Data Quality Team Lead
Listed on 2026-07-06
-
IT/Tech
Data Analyst -
Quality Assurance - QA/QC
Data Analyst
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.
- 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:
New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
- 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
- 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 work streams
- 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
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.
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