Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF, large language model evaluation, and training data quality through structured ranking, QA evaluation, and rationale writing to drive model performance improvement.

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About the Role

In this remote, full-time role, you will evaluate and improve AI/LLM outputs by performing RLHF-style assessments, pairwise ranking, and prompt evaluation across varied tasks. You will follow detailed annotation guidelines, apply consistent reasoning, and document rationales to support training data quality and model performance improvement at Rexzone.

Key Responsibilities

• Evaluate model-generated responses for correctness, helpfulness, safety, and policy adherence • Rank multiple outputs (pairwise and listwise) to support RLHF optimization • Perform QA evaluation by validating labels, spotting inconsistencies, and escalating edge cases • Write clear, evidence-based rationales that reflect strong reasoning and annotation guidelines compliance • Validate prompt/response alignment and identify hallucinations, omissions, and unsupported claims • Apply content safety labeling and sensitive-content handling standards consistently • Track recurring error patterns and provide feedback to improve rubrics and training data quality • Maintain high throughput while meeting accuracy targets and audit readiness

Basic Qualifications

• Must be based in Germany and available for remote work • Fluent in German and English (reading and writing) with strong grammar and tone control • Strong analytical skills and structured reasoning for large language model evaluation • High attention to detail and consistency with annotation guidelines compliance • Comfortable working with web-based labeling tools and spreadsheets • Ability to follow defined rubrics, document decisions, and complete validation steps

Preferred Qualifications

• Prior experience in data labeling, QA evaluation, prompt evaluation, or content review • Familiarity with LLM evaluation concepts (e.g., RLHF, ranking, rubric-based grading) • Experience with content safety labeling, policy interpretation, or trust & safety workflows • Self-driven, reliable, and able to manage time effectively in a remote environment • Interest in improving AI systems through iterative evaluation and training data quality work

How to Apply

Apply through Rexzone with a short summary of your bilingual (English/German) experience, availability in Germany, and any relevant evaluation, annotation, or QA background. Selected candidates may complete a brief skills assessment focused on ranking, reasoning, and annotation guideline adherence.

Frequently Asked Questions

  • Q: Is this role remote?

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

  • Q: What tasks will I do?

    You will perform large language model evaluation, including prompt evaluation, ranking model outputs for RLHF, QA evaluation, validation of labels, and writing rationales to support training data quality and model performance improvement.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. Strong analytical reasoning, attention to detail, and the ability to follow annotation guidelines compliance are essential.

  • Q: What languages are required?

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

  • Q: What domains are covered?

    Domains vary and may include general knowledge, customer-style assistance, rewriting and translation, safety-sensitive content, and other tasks requiring content safety labeling and careful evaluation.

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

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