People for AI

Professional data labeling service that employs real annotators to tag objects in images for AI training projects.

€5.50Starting price

992Monthly visits

About People for AI

People for AI provides high-quality data labeling services for AI projects by employing real people to identify and label objects within images. The company emphasizes reliable and efficient annotation with strong communication and adaptability to project requirements. It supports various AI initiatives by delivering accurately labeled assets that improve model training outcomes. The service is designed to handle diverse labeling needs, from simple object recognition to complex image analysis tasks. Project managers, AI companies, and data enthusiasts use People for AI to ensure their datasets are clean, well-annotated, and ready for machine learning applications. The team focuses on delivering precision and flexibility while maintaining clear communication throughout the labeling process.

Key features

Real-person image annotation and labeling
High-quality labeled assets for AI training
Seamless communication and project instructions
Flexibility to adapt to project-specific needs
Cleaning and organizing image datasets
Object recognition and pattern identification
Support for various AI project types
Professional annotators with training

Use cases

Labeling images for computer vision models
Cleaning and annotating datasets for AI training
Object recognition and classification in images

Pros

Uses in-house labelers on permanent contracts for consistent quality and security
Handles complex annotation projects across industries like autonomous vehicles, microscopy, and NLP
Provides expert project managers and tailored annotation strategies for high-precision tasks
Maintains transparent communication with regular metrics and progress updates
Supports diverse data types including images, text, and satellite data with scalable solutions

Cons

Permanent in-house workforce may limit flexibility for very small or ad-hoc projects
Higher costs associated with expert labelers and project management compared to crowdsourced alternatives
Minimum project size requirement (50–100 hours) may exclude small proof-of-concept tasks

Frequently asked questions about People for AI

What types of data labeling projects can People for AI handle?

People for AI supports a wide range of projects, including computer vision tasks such as object detection, segmentation, and classification, as well as NLP annotation, OCR, content moderation, and specialized fields like microscopy, autonomous vehicles, infrastructure inspection, and dermatology.

Does People for AI work with external crowdsourcing platforms?

No, People for AI exclusively employs in-house labelers under long-term contracts to ensure consistent quality, security, and better project management, avoiding crowdsourcing models.

Can People for AI adapt to our existing data labeling tools?

Yes, People for AI can integrate with any labeling tool, whether open-source, proprietary, or in-house, and can adapt their workflow to match the client's preferred platform.

What is the minimum project size for People for AI?

Smaller projects, such as proofs of concept, typically require a minimum of 50 to 100 hours of annotation, though the company can adapt to specific client needs and project specifications.

How does People for AI ensure the quality of labeled data?

Quality is prioritized through rigorous process selection, expert labelers, regular communication, and progress tracking with metrics, ensuring high standards and transparency throughout the project.

Does People for AI provide project management support for complex labeling tasks?

Yes, People for AI assigns high-level project managers and leverages expert labelers to handle complex projects, including defining annotation strategies and ensuring deadlines are met without compromising quality.