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-generated outputs while writing clear rationales that enforce annotation guidelines compliance. This role directly improves training data quality and drives model performance improvement through consistent prompt evaluation, QA evaluation, and validation against project rubrics. If you are fluent in German and English and enjoy analytical reasoning with high attention to detail, apply to help strengthen safe, reliable AI systems.

About the Role

As an AI Generalist Trainer at Rexzone, you will work remotely from Germany to evaluate and improve AI systems by judging model responses, ranking alternatives, and documenting reasoning. Your work supports RLHF pipelines and large language model evaluation by producing high-quality training signals, ensuring training data quality, and maintaining annotation guidelines compliance.

What You Will Do

You will complete structured evaluation tasks such as prompt evaluation, response ranking, and QA evaluation. You will validate outputs against policy and quality criteria, label content for safety where required, and write concise rationales that explain your decisions to support consistent model performance improvement.

Compensation and Schedule

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

How Success Is Measured

Success is measured by accuracy and consistency of rankings, clarity of written rationales, adherence to annotation guidelines compliance, low QA defect rates, and reliable throughput while maintaining training data quality in large language model evaluation workflows.

Apply

If you are Germany-based and fluent in English and German, apply to Rexzone to contribute to RLHF-driven evaluation work that improves real-world model behavior.

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 including prompt evaluation, response assessment, ranking, QA evaluation, writing reasoning-based rationales, and validation for training data quality and annotation guidelines compliance.
Q: Do I need AI experience?
AI experience is helpful but not strictly required. Strong analytical skills, attention to detail, and the ability to follow rubrics and annotation guidelines are essential; we provide task-specific instructions and feedback loops.
Q: What languages are required?
Fluency in both German and English is required because you will evaluate bilingual content and produce clear written rationales.
Q: What domains are covered?
Domains vary by project and can include general knowledge, customer support style prompts, safety and policy scenarios, summarization, classification, and other content used for RLHF, data labeling, and 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.

Ready to Shape the Future of AI Data Operations?

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