Germany-Based English & German AI Generalist Trainer (Remote, Full-Time) 2026 May

Rexzone is hiring Germany-based English & German AI Generalist Trainers to support large language model evaluation across RLHF workflows. You will assess, rank, and QA model outputs, apply annotation guidelines compliance, and write clear rationales that strengthen training data quality. Your work directly supports model performance improvement by validating responses for accuracy, reasoning quality, and content safety labeling. This remote, full-time role requires bilingual fluency (German and English) and strong attention to detail to ensure consistent evaluation at scale.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate model-generated content and provide structured feedback used in RLHF and large language model evaluation. You will follow annotation guidelines, perform QA evaluation, and document reasoning to help improve training data quality and drive model performance improvement across multilingual use cases.

Key Responsibilities

Evaluate and rank model responses against task-specific rubrics; perform QA checks and validation to ensure training data quality; write concise rationales explaining reasoning for rankings and corrections; apply prompt evaluation and LLM evaluation criteria (helpfulness, correctness, tone, safety); enforce annotation guidelines compliance and escalate ambiguity; label safety-related issues via content safety labeling; identify error patterns, track edge cases, and contribute to model performance improvement through structured feedback.

Basic Qualifications

Based in Germany and eligible to work remotely from Germany; fluent in German and English (reading and writing); strong analytical skills with the ability to evaluate arguments and reasoning; excellent attention to detail and consistency when following guidelines; comfortable performing repetitive evaluation and QA tasks with high accuracy.

Preferred Qualifications

Experience with data labeling, annotation, QA evaluation, or content review; familiarity with LLM evaluation and RLHF concepts; strong self-driven work habits in a remote setting; ability to learn evolving rubrics quickly and maintain annotation guidelines compliance; interest in improving AI systems through careful evaluation and validation.

Compensation and Schedule

Compensation is $35–$40 USD per hour, based on skills and assessment performance. This is a remote, full-time role supporting ongoing evaluation and training data quality initiatives.

How to Apply

Apply to Rexzone with a concise resume highlighting bilingual German/English capability and any experience in evaluation, QA, or data labeling. Selected candidates will complete a short skills assessment focused on large language model evaluation, ranking, and reasoning 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 perform large language model evaluation tasks such as prompt evaluation, ranking and comparison of model outputs, QA evaluation, validation against rubrics, and writing rationales to support RLHF and training data quality.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. If you can follow annotation guidelines compliance, apply consistent reasoning, and maintain high accuracy, Rexzone will provide role-specific instructions and rubrics.

  • Q: What languages are required?

    Fluency in both German and English is required, including reading and writing.

  • Q: What domains are covered?

    Domains vary and may include general knowledge, instruction-following, writing quality, factuality checks, multilingual tasks, and content safety labeling, all aimed at model performance improvement.

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

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