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Rlhf / Annotation · Remote

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.

Germany (remote-eligible)Remote · ContractGerman, English€16–€28/hr (indicative)CET
Role overview

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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