https://peoplefor.ai/

Data Labeling Experts - People for AI is a data labeling service that helps you obtain high-quality labeled training data for AI projects. The company focuses on handling both complex image and text labeling tasks at scale, using in-house labelers to ensure security, quality, and long-term collaboration.

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What they do

• Provide end-to-end data labeling services for large and complex projects, including thousands of annotation tasks per week.
• Define data annotation strategies with expert guidance for complex projects.
• Offer in-house labeling (no crowdsourcing) to ensure security and consistency.
• Deliver ongoing project management with a dedicated team and process tailored to the client.

Industries and use cases

• Microscopy (mineral and biological labeling)
• Autonomous vehicles (classification, segmentation, traffic signs, etc.)
• Infrastructure (railroads, energy networks) defect identification
• Food & retail (identification and precise segmentation of products)
• OCR and document processing, content moderation, maritime, satellite/aerial imagery, agriculture, dermatology, and more

Why choose People for AI

• In-house labelers with long-term contracts to ensure stability and quality
• No black-box approach: transparent communication with metrics and progression updates
• Flexible to adapt labeling strategy to client needs and project complexity
• Strong CSR and social impact, including sustainable hiring practices

Quality, privacy, and GDPR

• Quality commitments: fixed KPIs; if quality is not met, re-annotation is offered (up to 2 iterations) at no extra cost
• Agile, iterative labeling process to maintain high data quality
• GDPR-compliant: privacy-focused, with high confidentiality for client data

Team and scale

• A France-based team with 6 employees and a Madagascar-based team of around 80, enabling scalable staffing
• Dedicated project managers for each client

How to start a project

1. Contact via the website to discuss your needs.
2. A project manager is assigned and an annotation team is put together according to requirements.
3. Tooling, annotation instructions, and initial workflow are defined before kickoff.

Pricing (highlights)

• Prices and staffing depend on project complexity and annotation type.
• For production projects with more than 500 hours, typical ranges are €6–€9 per annotation hour (including annotation, review, and customer care).
• Tooling setup and team formation may incur a one-time cost (approximately €200–€300, depending on complexity).
• Lower prices may apply for simpler projects with large asset counts.

FAQ highlights

• Minimum project size typically starts with POCs or smaller engagements; exact hours depend on client needs.
• Quality is backed by a guarantee of re-annotation if necessary, with up to two iterations.
• GDPR-compliance is maintained; privacy and confidentiality are prioritized.

How to contact

• Reach out via the contact page on their site to initiate a project and receive a tailored proposal.

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How it works

• They label a variety of data types (images, text, etc.) using in-house experts.
• They provide strategic guidance to define the right labeling approach for complex data.
• They ensure security and high data quality through managed processes and transparent communication.

Core Features

• In-house labelers with long-term contracts for stability and quality
• No crowdsourcing; strict data security and controlled processes
• Handles complex image and text labeling at scale (thousands of tasks per week)
• Dedicated project managers and tailored annotation strategies
• Agile, iterative quality assurance with KPI-driven targets
• GDPR-compliant privacy and data protection
• Transparent metrics and regular progression updates