Data Labeling Jobs
3 open roles mentioning Data Labeling
Operations Program Manager (Computer Vision), Public Sector
Scale AI
Scale's Public Sector team is rapidly expanding, and you will be instrumental in accelerating the development of AI applications for national security customers. As an Operations Program Manager, you will manage multiple projects within the Computer Vision team, collaborating cross-functionally with Delivery and Engineering teams, as well as operations managers and subject matter experts. Your role will involve ownership of the data labeling system's operations, ensuring timely and high-quality data delivery across diverse modalities and clearance levels, all aimed at supporting our Public Sector customer's AI/ML objectives. You will also contribute to developing and communicating operational improvements to the customer.
$116k - $212k
Product Manager, Gen AI
Scale AI
Scale AI is seeking Product Managers to join its GenAI organization, focusing on building the data infrastructure that powers advanced AI. These roles involve shaping systems, tooling, and experiences for a two-sided marketplace connecting AI labs and enterprises with a global network of contributors. You will work on high-impact, technically complex problems at the frontier of AI, owning product areas end-to-end from strategy to execution. The positions require deep cross-functional collaboration with engineering, design, data science, operations, and other stakeholders in a fast-paced, growth-stage environment.
Forward Deployed Product Manager, Enterprise
Scale AI
Scale is seeking a Forward Deployed Product Manager (FDPM) to drive the success of enterprise AI deployments. This role is embedded with customers, focusing on achieving real production outcomes and translating operational realities into actionable product insights. Unlike a traditional roadmap PM or solutions engineer, the FDPM owns product outcomes within a portfolio of enterprise accounts, building trust with senior stakeholders, guiding deployments to production, and identifying product versus execution bottlenecks. The ideal candidate can differentiate between stated customer needs, underlying problems, and optimal platform solutions, having previously shipped products into large organizations.
$206k - $300k