Data Collection Contributor
Pubblicato il 22-08-2026 - Altro in Roma
About HumanSignal Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
(ITALY BASED) AI Data Collector — Turn the World Into Your Workplace Do you love scavenger hunts?
Enjoy exploring the world around you?
Want to get paid competitively while doing something fun, flexible, and impactful?
We’re looking for curious, detail-oriented individuals to join us as AI Data Collectors. In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same.
What You’ll Do As an AI Data Collector, you will:
Capture assigned images in real-world environments , following specific project guidelines.
Photograph objects, scenes, or activities across a wide range of settings, backgrounds, lighting conditions, and angles .
Travel locally to collect data in homes, offices, stores, parks, streets, or other everyday locations .
Follow detailed instructions to ensure image quality, variation, and accuracy.
Document your process when needed and upload collected data through provided tools.
Work independent