Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and QA-checking model outputs 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 and improve AI/LLM workflows by reviewing model-generated responses, ranking alternatives, and writing clear rationales that support RLHF. Your work directly impacts training data quality through careful judgment, annotation guidelines compliance, and structured validation. This is a remote, full-time role focused on large language model evaluation, prompt evaluation, and QA evaluation across multiple everyday domains.

Key Responsibilities

Perform large language model evaluation by judging and comparing model outputs; rank responses using defined rubrics and provide concise reasoning; execute QA evaluation to verify accuracy, completeness, tone, and policy alignment; validate labels and rationale consistency for training data quality; follow annotation guidelines compliance and document edge cases; run prompt evaluation to identify failure modes and recommend improvements; support content safety labeling where required and escalate risky outputs; collaborate asynchronously with ops leads to improve workflows for model performance improvement.

Basic Qualifications

Must be based in Germany and eligible to work remotely from Germany; fluent in both German and English (written and spoken); strong analytical skills with the ability to compare alternatives and justify rankings; exceptional attention to detail and consistency when applying rubrics; ability to follow annotation guidelines compliance and meet quality targets; comfortable working with web tools and structured forms; reliable internet connection and availability for full-time engagement.

Preferred Qualifications

Prior experience in data labeling, QA, evaluation, or content review; familiarity with RLHF concepts, LLM evaluation, and training data quality practices; experience writing rationales for ranking tasks; understanding of content safety labeling and policy-based decisioning; self-driven, organized, and able to manage ambiguity while maintaining high standards for model performance improvement.

Compensation

Hourly pay range: $35–$40 USD per hour (based on role fit and performance). This is a remote, full-time opportunity with clear evaluation guidelines and ongoing feedback to help you succeed.

How to Apply

Apply through Rexzone with your resume/CV and a short note confirming you are based in Germany and fluent in English and German. Highlight any experience in evaluation, QA, data labeling, or large language model evaluation.

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 model outputs, rank responses, perform QA evaluation, write rationales with clear reasoning, and validate labels to improve training data quality and model performance improvement.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. We provide guidelines and rubrics; strong analytical skills, attention to detail, and annotation guidelines compliance matter most.

  • Q: What languages are required?

    Fluency in both German and English is required, including strong reading and writing skills for large language model evaluation tasks.

  • Q: What domains are covered?

    Tasks may span general knowledge, everyday assistance, writing and rewriting, summarization, customer-style conversations, and content safety labeling, depending on project needs.

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

Industry-Leading Compensation

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