Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500. Backed by Accel, Index and Y Combinator.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this 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.
- 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...
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