Project Perseus \u007C Data Quality Team Lead (Human-in-the-Loop AI)

Job Description

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.

• 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 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.

• 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.

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.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

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In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.