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

Rexzone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation by ranking model outputs, writing clear rationales, and enforcing annotation guidelines compliance to 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 work remotely to evaluate, rank, and QA model-generated responses across multiple task types. Your feedback and rationales directly support RLHF workflows, large language model evaluation, and training data quality initiatives that enable measurable model performance improvement.

What You Will Do

You will perform prompt evaluation and response ranking, validate outputs against project rubrics, and produce concise reasoning for decisions. You will follow annotation guidelines compliance requirements, complete QA evaluation checks, and label content for safety and policy adherence when applicable.

Key Responsibilities

Evaluation and ranking of model outputs in English and German; QA evaluation of labeled data and peer work; reasoning and rationale writing to support RLHF; validation of task instructions, edge cases, and rubric adherence; content safety labeling and escalation of policy-sensitive items; training data quality checks to reduce noise and improve consistency; continuous calibration to maintain high inter-annotator agreement.

Basic Qualifications

Based in Germany and authorized to work as an independent contractor or employee (per local requirements); fluent in German and English (reading and writing); strong analytical skills and attention to detail; ability to follow annotation guidelines compliance with high consistency; comfort working with web-based annotation tools and spreadsheets; reliable internet connection and ability to meet production and QA targets.

Preferred Qualifications

Prior experience with data labeling, QA evaluation, or editorial review; familiarity with LLM evaluation concepts (e.g., helpfulness, harmlessness, factuality, style); experience writing structured rationales for ranking decisions; understanding of RLHF or model training feedback loops; self-driven, organized, and able to manage ambiguous cases with sound judgment.

Compensation and Schedule

Pay rate is $35–$40 USD per hour. This is a full-time, remote role based in Germany. Work volume and scheduling will be aligned with project needs and quality requirements.

How to Apply

Apply through Rexzone with an up-to-date resume and a brief summary of your bilingual (English/German) experience. Candidates may complete a short skills assessment focused on large language model evaluation, prompt evaluation, and training data quality decision-making.

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 tasks such as prompt evaluation, response ranking, QA evaluation, validation against rubrics, and writing clear reasoning/rationales to support RLHF and training data quality.
Q: Do I need AI experience?
AI experience is helpful but not always required. You must be able to follow annotation guidelines compliance, think analytically, and make consistent evaluation decisions; training is provided for project-specific workflows.
Q: What languages are required?
Fluency in both German and English (reading and writing) is required.
Q: What domains are covered?
You may evaluate model outputs across general knowledge, reasoning, writing quality, instruction-following, and content safety labeling, with a focus on improving training data quality and model performance improvement.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

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