operations
Posted 1 weeks agoAI Data Operations Manager
at HackerRank
IndiaHybrid
Responsibilities
- 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.
- Maintain clear, living documentation across data batches, annotation guidelines, and vendor SOPs. Who you are
Requirements
- Software has entered an era where humans and AI build side by side.
- 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
- 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
- Partner with MLEs and PMs to stay ahead of model data needs, and close the loop between evaluation findings and pipeline improvements.
- AI-fluent: you use AI tools naturally, think in terms of what can be automated, and can hold credible conversations with both technical and non-technical stakeholders about model behavior, prompt design, and agent architecture. Hands-on
- experience building or working with AI agents. Organized and detail-oriented, comfortable managing multiple vendors, deadlines, and pipelines simultaneously.
- Familiar with ML evaluation basics (precision, recall, edge cases) and can engage meaningfully with engineers on data quality. Even better if you have Prior
- experience working with NLP or AI training data pipelines.
- Familiarity with annotation tools (e.g. CVAT, Label Studio, Scale AI, Surge AI, or similar). •
- Experience working in a startup or high-growth environment where processes are still being built. You will thrive in this role if you