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HomeCompaniesScale AIQuality Lead

Quality Lead

Scale AI · San Francisco, CA; New York, NY · Active · $109,600–$137,000 / day · Greenhouse

Job facts

FieldValue
CompanyScale AI
TitleQuality Lead
Normalized title-
Department / teamGen AI Operations
LocationSan Francisco, CA, United States
Work model-
Employment type-
Salary$109,600–$137,000 / day
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Scale AI.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Gen AI Operations.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

CompanyScale AI
Source478b1bfa-4300-406a-af8f-46743fd1575c
ATS providerGreenhouse

Description

Scale is looking for a Quality Lead to ensure top-tier data quality across our Generative AI programs. In this role, you will partner directly with Scale’s Delivery teams to ensure that the Quality Team’s core operation runs smoothly and that only high-quality data is delivered to our customers. You will: Lead and develop teams of quality control auditors. Partner with delivery teams to interpret and improve customer requirements. Oversee day-to-day operations, including workload allocation and reporting insights. Establish and uphold scalable best practices. Drive initiatives that improve quality, efficiency, and customer satisfaction. Ideally you'd have: A Bachelor’s degree in Computer Science, Engineering, Operations, or a related field. 2+ years improving operational/technical processes. Strong analytical and problem-solving skills (particularly in SQL and Google Sheets / Excel) with attention to detail. Experience building systems and processes A hands-on background in product management, software development, or top-tier management consulting. Proven experience taking initiative in cross-functional technical environments. Nice to haves: Master’s degree in Computer Science, Engineering, Operations, or a related field. A hands-on background in quality assurance Experience in AI/ML services. Experience in a fast-growing, less-structured startup environment. Experience building teams from the ground up. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $109,600 — $137,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full job record

Job ID41f297d145c19453ae0d8a4a95a73bdd8cc89413
Org IDdb386fb1-bffb-4a23-880d-c7083d7a6694
Source ID478b1bfa-4300-406a-af8f-46743fd1575c
Board ID478b1bfa-4300-406a-af8f-46743fd1575c
Providergreenhouse
Provider Job Key4667108005
TitleQuality Lead
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA; New York, NY
DepartmentGen AI Operations
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawsalary range for this full-time position in the locations of San Francisco, New York, Seattle is: $109,600 — $137,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period b
Salary Min109,600
Salary Max137,000
Salary CurrencyUSD
Salary Periodday
Source URLhttps://job-boards.greenhouse.io/scaleai/jobs/4667108005
Apply URLhttps://job-boards.greenhouse.io/scaleai/jobs/4667108005
First Seen At2026-05-29 22:40:44Z
Last Seen At2026-06-06 20:10:24Z
Last Checked At2026-06-06 20:10:24Z
Last Changed At2026-05-29 22:40:44Z
Inactive At
Source Posted At2026-03-02 18:29:23Z
Source Updated At2026-05-26 23:29:01Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=scaleai/date=2026-06-06/2026-06-06T20-10-23-787Z-6d82c7039f531644c5f888459c80edca53c38f0590093c71c74965c13481d850.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
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    "confidence": 0.9
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  "salary_max": 137000,
  "salary_min": 109600,
  "inferred_at": "2026-06-06T20:10:24.273Z",
  "launch_scope": {
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    "language": "en",
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      "region": "CA",
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  },
  "remote_policy": null,
  "salary_period": "day",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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      "location": "San Francisco, California, United States",
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      "name": "External Department",
      "value": "Operations",
      "value_type": "single_select"
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  ],
  "updated_at": "2026-05-26T19:29:01-04:00",
  "departments": [
    {
      "id": 4003439005,
      "name": "Gen AI Operations",
      "child_ids": [],
      "parent_id": 4138009005
    }
  ],
  "company_name": "Scale AI",
  "requisition_id": 4422057005,
  "first_published": "2026-03-02T13:29:23-05:00",
  "application_deadline": null
}
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