Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (German/English) AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and validating model outputs. You will apply data labeling standards, prompt evaluation, and QA evaluation workflows to strengthen training data quality, ensure annotation guidelines compliance, and drive model performance improvement through clear rationales and consistent quality checks.

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About the Role

As a Germany-Based English & German AI Generalist Trainer at Rexzone, you will evaluate and rank model-generated responses across a variety of tasks to improve large language model evaluation outcomes. Your work will directly influence training data quality through RLHF-style preference judgments, prompt evaluation, and careful QA evaluation. You will follow annotation guidelines compliance requirements, document reasoning, and validate outputs for accuracy, safety, and usefulness to support measurable model performance improvement.

Responsibilities

Perform large language model evaluation by reviewing, comparing, and ranking AI-generated outputs; write concise, well-justified rationales that explain preferences and reasoning; execute QA evaluation to validate labels, detect inconsistencies, and correct errors to protect training data quality; apply annotation guidelines compliance across multilingual (English/German) tasks, including prompt evaluation and response quality checks; conduct content safety labeling and policy-based validation where required; track edge cases, escalate unclear instructions, and propose guideline improvements; maintain high throughput while meeting accuracy targets and documentation standards.

Basic Qualifications

Must be based in Germany and authorized to work remotely from Germany; fluent in German and English (written and verbal) with the ability to evaluate nuanced tone and meaning; strong analytical skills for structured evaluation, ranking decisions, and reasoning-based justification; exceptional attention to detail for consistent labeling and QA evaluation; ability to follow detailed instructions and maintain annotation guidelines compliance; reliable internet, ability to work full-time, and comfort using web-based annotation tools.

Preferred Qualifications

Prior experience with data labeling, content moderation, QA, or annotation workflows; familiarity with RLHF concepts, LLM evaluation, prompt evaluation, and rubric-based scoring; experience writing clear rationales and performing validation against guidelines; self-driven, organized, and able to manage ambiguity while maintaining training data quality; interest in AI safety, helpfulness, and model performance improvement.

Compensation and Employment Details

Full-time remote role based in Germany. Compensation is $35–$40 USD per hour, depending on skills and performance. You will collaborate asynchronously with a distributed team and contribute to repeatable, high-quality evaluation workflows.

How to Apply

Apply to Rexzone with a resume and a brief summary of your bilingual (English/German) evaluation experience. If selected, you may complete a short skills assessment focused on ranking, reasoning, and annotation guidelines compliance to confirm fit for large language model evaluation work.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. This is a full-time remote role, but 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 checks, write reasoning-based rationales, and follow annotation guidelines compliance to improve training data quality.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. We value strong analytical skills, attention to detail, and the ability to learn RLHF and large language model evaluation workflows.

  • Q: What languages are required?

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

  • Q: What domains are covered?

    Tasks may include general knowledge, summarization, reasoning, writing quality, instruction-following, and content safety labeling, all focused on model performance improvement and training data quality.

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

Industry-Leading Compensation

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