Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based English/German AI Generalist Trainers to support AI/LLM workflows through RLHF-style evaluation, ranking, and rationale writing to strengthen training data quality and drive 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 and help improve model performance through structured assessment, ranking, and QA evaluation. You will follow annotation guidelines compliance requirements, write clear rationales, and validate outputs across languages to ensure training data quality for large language model evaluation pipelines.

Responsibilities

Perform large language model evaluation by reviewing model-generated responses in English and German; rank and compare outputs using defined rubrics (RLHF-style ranking) and prompt evaluation criteria; write concise, evidence-based reasoning and rationales for each decision; execute QA evaluation including validation checks, issue flagging, and rework to meet training data quality targets; apply annotation guidelines compliance consistently, including content safety labeling and policy-based decisions; identify edge cases, ambiguity, and bias signals, and document findings for continuous model performance improvement; collaborate asynchronously with project leads, follow task instructions precisely, and maintain throughput and accuracy standards.

Basic Qualifications

Must be based in Germany and eligible to work as a remote contractor/employee as applicable; fluent in English and German (C1+ or equivalent) with strong writing skills in both; strong analytical skills with the ability to evaluate reasoning quality and factuality; excellent attention to detail and consistency when following annotation guidelines; comfortable working with AI/LLM workflows, structured rubrics, and QA processes; reliable internet connection and ability to meet deadlines in a remote environment.

Preferred Qualifications

Prior experience in data labeling, prompt evaluation, QA evaluation, or RLHF-related tasks; familiarity with LLM behavior, common failure modes, and safety considerations; experience applying content safety labeling or policy-based moderation frameworks; self-driven, organized, and able to maintain high-quality output with minimal supervision; experience working with multilingual datasets or bilingual evaluation in production settings.

Compensation

Pay is USD $35–$40 per hour, depending on task complexity and demonstrated performance.

How to Apply

Apply through Rexzone with a resume/CV highlighting bilingual English/German writing experience and any annotation, evaluation, or QA work. Shortlisted candidates may complete an online assessment focused on ranking, reasoning, validation, and annotation guidelines compliance.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. This is a remote, full-time role, and applicants must be based in Germany.

  • Q: What tasks will I do?

    You will perform large language model evaluation tasks such as prompt evaluation, ranking model outputs (RLHF-style), writing rationales, completing QA evaluation, and validation to improve training data quality and model performance improvement.

  • Q: Do I need AI experience?

    AI or annotation experience is helpful but not required. You must be able to follow annotation guidelines compliance rules, apply evaluation rubrics, and produce consistent, well-reasoned judgments.

  • Q: What languages are required?

    Fluency in both English and German is required, including strong reading comprehension and writing in both languages.

  • Q: What domains are covered?

    You may evaluate general knowledge, reasoning, summarization, customer-support style writing, and content safety labeling scenarios, depending on project needs.

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

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