Refine the Future of Multilingual AI
Are you a native French speaker with a professional background in writing and a keen eye for AI safety? Welo Data is looking for Data Labeling Associates for Project Perseus.
This is not a traditional annotation role. You will be working at the intersection of human judgment and machine learning, evaluating how cutting-edge AI systems handle Arabic language nuances, cultural context, and safety boundaries.
The Mission: Human-in-the-Loop Excellence
- Model Evaluation: Critique Arabic AI outputs for accuracy, fluency, and tone, providing structured feedback to drive model improvement.
- Safety Engineering: Use your 2+ years of GenAI safety experience to identify bias, risks, and failure modes in Arabic datasets.
- Guideline Evolution: Apply complex linguistic guidelines thoughtfully and help refine evaluation frameworks to reflect real-world Arabic dialects and contexts.
- Strategic Insights: Identify trends in model performance and communicate findings clearly to technical stakeholders.
- Collaborative Calibration: Participate in team syncs to ensure consistent quality across global AI workstreams.
Project Details
- Employment Type: W2 Full-Time Employee
- Hours: 40 hours/week
- Location: Washington State On-Site (Redmond, Seattle, or Bellevue)
- Pay Rate: 34 $ (per hour)
What We’re Looking For
- Linguistic Mastery: Native-level French proficiency and a University Degree (Bachelor’s or higher).
- English Proficiency: B2 level or superior English skills to navigate technical guidelines and stakeholder syncs.
- Professional Writing: 1–2 years of experience in professional writing, journalism, or content creation.
- AI Safety Expertise: 2+ years of experience focusing on Safety & Trust in Generative AI data delivery.
- Critical Thinking: The ability to make sound judgment calls in ambiguous "grey area" scenarios.
- Technical Agility: A natural curiosity about LLMs and the confidence to flag issues when a model's behavior feels "off."
Premium Campus Benefits
Joining Project Perseus on-site gives you access to a world-class work environment:
- Gourmet Dining: Free breakfast, lunch, and dinner with a wide variety of cuisines.
- Snack Suites: Micro-kitchens stocked with premium coffee, beverages, and healthy treats.
- Campus Features: Modern collaborative spaces and unique amenities like rooftop nature parks (at select locations).
- Full Security: Comprehensive Medical, Dental, and Vision + 401(k) and HSA eligibility.
- Commuter Support: Free transport, shuttles, and bike-to-work perks.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.