Scale AI
Quality Operations Lead, Generative AI
Scale AI, San Francisco, California, United States, 94199
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, as well as leading teams through strategic initiatives to enable reliable, scalable delivery across the organization.
You will 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.
Ideally you’d have 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 operations management, product management, 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 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, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. 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.
Base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $134,000 – $204,000 USD.
About Us: Scale is mission‑driven to develop reliable AI systems for the world's most important decisions. We work closely with industry leaders and are expanding our team to accelerate AI applications.
Equal Employment Opportunity: Scale is 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 comply with applicable EEO, ADA, and other laws. Reasonable accommodations are available upon request.
Please note: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role.
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You will 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.
Ideally you’d have 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 operations management, product management, 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 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, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. 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.
Base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $134,000 – $204,000 USD.
About Us: Scale is mission‑driven to develop reliable AI systems for the world's most important decisions. We work closely with industry leaders and are expanding our team to accelerate AI applications.
Equal Employment Opportunity: Scale is 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 comply with applicable EEO, ADA, and other laws. Reasonable accommodations are available upon request.
Please note: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role.
#J-18808-Ljbffr