RE
Germany-Based English & German AI Generalist Trainer
- Salary
- $35–$40/hr
- Hiring from
- Germany
- Work type
- Remote
- Posted
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About Rex.zone
Rex.zone is hiring Germany-based AI Generalist Trainers to support large language model evaluation through RLHF, prompt evaluation, and QA evaluation—improving training data quality and driving model performance improvement via consistent ranking, validation, and annotation guidelines compliance.
About The Role
As a Germany-based English & German AI Generalist Trainer, you will evaluate model-generated outputs across common user scenarios and help improve AI/LLM workflows. This is a full-time remote role and you must be based in Germany. You will apply rubrics and annotation guidelines, write clear rationales, and support high-quality training data.
Responsibilities
Full-time, remote. Compensation is $35–$40 USD per hour depending on assessment results and role alignment. (Feed salary range: $30–$50/hr.)
How To Apply
Apply with an up-to-date resume/CV and a brief note describing your experience evaluating written content in German and English. Highlight any work involving data labeling, QA evaluation, prompt evaluation, or annotation guidelines compliance.
Rex.zone is hiring Germany-based AI Generalist Trainers to support large language model evaluation through RLHF, prompt evaluation, and QA evaluation—improving training data quality and driving model performance improvement via consistent ranking, validation, and annotation guidelines compliance.
About The Role
As a Germany-based English & German AI Generalist Trainer, you will evaluate model-generated outputs across common user scenarios and help improve AI/LLM workflows. This is a full-time remote role and you must be based in Germany. You will apply rubrics and annotation guidelines, write clear rationales, and support high-quality training data.
Responsibilities
- Evaluate and compare model-generated responses in German and English using defined rubrics
- Rank outputs for RLHF datasets and document reasoning/rationales for preference decisions
- Perform prompt evaluation and QA evaluation to identify inconsistencies, factual errors, or policy violations
- Validate labeled data for training data quality, including edge-case handling and guideline adherence
- Apply annotation guidelines compliance and escalate ambiguous cases with well-structured notes
- Conduct content safety labeling and ensure safe-completion standards are met
- Review peer work, provide calibrated feedback, and support ongoing quality improvement
- Track recurring error patterns and propose rubric or guideline clarifications for model performance improvement
- Based in Germany and authorized to work from Germany
- Fluent in German and English (written and reading comprehension for detailed evaluations)
- Strong analytical skills and ability to justify rankings with clear reasoning
- High attention to detail and consistency when following rubrics and annotation guidelines
- Comfortable working with ambiguity and applying policy/rubric judgment
- Reliable internet connection and ability to meet quality and throughput targets in a remote setting
- Experience with data labeling, content safety labeling, or QA evaluation
- Familiarity with LLM evaluation concepts (RLHF, preference ranking, prompt evaluation)
- Background in linguistics, translation, writing, research, or quality assurance
- Experience working with annotation tools and structured feedback loops
Full-time, remote. Compensation is $35–$40 USD per hour depending on assessment results and role alignment. (Feed salary range: $30–$50/hr.)
How To Apply
Apply with an up-to-date resume/CV and a brief note describing your experience evaluating written content in German and English. Highlight any work involving data labeling, QA evaluation, prompt evaluation, or annotation guidelines compliance.