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 by assessing, ranking, and validating model outputs in English and German. You will follow annotation guidelines compliance to strengthen training data quality and drive model performance improvement through careful QA evaluation and prompt evaluation.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will contribute to AI/LLM workflows by evaluating and ranking model-generated responses, writing clear rationales, and performing QA checks to improve training data quality. This remote, full-time role focuses on RLHF-style judgments, large language model evaluation, and consistent annotation guidelines compliance to support measurable model performance improvement.

Key Responsibilities

Evaluate and rank model outputs in English and German using defined rubrics and prompt evaluation criteria; perform QA evaluation to verify accuracy, completeness, and policy adherence; write concise reasoning and rationales that justify rankings and corrections; validate labeling decisions via cross-checks, consistency reviews, and edge-case analysis; apply content safety labeling and escalation pathways when outputs raise safety or compliance concerns; follow annotation guidelines compliance and document ambiguities to improve instructions; support training data quality initiatives by identifying systematic model failure modes and proposing improvements.

Basic Qualifications

Based in Germany and authorized to work as a remote employee/contractor as applicable; fluent in German and English (C1+ or equivalent) with strong writing skills in both; strong analytical skills with the ability to compare responses and defend decisions with evidence-based reasoning; exceptional attention to detail and consistency when applying rubrics, policies, and annotation guidelines; comfortable working with web-based labeling tools and handling sensitive content per policy.

Preferred Qualifications

Prior experience in data labeling, QA evaluation, content moderation, or RLHF-style ranking tasks; familiarity with LLM evaluation concepts (helpfulness, correctness, safety, style) and common failure patterns; experience improving training data quality through guideline feedback and error analysis; self-driven, reliable, and able to manage productivity in a remote full-time environment.

Compensation

USD $35–$40 per hour (hourly), depending on demonstrated skills and assessment performance.

How to Apply

Apply through Rexzone with a short summary of your English/German language background and any relevant evaluation, annotation, or QA experience. Qualified candidates may complete a brief skills assessment focused on large language model evaluation, ranking, and rationale writing.

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 evaluate and rank model-generated outputs, perform QA evaluation and validation checks, write reasoning/rationales, follow annotation guidelines compliance, and support training data quality improvements in RLHF and LLM evaluation workflows.

  • Q: Do I need AI experience?

    AI experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to apply rubrics consistently are essential; training is provided on tooling and guidelines.

  • Q: What languages are required?

    Fluency in both German and English is required, as you will review and write content in both languages.

  • Q: What domains are covered?

    You may evaluate general knowledge and everyday topics, writing quality, instruction-following, reasoning, and content safety labeling scenarios as part of large language model evaluation and model performance improvement efforts.

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

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