Remote (Global) | Full-Time Permanent | Machine Learning, Data Annotation & AI Workforce Operations

Every breakthrough AI model depends on people: the annotators, linguists, and domain experts who shape the data behind it. Someone has to find those people, at scale, across continents, without compromising on quality.

That someone could be you. Our client is looking for a talent leader to design the global hiring engine behind some of the most demanding AI data programs in the world. This isn't about filling seats. It's about building the workforce infrastructure that AI innovation runs on.

Why This Prospect Matters

AI companies move fast, and their data needs move faster. One week a program needs multilingual LLM evaluators. The next week it needs LiDAR specialists, medical experts, or mathematicians, sometimes hundreds of them, ready to deliver at strict quality standards.

This role exists to make that possible. As Global Recruitment Lead, you'll own the system that turns client demand into a qualified, certified, ready-to-work talent pool across the US, Europe, LATAM, MENA,



and APAC.

Your work feeds straight into delivery. When pipelines are healthy, programs launch on time, clients scale with confidence, and the business grows. This is a strategic leadership role, not a traditional HR position, and your impact will be visible from day one.

About Our Client

Our client combines human expertise with machine efficiency to deliver high-quality annotated data at scale. They help AI companies get faster, scalable results without sacrificing precision.

Their customers range from ambitious startups and academic institutions to Fortune 500 companies, in industries such as autonomous driving, retail, security, geospatial, and emerging LLM applications. They serve clients on every continent.

Even with that growth, they've held on to what sets them apart: transparency, fair pricing, personalized service, and a real commitment to exceptional results. The culture v

📌 Global Recruitment Lead (India)
🏢 Whitecollars
📍 India