Germany-Based English & German AI Generalist Trainer (Remote, Full-Time) 2026 May

Rexzone is hiring Germany-based English/German AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and validating model outputs. You will apply annotation guidelines compliance to improve training data quality, deliver clear rationales, and drive model performance improvement across real-world AI/LLM workflows in a fully remote, full-time role.

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About the Role

As an AI Generalist Trainer at Rexzone, you will evaluate and rank AI-generated outputs in both English and German, write concise reasoning, and perform QA evaluation to ensure training data quality. Your feedback directly supports RLHF, prompt evaluation, and large language model evaluation to enable measurable model performance improvement.

What You Will Do

You will review prompts and responses, compare multiple model outputs, select the best completion, and explain your choice with clear rationales. You will validate edge cases, flag safety issues, and follow annotation guidelines compliance to keep labeling consistent, accurate, and aligned with content safety labeling requirements.

Responsibilities

Evaluate model-generated responses for correctness, helpfulness, and policy alignment; rank multiple outputs and justify selections with structured reasoning; perform QA evaluation and validation checks to improve training data quality; execute prompt evaluation and LLM evaluation tasks across English and German; apply annotation guidelines compliance and document decisions; identify ambiguity, escalate issues, and suggest improvements that support model performance improvement; label content safety categories and ensure consistent content safety labeling; collaborate asynchronously with reviewers and ops to maintain high throughput and accuracy.

Basic Qualifications

Must be based in Germany and able to work remotely full-time; fluent in English and German (written and reading comprehension required for nuanced evaluation); strong analytical skills with the ability to compare alternatives and defend rankings; exceptional attention to detail and consistency when following annotation guidelines; comfortable working with high-volume evaluation, QA, and validation tasks.

Preferred Qualifications

Experience in data labeling, QA evaluation, or content review; familiarity with LLM evaluation, RLHF concepts, and prompt evaluation workflows; ability to work self-driven with minimal supervision, manage time effectively, and maintain quality under deadlines; comfort interpreting guidelines and improving processes to strengthen training data quality.

Compensation

USD $35–$40 per hour, based on skills and task complexity. This is a remote, full-time role for candidates based in Germany.

How to Apply

Apply through Rexzone with a brief summary of your bilingual English/German experience, availability, and any prior evaluation or annotation work. Shortlisted candidates may complete a paid skills assessment focused on large language model evaluation, ranking, and rationale writing.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. This is a fully remote, full-time role, but 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 and validation, prompt evaluation, rationale writing, and content safety labeling while following annotation guidelines compliance.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. If you can follow detailed guidelines, apply strong analytical skills, and write clear reasoning in English and German, Rexzone will provide task instructions and calibration to support training data quality and model performance improvement.

  • Q: What languages are required?

    Fluency in both English and German is required, as you will evaluate and write rationales across bilingual datasets.

  • Q: What domains are covered?

    Domains vary by project and can include general knowledge, customer support style writing, reasoning tasks, summarization, safety and policy evaluation, and other prompt-and-response workflows used for RLHF and training data quality improvements.

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

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