Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support AI/LLM workflows through RLHF, large language model evaluation, and training data quality improvements by evaluating, ranking, and QA-checking model outputs with clear rationales.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and improve AI systems by assessing model-generated responses in real-world scenarios. You will perform RLHF-style ranking, prompt evaluation, and QA evaluation while following annotation guidelines compliance to strengthen training data quality and drive model performance improvement across large language model evaluation tasks.

Key Responsibilities

Evaluate and rank model outputs using defined rubrics; perform QA evaluation for accuracy, completeness, tone, and policy adherence; write concise rationales explaining reasoning behind rankings; validate edge cases and inconsistencies and escalate guideline gaps; apply annotation guidelines compliance across English and German tasks; conduct prompt evaluation and regression-style checks to measure model performance improvement; support content safety labeling when required; verify training data quality through sampling, cross-checks, and error categorization; collaborate asynchronously with reviewers to align on standards and resolve disputes; document recurring issues and propose guideline clarifications.

Basic Qualifications

Must be based in Germany and able to work remotely from Germany; fluent in English and German (written and reading); strong analytical skills with the ability to compare alternatives and justify decisions; exceptional attention to detail and consistency in applying rubrics; ability to write clear, structured rationales; reliable internet and ability to meet productivity and quality targets.

Preferred Qualifications

Experience in data labeling, QA, evaluation, or annotation workflows; familiarity with LLM evaluation, RLHF concepts, or prompt evaluation; experience interpreting annotation guidelines and handling ambiguous cases; self-driven, organized, and comfortable working independently in a remote environment; interest in content safety labeling and policy-based evaluation.

Compensation and Work Type

Remote, Full-Time. Compensation is $35–$40 USD per hour depending on assessed skill and task complexity. You will be onboarded on evaluation rubrics, tooling, and annotation guidelines compliance expectations.

How to Apply

Apply to Rexzone with a current CV/resume and a brief note confirming Germany-based residency and English/German proficiency. Qualified candidates will complete an online 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 to be eligible.

  • Q: What tasks will I do?

    You will perform large language model evaluation tasks including RLHF-style ranking, prompt evaluation, QA evaluation, validation of outputs, and rationale writing to improve training data quality and model performance improvement.

  • Q: Do I need AI experience?

    AI experience is helpful but not strictly required. You must be able to follow annotation guidelines compliance, apply evaluation rubrics consistently, and demonstrate strong analytical reasoning and attention to detail.

  • Q: What languages are required?

    Fluency in both English and German is required, as you will evaluate and write rationales in both languages depending on the task.

  • Q: What domains are covered?

    Tasks span general knowledge, writing quality, instruction-following, reasoning, and content safety labeling where applicable, all aimed at strengthening training data quality for AI/LLM workflows.

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

Industry-Leading Compensation

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