Quality Lead
Scale AI - San Francisco, CA; New York, NY
Posted Mar 2, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $110K-$137K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $61,842 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +1.9% - Slower
99% above the BLS role benchmark for operations aggregate.
Matched to SOC 11-1021 - Operations aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Quality Lead San Francisco, CA; New York, NY 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
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