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 reviewing, ranking, and QA-checking model outputs. You will apply annotation guidelines compliance to improve training data quality, write clear rationales, and drive model performance improvement through consistent evaluation and validation of responses across domains.

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate model-generated outputs in AI/LLM workflows, perform RLHF-style ranking and prompt evaluation, and validate results against annotation guidelines. Your work directly improves training data quality and supports model performance improvement by producing high-quality labels, QA evaluation, and reasoning-based rationales for large language model evaluation.

Key Responsibilities

Evaluate and rank model responses in English and German for large language model evaluation; perform QA evaluation and validation checks to ensure training data quality; write structured reasoning rationales that justify rankings and identify errors; label and annotate data following annotation guidelines compliance, including prompt evaluation and content safety labeling when required; audit edge cases, escalate policy ambiguities, and propose updates to annotation guidelines; track disagreement patterns, calibrate decisions with team standards, and improve consistency across evaluators; support dataset sampling, error analysis, and iterative model performance improvement through feedback loops.

Basic Qualifications

Must be based in Germany and eligible to work as a remote contractor/worker as applicable; fluent in English and German (reading and writing); strong analytical skills with the ability to compare outputs, detect subtle issues, and apply consistent evaluation criteria; high attention to detail and comfort following annotation guidelines compliance; ability to write concise, well-structured rationales explaining evaluation, ranking, and validation decisions; reliable internet connection and ability to work full-time on a remote schedule.

Preferred Qualifications

Prior experience with data labeling, QA evaluation, or content review; familiarity with RLHF, LLM evaluation, and prompt evaluation concepts; experience applying annotation guidelines and maintaining training data quality in production workflows; self-driven and comfortable managing workload independently while meeting quality targets; interest in cross-domain evaluation (e.g., general knowledge, reasoning, summarization, safety) to support model performance improvement.

Compensation

Pay: $35–$40 USD per hour, depending on performance, task complexity, and quality outcomes. This role is remote and full-time.

How to Apply

Apply through Rexzone with your up-to-date resume/CV and a brief note highlighting bilingual English/German proficiency and any experience in evaluation, QA, data labeling, or annotation guidelines.

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 tasks such as evaluation, ranking, QA evaluation, validation, prompt evaluation, and writing reasoning-based rationales to improve training data quality and model performance improvement.
Q: Do I need AI experience?
AI experience is helpful but not required. We value strong analytical skills, attention to detail, and the ability to follow annotation guidelines compliance; training is provided for task standards.
Q: What languages are required?
Fluency in both English and German (written and reading comprehension) is required for bilingual evaluation and labeling.
Q: What domains are covered?
You may evaluate across multiple domains, including general knowledge, reasoning, summarization, instruction following, and content safety labeling, depending on project needs.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

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