Quality Lead

Scale
San Francisco, CA; New York, NYPosted 2 March 2026

Job Description

<p>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.</p> <p> </p> <p><strong>You will:</strong></p> <ul> <li>Lead and develop teams of quality control auditors.</li> <li>Partner with delivery teams to interpret and improve customer requirements.</li> <li>Oversee day-to-day operations, including workload allocation and reporting insights.</li> <li>Establish and uphold scalable best practices.</li> <li>Drive initiatives that improve quality, efficiency, and customer satisfaction.</li> </ul> <p><strong>Ideally you'd have:</strong></p> <ul> <li>A Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.</li> <li>2+ years improving operational/technical processes.</li> <li>Strong analytical and problem-solving skills (particularly in SQL and Google Sheets / Excel) with attention to detail.</li> <li>Experience building systems and processes</li> <li>A hands-on background in product management, software development, or top-tier management consulting.</li> <li>Proven experience taking initiative in cross-functional technical environments.</li> </ul> <p><strong>Nice to haves:</strong></p> <ul> <li>Master’s degree in Computer Science, Engineering, Operations, or a related field.</li> <li>A hands-on background in quality assurance</li> <li>Experience in AI/ML services.</li> <li>Experience in a fast-growing, less-structured startup environment.</li> <li>Experience building teams from the ground up.</li> </ul> <p> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>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. 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.</em></p></div><div class="title">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:</div><div class="pay-range"><span>$104,000</span><span class="divider"></span><span>$130,000 USD</span></div></div></div><div class="content-conclusion"><p><strong><em>PLEASE NOTE: </em></strong><em>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.</em></p> <p><strong>About Us:</strong></p> <p><em>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, Cisco, DLA Piper, 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.</em></p> <p><e ... (truncated, view full listing at source)
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