HackerRank
AIDataOperationsManager
Neural analysis suggests this role is
optimal for Manager candidates.
“AI Data Operations Manager at HackerRank. Skills: Data operations, Vendor management, AI/ML, Automation. Own end-to-end data creation pipeline. Own end-to-end data maintenance pipeline”
What You'll Achieve.
Ensure data meets highest quality standards; Make entire operation smarter
Industry & Context.
Eliminate manual bottlenecks
What They're Looking For.
Must Have
3+ years in data operations, 3+ years annotation management, 3+ years vendor management, AI-fluent, Hands-on experience building AI agents, Hands-on experience working with AI agents, Familiar with ML evaluation basics
Nice to Have
Prior experience with NLP training data pipelines, Prior experience with AI training data pipelines, Familiarity with annotation tools, Experience working in a startup environment, Experience working in a high-growth environment
What You'll Do.
Own end-to-end data creation pipeline
Own end-to-end data maintenance pipeline
Coordinate annotation workflows
Ensure data quality standards
Translate technical requirements
Design data creation workflows
Drive automation across pipeline
Eliminate manual bottlenecks
Own full vendor lifecycle
Manage vendor quality
Build vendor relationships
Design agentic workflows
Automate multi-step processes
Automate vendor briefing
Automate annotation verification
Automate batch tracking
Translate model evaluation signals
Create targeted data cycles
Stay ahead of model data needs
Close loop between findings and improvements
Maintain documentation across data batches
Maintain annotation guidelines
How You'll Work.
Team & Collaboration
Cross-functional operations; ML engineers; Internal annotators; External vendors; Machine learning engineers; Product managers
Full Job Description
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role We are looking for an AI Data Operations Manager to own and run our end-to-end data creation and maintenance pipeline, from sourcing and managing vendors to coordinating annotation workflows and ensuring the data our models train on meets the highest quality standards. This is a cross-functional operations role that sits at the intersection of ML, product, and operations management. You will be the connective tissue between our machine learning engineers, internal annotators, and external vendors, translating technical requirements into actionable data creation workflows and ensuring every batch of data that reaches our models is accurate, well-annotated, and fit for purpose. Critically, you will also drive automation across the pipeline, designing and deploying AI agents that eliminate manual bottlenecks and make the entire operation smarter over time. What you will do Own the full vendor lifecycle, from sourcing and onboarding to quality management and relationship building at scale. Design and deploy agentic workflows that automate multi-step processes including vendor briefing, annotation verification, and batch tracking. Translate model evaluation signals (precision gaps, recall failures, edge case bl
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