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.