German AI Data & RLHF Linguist
Corpshore AI's German AI Data & RLHF Linguist role is a fully remote, contract position for native German speakers, combining text annotation and RLHF preference labeling for German-language AI model training under GDPR-aligned standards.
As agentic AI platforms expand into dozens of new language markets, native German-language data is a defined gap for global foundation-model teams. In this fully remote role, you'll split your time between text/multimodal annotation and RLHF preference labeling for German-language AI programs, working to versioned taxonomies and rubrics in Jwuma.
Key responsibilities
- Annotate German-language text, image, or multimodal data to project-specific taxonomy
- Compare and rank German-language model outputs against a rubric to produce RLHF preference data
- Write concise rationale notes for RLHF judgments and flag edge cases for QA leads
- Peer-review teammates' annotation batches ahead of QA handoff
- Maintain 97%+ accuracy against gold-standard benchmark sets
What we look for
- Native or near-native German with strong professional English
- Strong, consistent judgment for both structured annotation and RLHF preference comparisons
- Reliable internet and a self-managed remote work setup
- Eligible to work remotely in Germany or another EU/EEA country
- Comfortable learning new tools and taxonomies (full paid training provided)
Nice to have
- Background in linguistics, translation, journalism, or research
- Prior annotation, content-moderation, or QA experience
- Familiarity with generative AI/chatbot tools as a user
Compensation and benefits
- Competitive hourly contract pay, paid via Jwuma timesheets
- Fully remote across Germany/EU with flexible scheduling
- Paid onboarding on taxonomy, rubric, and platform tools
- GDPR-aligned data handling on every project
Common questions
Does this role focus on annotation or RLHF?
Both — the role blends German-language text/multimodal annotation with RLHF preference-data labeling, depending on active project needs.
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