Quality Lead, Generative AI

Scale AI, Inc.; New York (NY); On-site; USD 128,000 - 160,000; Full time

Job summary

A leading AI company is seeking a Quality Control Lead in New York to ensure data quality across Generative AI programs. You will manage teams, improve customer requirements, and drive initiatives for quality enhancement. Ideal candidates will have a Bachelor’s degree, strong leadership skills, and 4+ years of management experience. Competitive salary range is $128,000 — $160,000, plus benefits.

Benefits

Health, dental, and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Potential equity compensation

Qualifications

• 4+ years leading teams or scaling large operational/technical processes.
• Experience building systems, processes, and teams across multiple customer segments.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Lead and develop a large team of quality control specialists.
• Partner with delivery teams to improve customer requirements.
• Drive initiatives improving quality, efficiency, and customer satisfaction.

Skills

Analytical skills (SQL)

Leadership

Problem-solving

Education

Bachelor's degree in Computer Science, Engineering, Operations, or related field

Job description

Overview

Scale is looking for a Quality Control Lead to ensure industry-leading data quality across our Generative AI programs. In this role, you will be the authority on the usefulness of the data we send to our customers. You will hold delivery teams accountable across our highest-impact projects, engaging in nuanced quality issues head-on and leading teams through strategic initiatives to enable reliable, scalable delivery across the organization.

Responsibilities

• Lead and develop a large team of quality control specialists.
• 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.
• Act as the ultimate bar-raiser for data quality, ensuring customers know Scale delivers the most trusted data in AI.

Qualifications

• A Bachelor\'s degree in Computer Science, Engineering, Operations, or a related field.
• 4+ years leading teams or scaling large operational/technical processes.
• Strong analytical and problem-solving skills (particularly in SQL) with attention to detail.
• Experience building systems, processes, and teams across multiple customer segments or product lines.
• A hands-on background in quality assurance, 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.
• Experience in AI/ML services.
• Experience in a fast-growing, less-structured startup environment.
• Experience building teams from the ground up.

Compensation and Location

Salary range for the full-time position in San Francisco, New York, and Seattle is $128,000 — $160,000 USD. This range reflects the minimum and maximum target for new hire salaries, determined by location and other factors. Eligible employees may also receive equity-based compensation, subject to board approval. Your recruiter can share the specific salary range for your location during the hiring process and confirm eligibility for equity.

Benefits

Compensation packages include base salary, equity, and benefits. Benefits typically include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits such as a commuter stipend may apply.

Location and Policy notices

Please reference the job posting subtitle for the location. We follow equal employment opportunity policies and are committed to an inclusive workplace regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We provide reasonable accommodations to applicants with disabilities. For assistance, please contact accommodations at scale.com. We comply with pay transparency provisions and collect and use personal data in accordance with our privacy policy.