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 by evaluating, ranking, and QA-checking model outputs to drive model performance improvement.

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About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will work remotely on AI/LLM workflows focused on RLHF, prompt evaluation, and large language model evaluation. Your work will directly impact training data quality through careful evaluation, ranking, and validation of model-generated responses, following strict annotation guidelines compliance to enable measurable model performance improvement.

Key Responsibilities

Evaluate and rank model-generated outputs in English and German; perform QA evaluation to verify correctness, completeness, and instruction-following; write clear reasoning and rationales for rankings and quality decisions; validate labels against annotation guidelines compliance and resolve edge cases; perform prompt evaluation and pairwise preference judgments for RLHF; conduct content safety labeling and policy-based assessments; identify recurring error patterns and escalate issues impacting training data quality; contribute to calibration by comparing decisions with team standards to improve consistency and model performance improvement.

Basic Qualifications

Based in Germany with authorization to work remotely; fluent in English and German (professional reading and writing); strong analytical skills with the ability to apply rules consistently; excellent attention to detail and comfort with repetitive evaluation, ranking, and QA workflows; ability to explain reasoning clearly and concisely when documenting decisions.

Preferred Qualifications

Prior experience in data labeling, QA evaluation, or annotation work; familiarity with LLM evaluation, RLHF concepts, or prompt evaluation; experience interpreting and applying annotation guidelines; self-driven, reliable, and able to manage time effectively in a remote environment; interest in content safety labeling and training data quality improvement.

Compensation and Schedule

Pay is $35–$40 per hour (USD), full-time, remote. Exact scheduling and weekly hours are aligned with project needs and Germany-based availability.

How to Apply

Apply through Rexzone with your updated resume/CV and a brief note confirming Germany-based location and English/German fluency. Selected candidates may complete a short evaluation task focused on large language model evaluation and annotation guidelines compliance.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. The role is remote, and you must be based in Germany.

  • Q: What tasks will I do?

    You will evaluate and rank model outputs, perform QA evaluation and validation, write reasoning/rationales, follow annotation guidelines compliance, and support RLHF and training data quality workstreams, including prompt evaluation and content safety labeling.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. Strong analytical skills, attention to detail, and the ability to follow guidelines are essential; you will be trained on the evaluation framework.

  • Q: What languages are required?

    Fluency in both English and German is required because you will assess and write judgments in both languages.

  • Q: What domains are covered?

    Domains can include general knowledge, writing quality, instruction-following, reasoning, factuality, and content safety—supporting large language model evaluation and model performance improvement.

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

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