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 assessing, ranking, and validating model outputs to drive training data quality, annotation guidelines compliance, and model performance improvement.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone (Remote, Full-Time), you will evaluate and improve AI systems by reviewing model-generated responses, ranking alternatives, and writing clear rationales that support large language model evaluation. Your work directly impacts RLHF workflows, training data quality, and model performance improvement by ensuring annotation guidelines compliance and consistent QA evaluation across tasks.

Responsibilities

• Evaluate and rank model-generated outputs in English and German using provided rubrics. • Perform QA evaluation to ensure training data quality and annotation guidelines compliance. • Write concise reasoning and rationales that justify rankings and highlight errors or strengths. • Validate task inputs/outputs for completeness, policy adherence, and content safety labeling needs. • Conduct prompt evaluation and identify ambiguous instructions; propose guideline clarifications. • Track recurring model failure patterns to support model performance improvement. • Maintain consistent decision-making across edge cases through careful calibration and self-checks.

Basic Qualifications

• Must be based in Germany and authorized to work as a contractor/employee as applicable. • Fluent in English and German (reading, writing, and nuanced comprehension). • Strong analytical skills with the ability to compare responses, detect logical gaps, and assess relevance. • High attention to detail and comfort following strict annotation guidelines. • Ability to write clear, structured rationales and document evaluation decisions. • Reliable internet connection and ability to work independently in a remote setting.

Preferred Qualifications

• Prior experience with data labeling, RLHF, LLM evaluation, or AI content review. • Familiarity with large language model behavior, prompt evaluation, and QA workflows. • Experience handling content safety labeling and policy-based decision frameworks. • Self-driven, consistent, and comfortable working with feedback loops and calibration.

Compensation

USD $35–$40 per hour (depending on assessment results and task complexity). This is a full-time remote role based in Germany.

How to Apply

Apply through Rexzone with your resume/CV and a short note confirming Germany location and English/German fluency. Qualified candidates may complete an online evaluation to confirm large language model evaluation readiness, ranking consistency, 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 such as evaluation and ranking of model outputs, QA evaluation for training data quality, prompt evaluation, validation of task outputs, and writing reasoning/rationales to support RLHF workflows.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. You must be able to follow annotation guidelines, apply rubrics consistently, and produce clear rationales; training and calibration will be provided.

  • Q: What languages are required?

    Fluency in both English and German is required, including strong reading and writing skills in each language.

  • Q: What domains are covered?

    Domains can vary by project and may include general knowledge, reasoning, writing quality, instruction following, and content safety labeling, with a focus on model performance improvement and annotation guidelines compliance.

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

Industry-Leading Compensation

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