Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based AI Generalist Trainers to support RLHF and large language model evaluation through bilingual (English/German) judgment, ranking, and rationale writing. You will assess model outputs, follow annotation guidelines compliance, and strengthen training data quality to drive model performance improvement across AI/LLM workflows.

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate, rank, and QA model-generated responses to improve large language model evaluation outcomes. Your work directly impacts training data quality and model performance improvement by providing clear reasoning, validation, and consistent labeling decisions aligned with annotation guidelines compliance.

What You Will Do

You will perform RLHF-style evaluations, compare and rank responses, write concise rationales, validate outputs against rubrics, and conduct QA evaluation to ensure training data quality. Tasks include prompt evaluation, data labeling, content safety labeling, and systematic error identification to support reliable model performance improvement.

Key Responsibilities

Evaluate and rank model outputs; perform QA evaluation and consistency checks; write clear reasoning and rationales for decisions; validate labeling accuracy and resolve edge cases; follow annotation guidelines compliance; flag content safety labeling issues; document recurring model errors and recommend rubric improvements to strengthen training data quality and large language model evaluation.

Basic Qualifications

Must be based in Germany and able to work remotely full-time. Fluency in English and German (reading, writing, and comprehension) is required. Strong analytical skills, attention to detail, and the ability to apply rubrics consistently for evaluation, ranking, QA, reasoning, and validation are essential.

Preferred Qualifications

Experience with AI data labeling, RLHF, LLM evaluation, prompt evaluation, or QA evaluation. Familiarity with large language model behavior, annotation guidelines, and content safety labeling. Self-driven, dependable, and comfortable working independently with high quality standards and tight feedback loops.

How to Apply

Apply through Rexzone with a brief summary of your bilingual English/German experience and any evaluation, annotation, or QA background. Candidates who demonstrate strong rubric adherence, clear written reasoning, and consistent validation judgment will be prioritized.

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 evaluate and rank model-generated outputs, perform QA evaluation, write rationales with clear reasoning, validate decisions against rubrics, and support training data quality through data labeling, prompt evaluation, and content safety labeling.
Q: Do I need AI experience?
AI/annotation experience is preferred but not required. Strong analytical skills, attention to detail, and consistent rubric-based judgment are required.
Q: What languages are required?
Fluency in both English and German is required.
Q: What domains are covered?
You will work across general knowledge and everyday user prompts, with a focus on large language model evaluation, RLHF-style ranking, and training data quality improvements, including content safety labeling when needed.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

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