Germany-Based English & German AI Generalist Trainer (Remote, Full-Time) 2026 May

Rexzone is hiring Germany-based English/German AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and quality-checking model outputs to strengthen training data quality and drive model performance improvement.

About the Role

As a Germany-based English & German AI Generalist Trainer at Rexzone, you will evaluate and improve AI/LLM behaviors through RLHF-style workflows. Your work focuses on large language model evaluation, prompt evaluation, and QA evaluation, including ranking model-generated responses, validating factuality and instruction-following, and writing clear rationales. You will follow annotation guidelines compliance standards to ensure consistent training data quality and measurable model performance improvement.

Key Responsibilities

Perform large language model evaluation across English and German prompts and responses; rank multiple model outputs using defined rubrics and reasoning; conduct QA evaluation by auditing items for annotation guidelines compliance; write concise rationales that justify rankings and highlight reasoning errors; validate outputs for safety, policy adherence, and content safety labeling needs; identify edge cases, ambiguity, and failure modes, then document them for model performance improvement; apply data labeling standards to create reliable feedback signals for RLHF pipelines; track discrepancies, escalate guideline questions, and support consistent training data quality.

Basic Qualifications

Based in Germany and able to work remotely from Germany; fluent in both English and German (written and reading proficiency required); strong analytical skills with the ability to evaluate arguments, logic, and evidence; exceptional attention to detail and consistency in applying rubrics; ability to follow structured processes and meet productivity and quality targets; comfortable working with sensitive or policy-relevant content under content safety labeling rules.

Preferred Qualifications

Prior experience in AI data labeling, RLHF, prompt evaluation, or large language model evaluation; familiarity with LLM capabilities and common failure patterns (hallucinations, instruction drift, bias, safety issues); background in linguistics, translation, writing/editing, QA, research, or content moderation; self-driven and reliable in a remote environment, with strong time management and documentation habits.

Compensation

This is a full-time remote role. Pay is $35–$40 USD per hour, based on skills, language proficiency, and evaluation quality.

How to Apply

Apply through Rexzone with an updated resume and a brief note describing your English/German proficiency and any experience with evaluation, QA, annotation, or AI/LLM workflows. Candidates may be asked to complete a short skills assessment focused on ranking, reasoning, and training data quality.

Frequently Asked Questions

Q: Is This Role Remote?
Yes. This is a remote, full-time role, but you must be based in Germany.
Q: What Tasks Will I Do?
You will perform large language model evaluation, rank model-generated outputs, complete QA evaluation checks, validate responses against rubrics and policies, and write clear rationales that support RLHF and training data quality.
Q: Do I Need AI Experience?
AI experience is helpful but not required. If you can follow annotation guidelines compliance requirements, apply consistent reasoning, and deliver high-quality evaluations, Rexzone will provide role-specific guidance.
Q: What Languages Are Required?
Fluency in English and German is required, including strong reading and writing skills in both languages.
Q: What Domains Are Covered?
You may evaluate prompts and outputs across general knowledge, writing quality, summarization, translation, safety and content safety labeling, instruction-following, and reasoning tasks aimed at model performance improvement.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

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