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 ranking model outputs, writing clear rationales, and ensuring training data quality through consistent QA evaluation and annotation guidelines compliance for model performance improvement.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate large language model outputs to improve model behavior and reliability. You will perform RLHF-style ranking, prompt evaluation, and QA evaluation across varied domains while following annotation guidelines compliance to maintain training data quality and drive model performance improvement. This is a remote, full-time role for detail-oriented reviewers who can explain reasoning clearly in both German and English.

Key Responsibilities

Evaluate and rank model-generated responses in English and German; perform large language model evaluation across multiple tasks (helpfulness, correctness, tone, safety) using defined rubrics; write concise, well-structured rationales that capture reasoning behind rankings; execute QA evaluation to validate labels, detect inconsistencies, and correct errors; follow annotation guidelines compliance and escalate unclear edge cases; perform prompt evaluation and response comparison to support RLHF workflows; apply content safety labeling and policy-based validation where required; track issues impacting training data quality and propose improvements to guidelines and checklists; maintain high throughput while meeting accuracy targets and documentation standards.

Basic Qualifications

Must be based in Germany and authorized to work remotely from Germany; fluent in both German and English (written and reading comprehension required for detailed evaluation); strong analytical skills and critical thinking for evidence-based ranking decisions; exceptional attention to detail to ensure consistent training data quality; ability to explain reasoning clearly and follow annotation guidelines compliance; reliable internet connection and ability to work full-time on a remote schedule.

Preferred Qualifications

Prior experience with data labeling, QA evaluation, prompt evaluation, or content review; familiarity with RLHF concepts, LLM evaluation, and common failure modes of large language models; experience applying annotation guidelines, rubrics, and calibration processes; self-driven, organized, and comfortable working independently with minimal supervision; interest in model performance improvement and iterative feedback loops.

How to Apply

Apply to Rexzone with a short summary of your Germany location, English/German proficiency, and any evaluation or annotation experience. Candidates may be asked to complete a brief skills assessment 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 and ranking of model outputs, writing rationales (reasoning), QA evaluation and validation checks, prompt evaluation, and occasional content safety labeling to protect training data quality.

  • 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; training is provided for the workflow and rubrics.

  • Q: What languages are required?

    Fluency in both German and English is required, since you will evaluate and rank content in both languages and write clear rationales.

  • Q: What domains are covered?

    Domains vary and may include general knowledge, customer-style prompts, writing and summarization, reasoning tasks, and content safety scenarios, all focused on model performance improvement and training data quality.

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

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