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

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

Weloglobal · Redmond, Washington · On Site · Active · $44–$44 / hour · Lever

Job facts

FieldValue
CompanyWeloglobal
TitleProject Perseus | Data Quality Team Lead (Human-in-the-Loop AI)
Normalized title-
Department / teamWelo Data - AI Services / Data Annotation
LocationRedmond, WA, United States
Work modelOn Site
Employment typeFull Time
Salary$44–$44 / hour
Statusactive
ATS providerLever
Posted / first seen2026-04-21 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Weloglobal.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Redmond.Open
Department jobsActive postings in Welo Data - AI Services.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWeloglobal
Source2de9659a-8a12-48c4-a4ac-ed217a8126d1
ATS providerLever

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. 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. To know more details (Click here) 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. www.welocalize.com 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. 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.

Full job record

Job ID601aacddfa838805f7ef623779a33333b7709b6f
Org IDaaa67d5b-8ec7-460b-a038-61d104e5a3fa
Source ID2de9659a-8a12-48c4-a4ac-ed217a8126d1
Board ID2de9659a-8a12-48c4-a4ac-ed217a8126d1
Providerlever
Provider Job Key2b0d5a8f-0304-40a3-a167-1e6472960f1f
TitleProject Perseus | Data Quality Team Lead (Human-in-the-Loop AI)
Normalized Title
Statusactive
Activeyes
Location TextRedmond, Washington
DepartmentWelo Data - AI Services
TeamData Annotation
Employment TypeFull Time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionWA
CityRedmond
Salary RawUSD 43.5-43.5 per-hour-wage
Salary Min43.5
Salary Max43.5
Salary CurrencyUSD
Salary Periodhour
Source URLhttps://jobs.lever.co/weloglobal/2b0d5a8f-0304-40a3-a167-1e6472960f1f
Apply URLhttps://jobs.lever.co/weloglobal/2b0d5a8f-0304-40a3-a167-1e6472960f1f/apply
First Seen At2026-05-29 06:57:57Z
Last Seen At2026-06-06 19:47:59Z
Last Checked At2026-06-06 19:47:59Z
Last Changed At2026-06-06 07:55:42Z
Inactive At
Source Posted At2026-04-21 14:00:29Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=weloglobal/date=2026-06-06/2026-06-06T19-47-57-590Z-a8314e8556cf13e2132f166d6aa55bcdff4868d19f6a4b0a04468a0297f7ea58.json
Event Fields
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Parsed Structured
{
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  "remote_policy": null,
  "salary_period": "hour",
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Extensions
{}
Native Structured
{
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      "text": "What You’ll Do",
      "content": "\n<li>Lead and support a team of Data Quality Analysts</li>\n<li>Oversee overall operational performance across workflows and teams</li>\n<li>Ensure team activities align with broader business objectives and program goals</li>\n<li>Drive the success of key initiatives across quality, delivery, and team performance</li>\n<li>Own quality across workflows — including audits, calibrations, and feedback loops</li>\n<li>Identify trends, risks, and gaps in model performance and data quality</li>\n<li>Translate ambiguous or evolving guidelines into clear team direction</li>\n<li>Run calibrations and ensure consistency across reviewers</li>\n<li>Partner with stakeholders to align on quality standards and expectations</li>\n<li>Prioritize and support hiring of linguists and specialized talent as needed</li>\n<li>Drive continuous improvement across processes, tooling, and evaluation methods</li>\n<li>Step into edge cases and complex decisions when needed</li>\n<li>Support team growth, coaching, and performance management</li>\n"
    },
    {
      "text": "What We’re Looking For",
      "content": "\n<li>5–8 years of experience in data quality, QA, AI/ML operations, or related fields</li>\n<li>2+ years of experience leading teams in data quality, QA, or AI/ML-related work at scale</li>\n<li><strong>Native-level English proficiency</strong> and a <strong>university degree</strong> (Bachelor’s or higher).</li>\n<li>Proficiency in languages other than English is preferred, with particular interest in candidates demonstrating bilingual mastery in <strong>French, Italian, German, Spanish, or Brazilian Portuguese.</strong></li>\n<li>Strong operational mindset with experience managing performance across multiple workstreams</li>\n<li>Proven ability to drive quality, delivery, and process improvements</li>\n<li>Strong judgment and ability to operate in ambiguity</li>\n<li>Comfortable interacting with stakeholders and representing the team</li>\n<li>Ability to balance quality, speed, and evolving priorities</li>\n<li>Strong communication and organizational skills</li>\n<li>Deep attention to detail, with the ability to zoom out and see patterns</li>\n<li>Interest in AI and how human feedback shapes model behavior&nbsp;</li>\n\n<div>\n<h3><strong>Role Scope &amp; Accountability</strong></h3>\n<p>This leader is accountable for end-to-end operational success — including resource management, process optimization, and continuous improvement.</p>\n<p>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.</p>\n</div>"
    },
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      "text": "Benefits",
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