Scale AI
Full TimeYou'll identify and recruit new partner businesses for data collection operations, then manage day-to-day coordination with existing partners including onboarding, performance tracking, and on-site support. The role requires two or more years in physical operations, logistics, business development, or account management, plus fluency in Spanish and English. Key skills are partner relationship management, operational coordination, and process improvement capability. You'll work on-site and visit partner locations regularly, supporting hardware deployment and troubleshooting.
Written from this posting by Neural Jobs AI. The full description is below.
At Scale, we are developing the data infrastructure that powers reliable AI systems in the physical world. The Industrial Partnerships team is a critical function for scaling high-quality data collection through a global network of external partners, expanding our capacity and geographic reach. Joining this team offers a unique opportunity to build complex operations and lead cross-functional coordination to launch new partners and transform that network into a world-class operational engine.
These roles are responsible for identifying and signing new partner businesses, and coordinating day-to-day operations with existing partners, including performance tracking and ongoing support.
You will:
Ideally you'd have:
Nice to haves:
This role involves both on-site presence for coordinating operations as well as visiting partner sites on a daily basis.
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, Ernst & Young, 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 accommodations@scale.com. 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.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Scale AI provides the data infrastructure behind modern AI: high-quality training data, human and model-based evaluation, and tooling for deploying and testing frontier models.
Founded in 2016, Scale works with AI labs, enterprises and government to turn raw data into the labelled, evaluated datasets that machine learning systems are built on.
Mexico
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