Quality Control Associate, Robotics

As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage workstreams in the field of Quality Control by building and running solutions, tools, and processes, and while working with a cross-functional team including Customer Operations, Product, Engineering, and many others.

This role sits at the core of our Quality Control (QC) function. You will build and scale quality systems from the ground up, including documentation, audit frameworks, rejection rubrics, performance tracking, and feedback loops.

You will solve ambiguous quality challenges in a fast-moving robotics environment, identifying root causes, reducing error rates, and driving operational excellence. Over time, you will take increasing ownership of quality strategy, efficiency optimization, and customer-facing quality initiatives.

The ideal candidate is analytical, structured, detail-oriented, and highly ownership-driven. You care deeply about building scalable systems that prevent errors before they happen and create clarity for both internal teams and contributors.

You will:

• Build and scale core Quality Control (QC) processes and frameworks

• Design and maintain clear quality guidelines, rejection rubrics, and project rules

• Track and improve quality performance (audits, rejection rates, false negatives, common errors)

• Own day-to-day quality delivery against customer standards

• Identify root causes of quality misses and implement corrective actions

• Build structured feedback loops for reviewers

• Develop and maintain quality performance trackers and reporting

• Partner cross-functionally to resolve quality bottlenecks

• Optimize QC efficiency (touches per task, AHT, cost per hour, team balance)

• Support QC team planning and resource allocation

Ideally, you'd have:

• Excellent communication skills in English and Spanish

• +2 years of experience in operations, quality control, or process improvement roles

• Strong analytical skills and comfort working with performance metrics

• Experience building structured documentation and operational frameworks

• Ability to balance quality standards with operational efficiency

• Experience working in data-heavy or performance-driven environments

• Familiarity with SQL or strong analytical capabilities

• Empathy for contributors performing physical data collection tasks

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.

About Us:

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.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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