Quality Lead, Gen AI

Scale AI · San Francisco, CA; New York, NY · Gen AI Operations · listed November 4, 2026

The shape of it

Seniority
Senior
Where
Not stated
Stated pay
$134,400 – $168,000 USD
Requirements listed
6
Length
839 words

In the posting’s own words

As a Quality Control 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.

What it asks for · 6

  • A Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.
  • Experience building systems, processes, and teams across multiple customer segments or product lines.
  • 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.

Also a plus

  • 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.

What the job covers

  • 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.

Degree language

  • A Bachelor’s degree in Computer Science, Engineering, Operations, or a related field.
  • Master’s degree in Computer Science, Engineering, Operations, or a related field.

Tools and skills named

Languages
  • SQL
Models & research
  • Machine learning
Operations & finance
  • Program management
Product & design
  • Product management
Ways of working
  • Cross-functional

Words the posting leans on

  • quality13×
  • operations6×
  • data5×
  • experience5×
  • programs5×
  • customer4×
  • lead4×
  • management4×
  • quality control4×
  • delivery3×
  • leading3×
  • specialists3×
  • agentic2×
  • computer science2×
  • customer requirements2×
  • degree computer2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

The posting, your resume, and the gaps between them. One click loads all three.

More open at Scale AI

every open role at Scale AI →

How this page was made

An automated read of a public job posting, fetched November 4, 2026 and last changed by Scale AI on November 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.