Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based AI Generalist Trainers to support large language model evaluation through RLHF, prompt evaluation, data labeling, and QA evaluation. You will assess and rank model-generated outputs, write clear rationales, and follow annotation guidelines to improve training data quality and drive model performance improvement across English and German workflows.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will work remotely and full-time on large language model evaluation and RLHF-style tasks. Your work focuses on improving training data quality by evaluating, ranking, and validating model responses in both German and English. You will apply annotation guidelines compliance, document reasoning, and partner with QA to ensure consistent, high-quality datasets that enable model performance improvement.

What You Will Do

You will evaluate and rank model-generated outputs, perform prompt evaluation and QA evaluation, validate edge cases, and write concise rationales that explain your reasoning. You will follow annotation guidelines, support content safety labeling where needed, and contribute to training data quality initiatives for large language model evaluation across multiple domains.

How Success Is Measured

Success is measured by accuracy and consistency in evaluation and ranking, strong annotation guidelines compliance, clear reasoning in rationales, effective validation of ambiguous cases, and reliable QA outcomes that improve training data quality and support model performance improvement.

Work Setup and Compensation

This is a remote, full-time role for candidates based in Germany. Compensation is $35–$40 USD per hour, depending on performance, task complexity, and project needs.

How to Apply

Apply to Rexzone with your resume/CV and a short note confirming you are based in Germany and fluent in both German and English. If selected, you may complete a brief language and evaluation task to confirm fit for large language model evaluation workflows.

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 evaluation, ranking, QA evaluation, prompt evaluation, validation of model outputs, and writing short rationales to document reasoning while following annotation guidelines compliance.

  • Q: Do I need AI experience?

    AI or annotation experience is helpful but not always required. Strong analytical skills, attention to detail, and the ability to apply guidelines consistently are essential; Rexzone provides task instructions and feedback loops to support training data quality.

  • Q: What languages are required?

    Fluency in both German and English is required, since you will evaluate and compare content in both languages.

  • Q: What domains are covered?

    Domains can vary by project and may include general knowledge, business writing, customer support, education, and content safety labeling; all work is focused on RLHF-style evaluation that supports model performance improvement.

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

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated - it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks - we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

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