Germany-Based English & German AI Generalist Trainer 2026 May

Rexzone is hiring Germany-based, bilingual (German/English) AI Generalist Trainers to support large language model evaluation through RLHF-style ranking, prompt evaluation, and QA evaluation workflows that improve 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 systems by assessing model-generated outputs across multiple domains. You will follow annotation guidelines compliance to label and rank responses, write clear rationales, and perform large language model evaluation tasks that directly impact training data quality and model performance improvement. This is a remote, full-time role focused on RLHF, LLM evaluation, data labeling, and validation of AI output quality.

Key Responsibilities

Evaluate model outputs in English and German for correctness, helpfulness, and safety; Rank multiple responses using RLHF-style preference signals and prompt evaluation rubrics; Perform QA evaluation to detect errors, inconsistencies, and policy violations; Write concise reasoning and rationales that justify rankings and decisions; Apply annotation guidelines compliance and maintain consistent labeling standards; Validate tasks through spot checks, self-review, and calibration feedback; Identify systematic issues impacting training data quality and escalate edge cases; Support content safety labeling and sensitive-content handling where required; Track productivity and quality metrics while maintaining high attention to detail.

Basic Qualifications

Must be based in Germany and eligible to work remotely from Germany; Fluent in German and English (written and reading comprehension required); Strong analytical skills with the ability to compare outputs and explain reasoning; Excellent attention to detail and consistency across repeated evaluations; Comfortable working with structured guidelines, rubrics, and QA workflows; Ability to meet full-time availability and deliver reliable throughput and quality.

Preferred Qualifications

Prior experience in AI data labeling, LLM evaluation, RLHF, prompt evaluation, or QA evaluation; Familiarity with common failure modes in large language model evaluation (hallucinations, instruction-following gaps, bias, unsafe content); Experience writing clear rationales and applying annotation guidelines compliance; Self-driven, organized, and able to work independently in a remote environment; Interest in improving training data quality and supporting model performance improvement through iterative evaluation.

Compensation

Pay rate: $35–$40 USD per hour (hourly).

How to Apply

Apply to Rexzone with a brief summary of your bilingual (German/English) background and any experience relevant to LLM evaluation, RLHF ranking, data labeling, prompt evaluation, content safety labeling, or training data quality work.

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-generated outputs, perform QA evaluation, write reasoning/rationales, validate labeling decisions, and follow annotation guidelines compliance to improve training data quality.
Q: Do I need AI experience?
AI/annotation experience is preferred but not strictly required; strong analytical skills, attention to detail, and the ability to learn large language model evaluation workflows are essential.
Q: What languages are required?
Fluency in both German and English is required, as you will evaluate content in both languages.
Q: What domains are covered?
You may evaluate prompts and responses across general knowledge, reasoning, writing quality, instruction following, and content safety labeling, depending on project needs.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

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