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. You will apply annotation guidelines compliance, perform prompt evaluation and QA evaluation, and document reasoning to strengthen training data quality and drive model performance improvement across AI/LLM workflows.

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About the Role

As an AI Generalist Trainer at Rexzone, you will evaluate model-generated outputs in English and German, rank responses, and write clear rationales that align with annotation guidelines. Your work directly impacts training data quality, large language model evaluation, and model performance improvement through RLHF-style feedback, prompt evaluation, and systematic QA evaluation.

Key Responsibilities

Perform large language model evaluation by reviewing prompts and outputs; rank and compare responses using defined rubrics; execute QA evaluation to validate consistency, factuality, and policy adherence; apply content safety labeling and data labeling standards; write concise reasoning and justifications for rankings; validate edge cases and escalate ambiguous examples; ensure annotation guidelines compliance and maintain training data quality; track errors, propose rubric clarifications, and support model performance improvement.

Basic Qualifications

Based in Germany and eligible to work as a remote contractor/employee as applicable; fluent in German and English (written and spoken); strong analytical skills with the ability to evaluate reasoning and evidence; high attention to detail and consistency across repetitive tasks; comfortable following annotation guidelines and documenting decisions clearly; reliable internet connection and ability to meet daily quality and throughput targets.

Preferred Qualifications

Prior experience with AI data labeling, RLHF, LLM evaluation, or prompt evaluation; familiarity with common failure modes in LLMs (hallucinations, instruction-following issues, safety concerns); experience with content safety labeling and QA evaluation workflows; self-driven, organized, and comfortable working independently in a remote environment; able to learn new rubrics quickly and maintain annotation guidelines compliance.

Compensation and Schedule

Pay is $35–$40 USD per hour, depending on performance and task complexity. Full-time remote schedule with consistent weekly volume; you will receive clear instructions, rubrics, and quality feedback loops to support training data quality and model performance improvement.

How to Apply

Apply to Rexzone with a brief summary of your bilingual English/German experience, Germany location, and any relevant evaluation, QA, data labeling, or annotation work. If selected, you will complete a short qualification task focused on large language model evaluation and annotation guidelines compliance.

Frequently Asked Questions

  • Q: Is this role remote?

    Yes. This is a remote, full-time role for candidates based in Germany.

  • Q: What tasks will I do?

    You will evaluate and rank model-generated outputs, perform QA evaluation and validation, follow annotation guidelines compliance, write reasoning/rationales, and contribute to training data quality for RLHF and large language model evaluation.

  • Q: Do I need AI experience?

    AI experience is preferred but not required. Strong analytical skills, attention to detail, and the ability to follow rubrics and document reasoning are essential.

  • Q: What languages are required?

    Fluency in both German and English (written and spoken) is required.

  • Q: What domains are covered?

    Tasks can include general knowledge, writing quality, instruction-following, reasoning, and content safety labeling, all aimed at model performance improvement and improved training data quality.

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

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