Project Perseus | Data Quality Team Lead (Human-in-the-Loop AI)

Job description

**Overview** Welo Data is looking for a Data Quality Lead to oversee teams of Data Quality Analysts supporting AI model evaluation and improvement. This role is equal parts **people leadership, quality ownership, and operational thinking**. You’ll be responsible for guiding teams through fast-changing work, ensuring high-quality output, and acting as a bridge between analysts and stakeholders. This is not just about managing throughput — it’s about shaping how quality is defined, measured, and improved in a human-in-the-loop environment. **Project Details** - **Job Title:** Data Quality Lead - **Hiring in:** NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston - **Hours:** Full-time, 40 hours per week - **Employment Type:** W2 Full-Time Employee - **Pay rate:**$43.50/ hour - **Contract Duration:** 1-year contract with possibility of extension **Important**: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement. ### What You’ll Do - Lead and support a team of Data Quality Analysts - Oversee overall operational performance across workflows and teams - Ensure team activities align with broader business objectives and program goals - Drive the success of key initiatives across quality, delivery, and team performance - Own quality across workflows — including audits, calibrations, and feedback loops - Identify trends, risks, and gaps in model performance and data quality - Translate ambiguous or evolving guidelines into clear team direction - Run calibrations and ensure consistency across reviewers - Partner with stakeholders to align on quality standards and expectations - Prioritize and support hiring of linguists and specialized talent as needed - Drive continuous improvement across processes, tooling, and evaluation methods - Step into edge cases and complex decisions when needed - Support team growth, coaching, and performance management ### What We’re Looking For - 5–8 years of experience in data quality, QA, AI/ML operations, or related fields - 2+ years of experience leading teams in data quality, QA, or AI/ML-related work at scale - **Native-level English proficiency** and a **university degree** (Bachelor’s or higher). - Proficiency in languages other than English is preferred, with particular interest in candidates demonstrating bilingual mastery in **French, Italian, German, Spanish, or Brazilian Portuguese.** - Strong operational mindset with experience managing performance across multiple workstreams - Proven ability to drive quality, delivery, and process improvements - Strong judgment and ability to operate in ambiguity - Comfortable interacting with stakeholders and representing the team - Ability to balance quality, speed, and evolving priorities - Strong communication and organizational skills - Deep attention to detail, with the ability to zoom out and see patterns - Interest in AI and how human feedback shapes model behavior ### **Role Scope & Accountability** This leader is accountable for end-to-end operational success — including resource management, process optimization, and continuous improvement. You’ll be expected to think beyond day-to-day execution and focus on long-term outcomes, ensuring the team consistently meets targets across quality, delivery, and overall program performance. ### Benefits - Paid Vacation: 6 days - Paid Company Holidays: 2 days (Memorial Day and Labor Day) - Paid Sick Leave: accrued per applicable state law and company policy - Medical, Dental, and Vision Insurance (eligibility applies) - Health Savings Account (HSA) - 401(k) Retirement Plan - Employee Assistance Program - Additional voluntary benefits (life, accident, critical illness, etc.) - Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. - Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. - Unique Campus Features: Some locations include roof-top nature parks - Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.