asynchronously with operations teams to maintain training data quality and consistent annotation guidelines compliance.

Why This Role Matters

Your judgments and rationales help shape RLHF datasets and improve large language model evaluation results. By ensuring high training data quality and reliable QA evaluation, you enable safer, more accurate, and more helpful model outputs and measurable model performance improvement.

How to Apply

Apply through Rexzone with your updated resume/CV and a short note describing your experience with bilingual English/German writing, analytical evaluation, and any exposure to data labeling, LLM evaluation, or QA evaluation. Selected candidates may complete an online assessment focused on ranking, reasoning, and annotation guidelines compliance.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. This is a remote, full-time role, and you must be based in Germany.

  • Q: What tasks will I do?

    You will evaluate and rank model outputs, perform QA evaluation, validate responses against rubrics and policies, and write concise rationales to support large language model evaluation and training data quality.

  • Q: Do I need AI experience?

    AI experience is helpful but not always required. Strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance are essential; training is provided for task frameworks such as RLHF and LLM evaluation.

  • Q: What languages are required?

    Fluency in both English and German is required, as tasks include bilingual prompt evaluation, data labeling, and rationale writing.

  • Q: What domains are covered?

    Tasks can span general knowledge, reasoning, instruction-following, content safety labeling, and other areas relevant to training data quality and model performance improvement.

230+Domains Covered
120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated - it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks - we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of AI Data Operations?

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