RE
Germany-Based English & German AI Generalist Trainer 2026 May
- Salary
- $30–$50/hr
- Hiring from
- Germany
- Work type
- Remote
- Posted
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About The Role
As a Germany-based English & German AI Generalist Trainer at Rex.zone, you will evaluate and improve AI systems by assessing model-generated outputs across diverse domains. You will apply RLHF-style ranking and prompt evaluation, write clear rationales, and follow annotation guidelines compliance to produce high-quality training signals that improve training data quality and model performance.
What You Will Do
Hourly pay range: $30–$50 USD per hour (based on role requirements and performance).
Schedule: Full-time, remote (Germany-based).
How Success Is Measured
As a Germany-based English & German AI Generalist Trainer at Rex.zone, you will evaluate and improve AI systems by assessing model-generated outputs across diverse domains. You will apply RLHF-style ranking and prompt evaluation, write clear rationales, and follow annotation guidelines compliance to produce high-quality training signals that improve training data quality and model performance.
What You Will Do
- Review prompts and model responses in German and English
- Compare alternatives and rank outputs (RLHF-style ranking)
- Perform prompt evaluation, QA evaluation, and validation against annotation guidelines
- Write concise, consistent rationales that support training data quality
- Flag and label content safety issues when required
- Contribute to continuous improvement of evaluation rubrics and quality checks
- Based in Germany (remote, full-time)
- Fluent in German and English (bilingual evaluation and rationale writing)
- Comfortable with structured evaluation, careful reasoning, and consistent guideline application
- AI/annotation experience preferred but not required
Hourly pay range: $30–$50 USD per hour (based on role requirements and performance).
Schedule: Full-time, remote (Germany-based).
How Success Is Measured
- Annotation guidelines compliance
- Accuracy and consistency of ranking decisions
- Quality of written rationales
- QA pass rates and validation outcomes
- Overall contribution to training data quality and model performance improvement