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 evaluating, ranking, and QA-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 contribute to AI/LLM workflows by performing large language model evaluation, RLHF-style preference ranking, and QA evaluation of model-generated content. You will follow annotation guidelines compliance requirements, write clear rationales, and validate outputs so training data quality remains high and supports reliable model performance improvement. This is a fully remote, full-time role for candidates located in Germany with fluent English and German.

Key Responsibilities

Evaluate and rank model-generated responses in English and German using defined rubrics and prompt evaluation criteria; perform QA evaluation and validation checks to ensure training data quality, consistency, and annotation guidelines compliance; write concise reasoning rationales to justify rankings and support RLHF preference datasets; identify errors such as hallucinations, factuality issues, unsafe content, and instruction-following failures, then document findings; apply content safety labeling and policy-based decisions across general domains; review edge cases, escalate unclear items, and propose rubric clarifications to improve evaluation reliability; audit completed work for accuracy, completeness, and adherence to formatting and evidence requirements; contribute to process improvements that support large language model evaluation at scale.

Basic Qualifications

Must be currently based in Germany and authorized to work as a contractor where applicable; fluent in English and German (reading, writing, and comprehension) with the ability to judge tone, grammar, and meaning; strong analytical skills with structured reasoning and the ability to compare alternatives; exceptional attention to detail and consistency when applying rubrics and annotation guidelines; comfortable working independently in a remote environment with reliable internet and time management discipline.

Preferred Qualifications

Prior experience with AI data labeling, prompt evaluation, QA evaluation, or RLHF-style ranking; familiarity with LLM behavior (e.g., instruction following, safety, hallucinations, and helpfulness) and large language model evaluation concepts; experience working with annotation platforms, taxonomies, and quality sampling workflows; self-driven, highly accountable, and able to maintain high throughput without sacrificing training data quality.

Compensation

USD $35–$40 per hour, depending on skills alignment and performance in qualification tasks. Full-time, remote.

How to Apply

Apply to Rexzone with a brief summary of your English/German proficiency, any evaluation or annotation experience, and your availability. Selected candidates may complete a short assessment focused on ranking, reasoning, and annotation guidelines compliance.

Frequently Asked Questions

Q: Is this role remote?
Yes. This is a fully 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 evaluating outputs, ranking responses, completing QA evaluation and validation checks, writing reasoning rationales, and applying content safety labeling while following annotation guidelines compliance requirements.
Q: Do I need AI experience?
AI experience is helpful but not required. Strong analytical skills, attention to detail, and the ability to follow rubrics and annotation guidelines are essential; training and calibration are provided for project-specific standards.
Q: What languages are required?
Fluent English and German are required. You will evaluate and compare model outputs in both languages.
Q: What domains are covered?
Generalist domains may include everyday knowledge, customer-style queries, writing quality, safety and policy checks, factuality, reasoning, and instruction-following—focused on training data quality and model performance improvement.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

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