Country Lead
Perle
Country Lead
Perle
Data labeling and RLHF services provider
About Perle
Perle is an AI infrastructure company building expert-driven training data, evaluation systems, and applied AI products for the world's leading labs and enterprises. With experts across more than forty markets, we specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver.
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We are building the biggest AI and robotics data collection operation in Latin America, and we need one person to own each country. Perle AI pays thousands of people to record first-person video of everyday life and work: at home on their phone, and on shift in restaurants, supermarkets, shops, farms and workshops. The footage trains the next generation of robots. The platform, the pay engine and the customer demand are live. What we do not have yet is you.
The job
You own your country. Not a region of it, not a channel, the whole thing.
First 90 days
By day 90 | What done looks like |
|---|---|
Active contributors | 500 people recording at home every month in your country, growing every week |
Live business sites | 10 businesses with workers recording on shift, with a pipeline behind them |
Field team | 5 ambassadors hired, trained and producing |
Operating rhythm | Weekly onboarding sessions running without you in the room |
Requirements
What you get
How we hire: fast. We interview in person, decide in days, and expect you to start within two weeks. If you need a long notice period, this is not the role.
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Kiva AI provides data labeling, annotation, and Reinforcement Learning from Human Feedback (RLHF) services for AI models. It uses a global pool of experts from over 70 countries to deliver high-quality, scalable labeling across diverse use cases. The process involves sourcing, screening, training, tooling, and incentivizing labelers to ensure accurate, reliable data. By offering scalable data solutions, Kiva AI helps businesses improve AI model performance and achieve a competitive advantage through better quality data. The company's goal is to be a trusted partner that delivers precise, timely data work at scale to support large AI projects.
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