Data Quality Team Lead (Human-in-the-Loop AI) - WA based
Welo Global, Seattle, WA, United States
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 locations:
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.
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 Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
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.
Why This Role
You’ll be at the center of how AI systems are evaluated in the real world — helping define quality, guide teams, and influence how models improve over time.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
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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 locations:
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.
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 Sick Time & Paid Holiday (combined): 15 days
Paid Holidays: Memorial Day and Labor Day
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.
Why This Role
You’ll be at the center of how AI systems are evaluated in the real world — helping define quality, guide teams, and influence how models improve over time.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
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