Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support large language model evaluation through RLHF, ranking, QA evaluation, and training data quality improvements across real-world domains.

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and improve AI/LLM workflows by assessing, ranking, and validating model-generated outputs. Your work supports RLHF, large language model evaluation, and model performance improvement by ensuring training data quality through consistent, detail-oriented judgments and clear rationales. You will follow annotation guidelines compliance standards, perform prompt evaluation and QA evaluation, and contribute to safer, more accurate model behavior across bilingual (German/English) content.

Key Responsibilities

Evaluate model outputs for correctness, relevance, helpfulness, and safety in English and German; rank and compare multiple responses to the same prompt to support RLHF; write concise, evidence-based rationales that capture reasoning and decision criteria; perform QA evaluation on labeled tasks to ensure training data quality and annotation guidelines compliance; validate edge cases, ambiguous prompts, and bilingual nuances using consistent judgment; identify labeling errors, inconsistencies, and potential policy violations, escalating as needed; contribute to prompt evaluation, content safety labeling, and training data quality checks to drive model performance improvement; document decisions and follow project-specific annotation guidelines while meeting productivity and quality targets.

Basic Qualifications

Based in Germany and authorized to work as a remote contractor/employee as applicable; fluent in English and German (reading and writing) with strong bilingual comprehension; strong analytical skills with the ability to compare alternatives, detect subtle issues, and justify decisions; excellent attention to detail and consistency when applying annotation guidelines; comfortable working independently in a remote environment and meeting deadlines; able to handle sensitive or safety-related content as part of content safety labeling and QA evaluation.

Preferred Qualifications

Prior experience in data labeling, prompt evaluation, QA evaluation, or large language model evaluation; familiarity with RLHF concepts, ranking tasks, and rubric-based assessment; experience applying annotation guidelines compliance processes and improving training data quality; understanding of common LLM failure modes (hallucinations, bias, instruction-following issues); self-driven, reliable, and proactive in raising issues and suggesting process improvements.

Compensation

USD $35–$40 per hour (hourly), based on experience and project scope. Remote, full-time workload.

How to Apply

Apply to Rexzone with a brief summary of your bilingual (English/German) background, any AI/annotation experience, and your availability. Qualified candidates may be asked to complete a short evaluation task focused on ranking, reasoning, and annotation guidelines compliance.

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 evaluation, ranking and comparisons (RLHF-style), QA evaluation, validation of labels, prompt evaluation, content safety labeling, and writing rationales to support training data quality and model performance improvement.
Q: Do I need AI experience?
AI experience is helpful but not required. We value strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance requirements; training is provided for project-specific rubrics and workflows.
Q: What languages are required?
Fluency in both English and German is required, including strong reading and writing skills in both languages.
Q: What domains are covered?
Domains vary by project and may include general knowledge, writing quality, reasoning, customer-style queries, and safety-related scenarios. The focus remains on bilingual evaluation, training data quality, and reliable judgments for RLHF and large language model evaluation.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

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