AI Operations Lead (Human-in-the-Loop) - WA-based

Lead the Teams Shaping the Future of AI – On-Site [WA] Are you a strategic leader who thrives at the intersection of data quality and people operations? Welo Data is seeking a Data Quality Lead to oversee high-impact teams of analysts dedicated to AI model evaluation. This isn’t just a management role—it’s an opportunity to define how quality is measured in a human-in-the-loop environment. You will act as the bridge between technical stakeholders and analyst teams, translating complex AI guidelines into clear, actionable operational excellence. The Mission: Quality Leadership at Scale Team Architecture: Lead and mentor a specialized team of Data Quality Analysts, fostering growth and managing high-performance output. Quality Ownership: Own the end-to-end quality loop, including audits, calibrations, and the identification of model performance trends. Strategic Translation: Turn ambiguous, evolving AI guidelines into structured direction for your teams. Stakeholder Partnership: Act as the primary representative for your team, aligning with global stakeholders on quality standards and program goals. Operational Innovation: Drive continuous improvement across tooling, evaluation methods, and hiring for specialized linguistic talent. Project Details Job Title: AI Operations Lead Employment Type: W2 Full-Time Employee Hours: 40 hrs/week Location: Washington (On-site) — Redmond, Seattle, or Bellevue Pay Rate: 38$/hour Premium Perks & Benefits This role offers more than just a paycheck—it includes a world-class workspace experience: Gourmet Dining: Free breakfast, lunch, and dinner with a wide variety of cuisines. Wellness & Insurance: Comprehensive Medical, Dental, and Vision coverage + 401(k) and HSA. Time Off: 15 days of combined Paid Sick/Holiday time + Memorial Day and Labor Day. Campus Culture: Access to micro-kitchens, premium coffee, and unique features like rooftop nature parks. Commuter Support: Free shuttles, transport benefits, and bike-to-work perks. Who We’re Looking For Education & Language: University degree (Bachelor’s or higher) and Native-level English proficiency are required. The Multilingual Edge: Proficiency in languages other than English is highly preferred, with a particular interest in candidates demonstrating bilingual mastery in French, Italian, German, Spanish, or Brazilian Portuguese. Industry Veteran: 5–8 years of experience in Data Quality, QA, or AI/ML operations. Proven Leader: 2+ years of experience managing teams in a high-scale data or AI environment. Strategic Mindset: Ability to "zoom out" to see patterns while maintaining deep attention to detail. Operational Agility: Comfortable navigating ambiguity and balancing speed with rigorous quality standards. Technical Interest: A genuine curiosity about how human feedback shapes the behavior of Large Language Models (LLMs). #J-18808-Ljbffr