Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and validating model outputs to drive training data quality and model performance improvement in production AI/LLM workflows.

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and improve AI systems by reviewing model-generated responses in real-world scenarios. You will perform large language model evaluation tasks including RLHF-style preference ranking, prompt evaluation, QA evaluation, and rationale writing. Your work directly supports training data quality, annotation guidelines compliance, and measurable model performance improvement across multilingual (German/English) use cases.

Responsibilities

Evaluate and rank model-generated outputs for correctness, helpfulness, and safety; perform RLHF preference comparisons and provide clear reasoning/rationales; conduct QA evaluation and validation checks to ensure training data quality; follow annotation guidelines compliance and document edge cases or policy gaps; review bilingual (English/German) prompts and responses and normalize labeling decisions; identify errors, hallucinations, and unsafe content and apply content safety labeling; escalate ambiguous cases and contribute to calibration sessions to improve consistency; verify datasets through spot-checking, sampling, and systematic validation workflows; collaborate asynchronously with operations and quality teams to improve labeling accuracy and throughput.

Basic Qualifications

Based in Germany and authorized to work from Germany; fluent in English and German (reading and writing) with strong comprehension of nuance and tone; strong analytical skills with the ability to compare alternatives and justify rankings; exceptional attention to detail and consistency when applying annotation guidelines; comfortable working with web tools and structured labeling interfaces; ability to write concise rationales that reflect sound reasoning; reliable availability for full-time remote work.

Preferred Qualifications

Prior experience with data labeling, prompt evaluation, or QA evaluation in AI/LLM workflows; familiarity with RLHF concepts and large language model evaluation methodologies; experience applying content safety labeling or policy-based reviews; demonstrated self-driven, organized, and metrics-oriented work style; interest in improving training data quality and operationalizing annotation guidelines compliance across multilingual datasets.

Compensation

USD $35–$40 per hour (hourly).

How to Apply

Apply to Rexzone with a brief summary of your bilingual (English/German) experience, availability in Germany, and any relevant evaluation, ranking, QA, or annotation work. Selected candidates will complete a skills assessment focused on large language model evaluation, reasoning, and annotation guidelines compliance.

Frequently Asked Questions

Q: Is this role remote?
Yes. This is a full-time remote 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, RLHF-style ranking, QA evaluation, validation, content safety labeling, and writing rationales to support training data quality and model performance improvement.
Q: Do I need AI experience?
AI/annotation 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 both English and German is required, including reading and writing with attention to nuance.
Q: What domains are covered?
Domains vary and may include general knowledge, customer support-style dialogs, reasoning tasks, and safety-sensitive content, with a focus on bilingual English/German coverage.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

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