Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based AI Generalist Trainers to support large language model evaluation across English and German. You will apply RLHF-style evaluation, ranking, and QA evaluation to improve training data quality and drive model performance improvement. This full-time remote role focuses on prompt evaluation, data labeling, and training data quality checks through clear rationales, validation, and annotation guidelines compliance.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and improve AI/LLM workflows by assessing model-generated outputs, ranking responses, and writing concise reasoning. Your work directly supports training data quality, annotation guidelines compliance, and model performance improvement through large language model evaluation and structured QA evaluation.

Responsibilities

Perform large language model evaluation for English and German outputs, including RLHF-style preference ranking and scoring. Conduct prompt evaluation and response evaluation, identifying issues in helpfulness, correctness, tone, safety, and instruction-following. Write clear rationales that explain evaluation decisions and reasoning for rankings and labels. Execute QA evaluation on completed tasks, validate edge cases, and correct inconsistencies to protect training data quality. Follow annotation guidelines compliance requirements and document ambiguities, policy gaps, and escalation items. Apply content safety labeling where required, including identifying unsafe, disallowed, or policy-sensitive content. Collaborate with project leads to refine rubrics, improve evaluation consistency, and support model performance improvement. Track errors, validate fixes, and contribute to continuous improvement of evaluation and labeling workflows.

Basic Qualifications

Based in Germany and authorized to work from Germany for a remote, full-time schedule. Fluent in German and English (reading, writing, and nuanced comprehension). Strong analytical skills with the ability to compare outputs and justify rankings using evidence-based reasoning. Excellent attention to detail and consistency to maintain training data quality and annotation guidelines compliance. Comfort working with web-based tooling and structured evaluation rubrics.

Preferred Qualifications

Prior experience in data labeling, QA evaluation, content moderation, or annotation work. Familiarity with LLMs, RLHF concepts, prompt evaluation, and large language model evaluation. Experience applying content safety labeling policies and handling sensitive topics appropriately. Self-driven, dependable, and able to maintain high quality while working independently in a remote environment.

Pay

Compensation is $35–$40 USD per hour, based on skills and role alignment.

How to Apply

Apply to Rexzone with a brief summary of your bilingual (German/English) experience and any relevant evaluation, QA, or annotation background. If selected, you will complete a short skills assessment focused on ranking, validation, and rationale quality.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. This is a full-time remote role for candidates based in Germany.

  • Q: What tasks will I do?

    You will perform large language model evaluation, rank model outputs (RLHF-style), run QA evaluation and validation checks, follow annotation guidelines compliance, and write rationales to support training data quality and model performance improvement.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. Rexzone provides guidelines and rubrics; strong analytical reasoning, attention to detail, and consistent evaluation quality are essential.

  • Q: What languages are required?

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

  • Q: What domains are covered?

    Domains vary by project and can include general knowledge, reasoning, writing quality, instruction-following, and content safety labeling, all within structured prompt evaluation and response ranking workflows.

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

Industry-Leading Compensation

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