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

Rex.zone; United States; Remote; USD 41,000 - 69,000; Full time

Job summary

Rex.zone is hiring Germany-based English/German AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and validating model outputs to improve training data quality and drive model performance.

As a fully remote, full-time role based in Germany, you will evaluate outputs in English and German, write concise rationales, and help ensure policy compliance and safety labeling.

Qualifications

• Based in Germany and able to work remotely on a full-time schedule.
• Fluent in German and English (reading, writing, and nuance in both languages).
• Strong analytical reasoning and attention to detail; consistent guideline compliance.
• Comfortable working with structured workflows, task queues, and quality targets.
• Able to handle sensitive or safety-related content in line with labeling policies.

Responsibilities

• Evaluate and rank model outputs in English and German using rubrics.
• Perform RLHF-style preference rankings and prompt evaluation.
• QA evaluate to ensure training data quality and guideline adherence.
• Write concise, evidence-based rationales for evaluation decisions.
• Validate outputs for completeness, safety labeling, and policy compliance.
• Flag ambiguous prompts and gaps; propose clarifications.
• Track errors and failure patterns affecting performance.

Skills

German language

English language

Analytical reasoning

Attention to detail

Job description

About The Role

Rex.zone is hiring Germany-based English/German AI Generalist Trainers to support RLHF and large language model evaluation by assessing, ranking, and validating model outputs to improve training data quality and drive model performance improvement.

Responsibilities

• Evaluate and rank model-generated outputs in English and German using defined rubrics and annotation guidelines
• Perform RLHF-style preference ranking and prompt evaluation to identify the best responses
• Conduct QA evaluation to ensure training data quality, consistency, and annotation guidelines compliance
• Write concise, evidence-based rationales explaining evaluation decisions
• Validate outputs for completeness, policy adherence, and content safety labeling requirements
• Flag ambiguous prompts, edge cases, and guideline gaps; propose clarifications
• Track errors, patterns, and failure modes that affect evaluation outcomes and model performance

Basic Qualifications

• Based in Germany and able to work remotely on a full-time schedule
• Fluent in German and English (reading, writing, and nuance in both languages)
• Strong analytical reasoning and attention to detail; consistent guideline compliance
• Comfortable working with structured workflows, task queues, and quality targets
• Able to handle sensitive or safety-related content in line with labeling policies

Preferred Qualifications

• Experience with data labeling, LLM evaluation, prompt evaluation, or QA evaluation
• Familiarity with RLHF concepts, preference ranking, and common LLM failure modes
• Self-driven and reliable in a remote environment

Compensation

$35--$40 USD per hour (hourly).

Feed salary range:

$30--$50 USD per hour.