Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support large language model evaluation through RLHF, prompt evaluation, and training data quality workflows. You will assess, rank, and QA model-generated outputs, write clear rationales, and ensure annotation guidelines compliance to drive model performance improvement.

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will work remotely and full-time on large language model evaluation projects. Your work includes RLHF-style preference ranking, prompt evaluation, QA evaluation, and content safety labeling to improve training data quality and overall model performance improvement. You will follow detailed annotation guidelines, validate edge cases, and document reasoning in both English and German when required by the task.

Responsibilities

Evaluate model-generated outputs for helpfulness, correctness, safety, and policy adherence; Rank and compare multiple responses using RLHF preference signals and clear rubrics; Perform QA evaluation on labeled datasets to ensure training data quality and consistency; Write concise, well-structured rationales that explain reasoning and support validation decisions; Validate tasks against annotation guidelines compliance and escalate ambiguous cases with evidence; Review prompts and perform prompt evaluation to identify failure modes and improve coverage; Apply content safety labeling for sensitive content and enforce policy constraints; Track recurring model errors, categorize issues, and suggest improvements that support model performance improvement.

Basic Qualifications

Must be based in Germany and able to work remotely full-time; Fluency in English and German (reading and writing) for bilingual evaluation tasks; Strong analytical skills with the ability to compare outputs, detect subtle errors, and apply rubrics consistently; Excellent attention to detail, especially when following annotation guidelines and performing QA; Comfortable explaining reasoning, documenting decisions, and performing validation in a structured way.

Preferred Qualifications

Prior experience in data labeling, annotation, QA evaluation, or large language model evaluation; Familiarity with RLHF concepts, ranking tasks, and prompt evaluation methodologies; Experience applying content safety labeling or policy-based review; Self-driven, reliable, and able to manage throughput while maintaining training data quality; Comfort working with evolving annotation guidelines and adapting quickly to new domains.

Compensation

Pay is $35–$40 per hour (USD), depending on task complexity and performance.

How to Apply

Apply through Rexzone and include a brief summary of your bilingual English/German experience and any relevant evaluation, data labeling, or QA background. If selected, you may be asked to complete a short assessment focused on large language model evaluation, reasoning, and annotation guidelines compliance.

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 evaluate and rank model outputs, perform QA evaluation and validation checks, complete prompt evaluation, write rationales explaining reasoning, and follow annotation guidelines compliance to support training data quality.
Q: Do I need AI experience?
AI experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to learn annotation guidelines quickly are essential.
Q: What languages are required?
Fluency in both English and German is required for bilingual evaluation and labeling tasks.
Q: What domains are covered?
Projects may include general knowledge, reasoning, summarization, customer support-style prompts, and content safety labeling as part of large language model evaluation and model performance improvement.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

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