RE
Germany-Based English & German AI Generalist Trainer (Remote, Full-Time)
- Salary
- $35–$40/hr
- Hiring from
- Germany
- Work type
- Remote
- Posted
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Role Summary
Rex.zone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation. You will evaluate and rank model outputs, perform QA checks, and write clear rationales that improve training data quality and drive measurable model performance improvement.
About The Role
As a Germany-based English & German AI Generalist Trainer, you will work remotely to evaluate, rank, and QA model-generated responses across multiple task types. Your feedback directly supports LLM evaluation workflows and training data quality initiatives.
Key Responsibilities
Apply through Rex.zone with an up-to-date resume and a brief summary of your bilingual (English/German) experience. You may be asked to complete a short skills assessment focused on large language model evaluation and training data quality decision-making.
Rex.zone is hiring Germany-based, bilingual (English/German) AI Generalist Trainers to support RLHF and large language model evaluation. You will evaluate and rank model outputs, perform QA checks, and write clear rationales that improve training data quality and drive measurable model performance improvement.
About The Role
As a Germany-based English & German AI Generalist Trainer, you will work remotely to evaluate, rank, and QA model-generated responses across multiple task types. Your feedback directly supports LLM evaluation workflows and training data quality initiatives.
Key Responsibilities
- Evaluate and rank model outputs in both English and German
- Perform prompt evaluation, response ranking, and rubric-based validation
- Complete QA evaluation of labeled data and peer work
- Write concise, structured reasoning/rationales to support RLHF decisions
- Ensure annotation guidelines compliance and handle edge cases consistently
- Label content for safety/policy adherence and escalate sensitive items when needed
- Run training data quality checks to reduce noise and improve consistency
- Participate in calibration to maintain high inter-annotator agreement
- Must be based in Germany; remote, full-time role
- Fluent in German and English (reading and writing)
- Strong analytical skills and attention to detail
- Ability to follow annotation guidelines with high consistency
- Comfort with web-based annotation tools and spreadsheets
- Reliable internet connection and ability to meet production and QA targets
- Experience with data labeling, QA evaluation, or editorial review
- Familiarity with LLM evaluation concepts (helpfulness, harmlessness, factuality, style)
- Experience writing structured rationales for ranking decisions
- Understanding of RLHF/model training feedback loops
- Self-driven and organized; sound judgment in ambiguous cases
- Pay rate: $35–$40 USD per hour (range may vary by project needs)
- Full-time, remote (Germany-based)
Apply through Rex.zone with an up-to-date resume and a brief summary of your bilingual (English/German) experience. You may be asked to complete a short skills assessment focused on large language model evaluation and training data quality decision-making.