Job brief: Quality Operations Lead, Gen AI

What JoRoute checked · Checked by JoRoute

• Listed on Scale AI's own job board. JoRoute does not take listings from job ads or recruiters.
• First seen by JoRoute 2026-11-04 (4 days ago); last confirmed on the board 2026-11-08.
• The apply link opens job-boards.greenhouse.io, the address Scale AI's board gives for this job.
• No other listing with this title and place on this board in the last 90 days.
• No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

• Pay: $134,400 to $168,000 a year
• Job type: Not stated
• Where: San Francisco, CA; New York, NY · New York, NY · San Francisco, CA
• Posted: 2026-11-04

What the job asks · Employer's own words, not checked

Level: Lead / staff. The title says "Lead".

Must have

• A Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.
• 3+ years leading teams or scaling large operational/technical processes.
• Master’s degree in Computer Science, Engineering, Operations, or a related field.
• 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;

Conditions

• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Main duties

• Lead and grow a team of quality specialists - hire, coach and calibrate this team of specialists.
• Own the daily operation: plan and allocate workforce capacity, produce quality reporting, measure productivity and efficiency, and drive quality control poli…
• Build the future of QC.
• Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval.

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

• Across Scale AI's 125 open listings, 72% of those with a posting date were first posted more than 60 days ago. How Scale AI hires

What nobody outside the employer knows · Not known

• Whether the role is already filled or on hold: employers often leave listings up.
• How many people applied, and who reads the applications.
• Where in the published range an offer would land.

Ask before you apply

1. Which of the listed places is this role based in?
2. What are the interview steps, and when should I expect to hear back?

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Next steps

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