Quality Operations Lead, Gen AI

About the role

The quality of data underpins Generative AI programs. At Scale, Quality Control is responsible for ensuring data we deliver to the world's leading AI customers is state of the art.

As a Quality Operations Lead, you'll own that call for some of our highest-impact Generative AI programs. You'll lead a large team of quality control specialists to measure and improve quality across these programs, from multilingual post-training data to agentic RL environments. You will work on frontier-level problems - the programs you work on train the models people are talking about.

You will hold delivery teams accountable across our highest-impact projects - helping solve nuanced quality issues, as well as leading strategic initiatives to enable reliable, scalable operations across the organization.

What you'll do

• Lead and grow a team of quality specialists - hire, coach and calibrate this team of specialists.
• Turn unclear customer requirements into clear standards - work with delivery teams to interpret and improve customer requirements, and then turn that into measurable signals of data quality.
• Run the quality system. Own the daily operation: plan and allocate workforce capacity, produce quality reporting, measure productivity and efficiency, and drive quality control policies.
• Analyzing quality trends. Identify, root-cause, and elevate defect patterns that delivery teams can take action on.
• Build the future of QC. Our team already leverages agentic capabilities, but you will help decide and lead what gets built next to continue to scale and optimize our quality operations.

Ideally you'd have

• A Bachelor's degree in Computer Science, Engineering, Operations, or a related field.
• 3+ 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 product management, operations management, program 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, data annotation or model evaluation.
• Experience in a fast-growing, less-structured startup environment.
• Experience building teams from the ground up.

Pay and benefits

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:

$134,400 - $168,000 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.

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