French AI Data Linguist & Red-Team Analyst

This fully remote role combines two of Corpshore AI's core service lines for the French-speaking market: standard text/multimodal annotation and AI red-teaming, where you'll probe AI models for safety and policy failures in French. You'll work under versioned taxonomies and safety rubrics in Jwuma, contributing to both training-data quality and model-evaluation programs.

Key responsibilities

• Annotate French-language text, image, or multimodal data to project-specific taxonomy
• Probe AI models with adversarial prompts to surface safety, bias, or policy failures in French
• Document discovered failure modes clearly enough for model-training teams to act on
• Peer-review teammates' annotation and red-teaming batches ahead of QA handoff
• Maintain accuracy and reporting quality against gold-standard benchmarks

What we look for

• Native or near-native French with strong professional English
• Strong critical thinking and creative-but-structured approach to adversarial testing
• Comfort engaging with sensitive or edge-case content within clear safety guidelines
• Reliable internet and a self-managed remote work setup in France or the EU/EEA
• Comfortable learning new tools and rubrics (full paid training provided)

Nice to have

• Prior content-moderation, trust & safety, or QA experience
• Background in linguistics, journalism, or research
• Familiarity with generative AI/chatbot tools as a user

Compensation and benefits

• Competitive hourly contract pay, paid via Jwuma timesheets
• Fully remote across France/EU with flexible scheduling
• Paid onboarding on annotation taxonomy and red-teaming safety protocols
• GDPR-aligned data handling on every project

Common questions