Hire AI annotators
Quickly mobilize a team of experts dedicated to your AI projects. Our qualified Data Labelers and AI Trainers transform your raw data into high-quality datasets, tailored to your goals.
🧠 Customized annotation
Boost your models with rigorously and intelligently annotated data. From object detection to fine segmentation, we adapt our workflows to your specific needs, your image formats, ... and your tools.
🎯 Technical & ethical expertise
Our Data Labelers and AI Trainers combine precision, experience and knowledge of cutting-edge tools. Trained in your use cases, they guarantee reliable datasets, annotated in a responsible, sustainable and secure framework.
🌍 Solutions by business sector
Health, finance, retail, transport, ... We mobilize human, linguistic and technological expertise to provide relevant, contextualized data ready to train your business AIs.
We select the best profiles ⭐
🎯 Targeting the best talent: why is it important?
Annotation errors, even small ones, can have significant consequences for the effectiveness of AI models. This is why our Data Labelers are selected and trained with the greatest care, for their attention to detail, their ability to follow strict instructions, and their constant commitment to providing quality work.
We strongly believe in inclusiveness and offer a chance to varied profiles, without discrimination of origin, age or background. But regardless of their profile, we are uncompromising on professionalism, seriousness, and personal motivation. Because building reliable data for AI is above all a matter of rigor and responsibility.
👤 Typical profile of an annotator at Innovatiana
An annotator (or Data Labeler) is a collaborator who is rigorous, motivated, able to follow precise instructions and attentive to the smallest details.
Profiles from all walks of life — whether they come from science, literature, law or computer science — all share a same sense of detail, a ability to follow strict instructions, and a genuine professional rigor.
Accustomed to working according to the most demanding quality standards, especially in highly regulated sectors such health, finance or legal, where precision, confidentiality and traceability are essential.
Discover the key steps of our recruitment process
We assess the understanding of annotation tools, whether they are open source solutions like Label Studio or Prodigy, or of specific proprietary platforms, in order to guarantee a quick and effective handling.
We give priority to selecting candidates who have already contributed to similar projects., especially in Computer Vision or in natural language processing (NLP) to ensure a rapid increase in competence and constant quality.
We not only evaluate technical and analytical skills, but especially the thoroughness, the trustworthiness, and the ability to respect strict instructions — essential qualities to ensure high quality annotations.
Training and expertise
Once recruited, our annotators benefit from support and a continuing training program to guarantee cutting-edge expertise and rapid adaptation to the requirements of different sectors.
In-house training program
Presentation of market-leading tools such as Label Studio, CVAT, Prodigy, or proprietary solutions, with a guided approach to understand their functionalities, use cases, and best practices for use in real projects.
Awareness of bias in annotation and methods to correct them. To recognize cognitive, cultural, or linguistic biases that can skew data, and to apply concrete methods to limit them, such as the use of neutral instructions, cross-reading, or double-blind annotation.
Certifications and specializations
Our annotators pass a practical assessment leading to an internal certification validating their mastery of tools such as Labelbox, Amazon SageMaker, or other specific platforms.
Our annotators can specialize in complex fields, depending on the needs of the projects, in particular in medical imaging annotation (radiology, histology, etc.), in complex text processing (legal, technical, multilingual), or in the enrichment of multimodal data sets combining text, image, audio and video.
Complex projects, controlled results
Examples of projects we’ve conducted include the segmentation of brain structures on 3D MRI scans to train AI models that support operative planning — carried out in collaboration with medical specialists and in full compliance with clinical protocols.
We also conduct complex projects such as the cross-analysis of facial expressions, voice tone, and text to detect customer dissatisfaction in videos — requiring precise synchronization of audio, visual, and textual data.
Ethical compliance and standards
In a world where personal and sensitive data are omnipresent, Innovatiana makes it a point of honor to respect ethical and legal standards in the field of artificial intelligence.
Compliance with regulations
Compliance with regulations (GDPR, EU AI Act, etc.), ensuring that our customers' data is secure and treated with care.
Use of secure environments for the annotation of confidential data.
Commitment to diversity and inclusiveness
Promoting diversity in our teams to offer diverse perspectives and reduce data and metadata bias.
Compulsory ethical training for all our annotators, including the recognition and correction of potential biases.
Guarantees for our customers
Extensive documentation on security and compliance measures adopted where applicable.
Quality review to ensure that standards are met at each stage.
By choosing Innovatiana, you're working with a team of highly qualified Data Labelers and AI Trainers, trained, and able to respond quickly to your needs. Thanks to our strict criteria and our commitment to ethical standards, we help you maximize the potential of your AI models while ensuring total peace of mind as to the origin of your data.
Use cases
Our expertise covers a wide range of AI use cases, regardless of the domain or the complexity of the data. Here are a few examples:
Integration into our customers' environments
We understand that every business has its own specific tools and processes. Innovatiana adapts to guarantee a smooth integration into your technological ecosystem.
🤝 Collaboration options
On your platforms: We work directly on your existing annotation tools, ensuring total continuity with your workflows.
On our solutions: If you don't have an annotation platform, we can provide proven and customized tools to meet your specific needs (we work with all vendors!).
🔄 Synchronization with your teams
Close collaboration between our Data Labelers and your teams to ensure perfect consistency.
A dedicated communication channel on Slack or Discord, and the possibility of organizing regular meetings to adjust priorities or solve possible obstacles.
✅ Trust and transparency
We use secure environments to ensure that your data is protected.
Each project is conducted with transparency, open communication and continuous information sharing.
Ready to build your team
of expert Data Labelers?
