Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support large language model evaluation through RLHF-style ranking, prompt evaluation, and QA evaluation to improve training data quality and drive model performance improvement.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate model-generated responses across tasks and domains, applying annotation guidelines compliance to deliver high-quality judgments and rationales. You will work in AI/LLM workflows that include RLHF, large language model evaluation, data labeling, and content safety labeling, focusing on training data quality and measurable model performance improvement.

Key Responsibilities

Perform large language model evaluation by reviewing prompts and model outputs; rank and compare multiple responses using RLHF-style preference signals; execute QA evaluation to validate labels, catch inconsistencies, and ensure annotation guidelines compliance; write clear reasoning and rationales that justify rankings and decisions in both English and German; validate edge cases, ambiguity, and safety-sensitive content using content safety labeling policies; follow detailed project instructions, maintain training data quality targets, and report issues or guideline gaps; contribute to prompt evaluation and test set creation to support model performance improvement.

Basic Qualifications

Must be based in Germany and authorized to work from Germany; fluent in English and German (written and reading comprehension required for evaluation and rationale writing); strong analytical skills with the ability to break down instructions and apply consistent decision logic; exceptional attention to detail and comfort following strict annotation guidelines compliance; reliable internet connection and ability to work independently in a remote environment.

Preferred Qualifications

Prior experience with AI data labeling, LLM evaluation, or QA evaluation (including RLHF or preference ranking); familiarity with prompt evaluation, safety policies, and training data quality best practices; self-driven, organized, and comfortable handling iterative feedback to support model performance improvement.

Pay Range

USD $35–$40 per hour (remote, full-time). Final rate within the range depends on assessment performance, task complexity, and quality metrics.

How to Apply

Apply through Rexzone with your resume/CV and a brief note confirming Germany location and English/German fluency. Qualified candidates will complete an evaluation to assess reasoning quality, ranking consistency, 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 perform large language model evaluation, including prompt evaluation, RLHF-style ranking of model outputs, QA evaluation, validation of labels, and writing reasoning-based rationales while maintaining training data quality.

  • Q: Do I need AI experience?

    AI or annotation experience is preferred but not strictly required if you can follow guidelines precisely, reason clearly, and produce consistent evaluation judgments.

  • Q: What languages are required?

    Fluency in English and German is required, as tasks involve bilingual evaluation and rationale writing.

  • Q: What domains are covered?

    Domains vary by project and may include general knowledge, reasoning, instruction-following, content safety labeling, and other areas used to improve training data quality and model performance improvement.

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

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