Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual English/German AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and validating model-generated outputs. You will apply annotation guidelines compliance to improve training data quality, write clear rationales, and perform QA evaluation to drive model performance improvement across AI/LLM workflows.

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About the Role

As an AI Generalist Trainer at Rexzone, you will evaluate and rank LLM outputs, conduct prompt evaluation and LLM evaluation, and produce high-quality rationales that support RLHF workflows. Your work directly impacts training data quality and model performance improvement through consistent labeling decisions, careful reasoning, and strong annotation guidelines compliance.

Key Responsibilities

Perform large language model evaluation by reviewing responses for correctness, helpfulness, and safety; rank multiple model outputs and justify choices with concise reasoning; execute QA evaluation and validation checks to ensure training data quality and consistency; follow data labeling specs and maintain annotation guidelines compliance; identify edge cases, ambiguity, and systematic errors, then document feedback to improve model behavior; apply content safety labeling where required and flag policy-violating content; calibrate with team standards and incorporate reviewer feedback to reduce variance.

Basic Qualifications

Based in Germany and authorized to work remotely from Germany; fluent in both German and English (reading and writing); strong analytical skills with the ability to evaluate nuanced language and reasoning; exceptional attention to detail and consistency when following guidelines; able to write clear rationales explaining evaluation, ranking, and validation decisions; reliable internet connection and ability to meet quality and productivity targets.

Preferred Qualifications

Prior experience with AI training data, data labeling, or annotation projects; familiarity with RLHF concepts, prompt evaluation, and LLM evaluation; experience performing QA, audits, or quality control for structured workflows; knowledge of content safety labeling practices; self-driven, comfortable working independently, and responsive to feedback and guideline updates.

Compensation and Employment Details

Full-time remote role based in Germany. Compensation is $35–$40 USD per hour, depending on skills, performance, and project requirements.

How to Apply

Apply through Rexzone and be prepared to complete a skills screening focused on language fluency, reasoning, and guideline-based evaluation. Strong performance in evaluation, ranking, and QA tasks will be prioritized.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. This is a remote, full-time role, and you must be based in Germany.

  • Q: What tasks will I do?

    You will perform large language model evaluation, rank model-generated outputs, write rationales, complete validation checks, and run QA evaluation to support RLHF and training data quality.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. You must be able to follow annotation guidelines compliance, apply strong reasoning, and maintain consistent quality.

  • Q: What languages are required?

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

  • Q: What domains are covered?

    Tasks may include general knowledge, writing quality, reasoning, instruction-following, and content safety labeling, depending on the evaluation and data labeling project.

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

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