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 large language model evaluation through RLHF-style ranking, prompt evaluation, and QA evaluation. You will assess model-generated outputs, write clear rationales, and follow annotation guidelines compliance to strengthen training data quality and drive model performance improvement across AI/LLM workflows.

About the Role

As an AI Generalist Trainer, you will evaluate, compare, and rank AI responses in English and German to support large language model evaluation. Your feedback, reasoning, and validation help improve training data quality and enable model performance improvement. You will apply RLHF-aligned judgments, follow strict annotation guidelines compliance, and perform QA evaluation to ensure consistent, safe, and useful outputs.

Key Responsibilities

Perform large language model evaluation by reviewing prompts and model outputs in English and German; rank and compare multiple responses using RLHF-style criteria; write concise, evidence-based rationales that explain reasoning and trade-offs; execute QA evaluation and validation checks to confirm annotation accuracy and policy adherence; apply annotation guidelines compliance for data labeling, prompt evaluation, and content safety labeling; identify edge cases, ambiguity, and failure modes and escalate them with clear examples; track issues impacting training data quality and propose guideline clarifications to improve consistency.

Basic Qualifications

Must be based in Germany and authorized to work remotely from Germany; fluent in English and German (reading and writing) with strong grammar and clarity; strong analytical skills for reasoning, comparison, and consistent decision-making; high attention to detail for data labeling, QA evaluation, and guideline adherence; comfort working with web tools, following instructions, and meeting quality targets in a remote setting.

Preferred Qualifications

Prior experience in annotation, data labeling, prompt evaluation, or QA evaluation; familiarity with LLM evaluation concepts, RLHF, and common model failure patterns (hallucinations, safety issues, instruction non-compliance); experience applying annotation guidelines compliance and documenting edge cases; self-driven, reliable, and able to manage workload independently while collaborating asynchronously.

How to Apply

Apply through Rexzone and include a brief summary of your bilingual (English/German) experience, your Germany-based availability for remote work, and any background relevant to large language model evaluation, training data quality, or quality assurance.

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, including prompt evaluation, ranking and comparing model responses (RLHF-style), writing rationales, completing QA evaluation, and running validation checks to protect training data quality.
Q: Do I need AI experience?
AI experience is helpful but not required. You must be able to follow annotation guidelines compliance, apply consistent reasoning, and maintain high accuracy; training is provided for workflows and criteria.
Q: What languages are required?
Fluency in English and German is required, as you will evaluate and write feedback in both languages.
Q: What domains are covered?
Domains vary and may include general knowledge, customer support-style prompts, writing and summarization, reasoning tasks, and content safety labeling to support model performance improvement.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

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