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 validating 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 contribute to large language model evaluation and RLHF by assessing model-generated responses, ranking alternatives, and documenting reasoning to drive model performance improvement. You will apply annotation guidelines compliance to ensure training data quality, perform QA evaluation and validation checks, and help identify edge cases and content safety labeling needs. This is a remote, full-time role focused on prompt evaluation, data labeling quality standards, and consistent evaluation methodologies across English and German content.

Responsibilities

Evaluate and rank model-generated outputs in English and German using defined rubrics; perform QA evaluation to verify consistency, accuracy, and policy alignment; write concise rationales that explain reasoning behind rankings and decisions; validate task outputs against annotation guidelines compliance and escalate ambiguities; review prompts and responses for safety, policy adherence, and content safety labeling; identify error patterns and propose improvements that increase training data quality and enable model performance improvement; maintain detailed documentation of decisions, edge cases, and rule interpretations; collaborate asynchronously with project leads to refine evaluation criteria and resolve disagreements.

Basic Qualifications

Based in Germany and able to work remotely from Germany; fluent in English and German (reading, writing, and comprehension); strong analytical skills with the ability to compare outputs and justify decisions; exceptional attention to detail and consistency across repetitive evaluation tasks; comfortable working with written guidelines and applying them to diverse content; reliable internet connection and ability to meet quality and productivity targets.

Preferred Qualifications

Experience with data labeling, prompt evaluation, or QA evaluation for AI systems; familiarity with LLM evaluation concepts (helpfulness, correctness, safety, tone, and instruction-following); understanding of RLHF or preference ranking workflows; experience writing clear rationales and handling edge cases; self-driven, organized, and able to maintain high quality independently in a remote setting.

Compensation

USD $35–$40 per hour (hourly), based on skills and task performance. This role is full-time and remote from Germany.

How to Apply

Apply through Rexzone with an up-to-date resume/CV highlighting bilingual English/German writing experience, analytical work, and any AI, annotation, or evaluation background. Qualified applicants may be asked to complete a short language and evaluation task to assess large language model evaluation skills 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 evaluate and rank model-generated outputs, perform QA evaluation and validation, follow annotation guidelines compliance, and write clear rationales to support training data quality and model performance improvement.

  • Q: Do I need AI experience?

    AI experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to learn large language model evaluation guidelines are essential.

  • Q: What languages are required?

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

  • Q: What domains are covered?

    Tasks may cover general knowledge, reasoning, summarization, instruction-following, content safety labeling, and prompt evaluation across everyday topics relevant to LLM evaluation.

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

Industry-Leading Compensation

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