Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based 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 work remotely on AI/LLM workflows focused on RLHF, prompt evaluation, and large language model evaluation. Your day-to-day work will involve evaluating and ranking model-generated responses, writing clear rationales, and performing QA evaluation to ensure training data quality. You will follow annotation guidelines compliance and contribute to model performance improvement by producing accurate, consistent, and well-justified judgments in both English and German.

Key Responsibilities

Evaluate model-generated outputs in English and German for correctness, helpfulness, and safety; rank multiple responses and justify decisions with concise reasoning; perform QA evaluation and validation checks to ensure training data quality; apply annotation guidelines compliance and escalate unclear cases with detailed notes; conduct prompt evaluation and identify failure modes that impact model performance improvement; perform content safety labeling and flag policy-sensitive content; support data labeling tasks across varied domains and formats; document decisions and maintain consistency across projects and guidelines updates.

Basic Qualifications

Must be based in Germany and authorized to work as a remote contractor/employee as applicable; fluency in both German and English (reading and writing) with strong grammar and clarity; strong analytical skills with the ability to compare outputs and make defensible judgments; exceptional attention to detail and consistency in following annotation guidelines; comfortable working with web-based annotation tools and structured feedback forms; ability to write clear rationales explaining evaluation, ranking, and validation decisions.

Preferred Qualifications

Prior experience with data labeling, QA evaluation, or annotation workflows; familiarity with LLM evaluation concepts (e.g., RLHF, rubric-based scoring, preference ranking); experience performing prompt evaluation and identifying common model errors; demonstrated self-driven, reliable, and organized work habits in a remote setting; interest in content safety labeling and responsible AI practices.

Compensation

USD $35–$40 per hour (Remote, Full-Time).

How to Apply

Apply through Rexzone and include a short summary of your bilingual (English/German) experience, availability for full-time remote work from Germany, and any relevant work in large language model evaluation, RLHF, data labeling, or training data quality.

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-generated outputs, write rationales, perform QA evaluation and validation, follow annotation guidelines compliance, and contribute to training data quality for large language model evaluation and model performance improvement.

  • Q: Do I need AI experience?

    AI/annotation experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to apply rubrics consistently are essential, and you will work within defined annotation guidelines.

  • Q: What languages are required?

    Fluency in both German and English is required, including reading and writing for prompt evaluation and explanation of reasoning.

  • Q: What domains are covered?

    Tasks can span general knowledge, reasoning, writing quality, instruction following, and content safety labeling, depending on the project and training data needs.

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

Industry-Leading Compensation

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