German Data Labeling Associate - NYC based

Refine the Future of Multilingual AI Are you a native German 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 German 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 German 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: New York City Pay Rate: 34 $ (per hour) What We’re Looking For Linguistic Mastery: Native-level German 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. #J-18808-Ljbffr