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 assessing, ranking, and validating model outputs to strengthen training data quality and drive model performance improvement.

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About the Role

As a Germany-Based English & German AI Generalist Trainer (Remote, Full-Time) 2026 May at Rexzone, you will evaluate and improve AI/LLM systems by reviewing model-generated content, comparing responses, and writing clear rationales. Your work supports RLHF pipelines, training data quality, and large language model evaluation across multilingual prompts and outputs. You will apply annotation guidelines compliance, perform QA evaluation, and help identify edge cases that affect model performance improvement.

Key Responsibilities

• Perform large language model evaluation by scoring and ranking model outputs against defined rubrics. • Execute RLHF-style preference ranking and pairwise comparisons to guide model training. • Conduct QA evaluation on labeled data, validating consistency, accuracy, and annotation guidelines compliance. • Write concise, evidence-based rationales that explain reasoning for evaluations and rankings. • Identify and flag safety, policy, and content risks through content safety labeling and escalation workflows. • Validate prompt-response alignment, factuality, tone, and instruction-following for model performance improvement. • Apply annotation guidelines, update feedback notes, and report recurring error patterns affecting training data quality. • Maintain productivity and quality targets while collaborating asynchronously with remote QA and operations teams.

Basic Qualifications

• Must be based in Germany and able to work remotely from Germany. • Fluency in English and German (reading and writing) with strong grammar and comprehension. • Demonstrated analytical skills, structured reasoning, and the ability to justify decisions. • High attention to detail and consistency when following rubrics and annotation guidelines. • Comfort working with web-based annotation tools and handling repetitive evaluation and validation tasks.

Preferred Qualifications

• Prior experience with data labeling, prompt evaluation, QA evaluation, or other annotation workflows. • Familiarity with LLM evaluation concepts (helpfulness, harmlessness, instruction-following, reasoning quality). • Understanding of RLHF, preference ranking, or evaluation datasets used to improve model behavior. • Self-driven, reliable, and comfortable managing time in a remote environment. • Experience working with content safety labeling or policy-based review processes.

How to Apply

Apply to Rexzone with a short summary of your English/German language proficiency and any relevant evaluation, data labeling, or QA experience. If selected, you will complete an assessment focused on reasoning, ranking quality, and annotation guidelines compliance.

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 tasks such as rating outputs, preference ranking for RLHF, QA evaluation, validation of labeled data, and writing rationales that explain your reasoning.

  • Q: Do I need AI experience?

    AI experience is helpful but not required. You must be able to follow annotation guidelines, apply consistent judgment, and produce high-quality evaluations that improve training data quality.

  • Q: What languages are required?

    Fluency in both English and German is required, including strong reading and writing skills.

  • Q: What domains are covered?

    Domains may include general knowledge, customer-style conversations, reasoning and instruction-following, and content safety labeling—focused on model performance improvement through consistent evaluation and ranking.

230+Domains Covered
120K+PhD, Specialist, Experts Onboarded
50+Countries Represented

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