Germany-Based English & German AI Generalist Trainer 2026 May

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

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and improve AI/LLM systems through RLHF-style tasks, large language model evaluation, and training data quality checks. You will rank model-generated responses, perform prompt evaluation and QA evaluation, validate edge cases, and document reasoning to support model performance improvement. This is a remote, full-time role requiring fluent English and German and strong attention to detail.

Key Responsibilities

Evaluate and rank model-generated outputs for helpfulness, correctness, safety, and instruction-following; perform QA evaluation to verify labeling accuracy, consistency, and annotation guidelines compliance; write concise, evidence-based rationales explaining rankings and corrections; validate tasks by checking sources, logic, and reasoning quality across English and German content; label and review datasets using data labeling and content safety labeling standards; identify ambiguity, escalate policy/quality issues, and propose guideline improvements to protect training data quality; track recurring model failure modes and provide structured feedback for model performance improvement.

Basic Qualifications

Must be based in Germany and eligible to work in Germany; fluent in English and German (reading and writing); strong analytical skills with the ability to evaluate arguments, reasoning, and factuality; high attention to detail and consistency when following annotation guidelines; ability to learn new rubrics quickly and apply them accurately; reliable internet connection and ability to work independently in a remote environment.

Preferred Qualifications

Prior experience in AI data annotation, RLHF, LLM evaluation, prompt evaluation, or QA evaluation; familiarity with LLM behaviors and common failure patterns (hallucinations, unsafe content, poor reasoning); experience applying content safety labeling or policy-based review; self-driven, organized, and comfortable managing throughput and quality targets; experience documenting decisions clearly for reviewers and cross-functional teams.

Compensation

USD $35–$40 per hour, paid hourly, depending on skills and performance in role-based assessments.

How to Apply

Apply through Rexzone with an updated resume/CV highlighting English/German proficiency and any experience with evaluation, QA, annotation, or language-focused work. Selected candidates will complete an assessment focused on large language model evaluation, ranking, and reasoning.

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 evaluate and rank model outputs, perform QA evaluation and validation checks, write rationales, follow annotation guidelines compliance, and contribute to training data quality for RLHF and large language model evaluation workflows.
Q: Do I need AI experience?
AI experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to learn evaluation rubrics are essential.
Q: What languages are required?
Fluent English and German are required, including strong reading and writing skills in both languages.
Q: What domains are covered?
You may review general knowledge, reasoning, summarization, instruction-following, and content safety labeling scenarios, with a focus on model performance improvement and training data quality.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

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