Germany-Based English & German AI Generalist Trainer 2026 May

Remote, full-time AI Generalist Trainer role for Germany-based bilingual (English/German) professionals to perform large language model evaluation, RLHF-style ranking, and QA evaluation to strengthen training data quality and drive model performance improvement at Rexzone.

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About the Role

Rexzone is hiring Germany-based English & German AI Generalist Trainers to support AI/LLM workflows through large language model evaluation, RLHF-informed ranking, and training data quality improvements. You will assess model-generated outputs, follow annotation guidelines compliance, write clear rationales, and validate results to help improve model performance across multiple domains. This is a remote, full-time position with consistent task volume and an emphasis on accuracy, reasoning, and quality.

Key Responsibilities

Evaluate and rank model-generated responses in English and German using project rubrics and prompt evaluation standards. Perform QA evaluation on labeled datasets to ensure training data quality and annotation guidelines compliance. Write concise, evidence-based rationales explaining ranking decisions and reasoning. Validate edge cases, detect policy or content safety issues, and apply content safety labeling when required. Review disagreements, calibrate with gold examples, and improve consistency through feedback loops. Track errors, escalate ambiguous instructions, and propose guideline clarifications to support model performance improvement.

Basic Qualifications

Must be based in Germany and eligible to work remotely from Germany. Fluency in both English and German (written and reading comprehension) required. Strong analytical skills with the ability to compare outputs, spot inconsistencies, and justify decisions. High attention to detail, including careful adherence to annotation guidelines compliance and QA checks. Ability to follow structured evaluation criteria, meet deadlines, and maintain quality over high-volume review tasks.

Preferred Qualifications

Prior experience in data labeling, LLM evaluation, RLHF, prompt evaluation, or QA evaluation. Familiarity with how large language models generate responses and common failure modes (hallucinations, safety issues, instruction-following gaps). Comfortable writing clear rationales and applying consistent reasoning across diverse topics. Self-driven, reliable, and able to work independently in a remote environment while responding well to feedback and calibration.

Compensation

USD $35–$40 per hour (hourly), dependent on demonstrated performance and quality.

How to Apply

Apply to Rexzone with a short summary of your English/German proficiency and any relevant experience in evaluation, QA, data labeling, or annotation work. If you do not have direct AI experience, highlight transferable skills such as editorial review, language quality assessment, auditing, or analytical 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 perform large language model evaluation, rank and compare outputs, run QA evaluation for training data quality, validate labels, and write rationales explaining your reasoning.

  • Q: Do I need AI experience?

    AI experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance are essential.

  • Q: What languages are required?

    Fluency in English and German is required, as you will evaluate and write rationales in both languages.

  • Q: What domains are covered?

    You may evaluate prompts and responses across general knowledge, writing quality, instruction following, reasoning, and content safety labeling scenarios, depending on project needs.

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

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