High-Quality Data Annotation and Labeling in Japanese
Nextremer has been working on natural language processing (NLP) projects specializing in Japanese for many years. This expertise enables us to accurately understand and annotate Japanese honorifics, writing styles, and ambiguous expressions.
Over 500 AI Development Projects Completed
More Than 30 Technical Experts
100% Labeled Data Quality
100% Customer Satisfaction
Are You Facing Any of These Challenges
in Your Organization?
Low-Quality Data Annotation and Labeling in Japanese
You wish to outsource data annotation and labeling in Japanese for your AI development, but you have concerns about the quality of the labeled data delivered.
Security Concerns About Outsourcing Overseas
You are worried that your sensitive data could be compromised when outsourcing data annotation and labeling in Japanese to oversea companies.
Lack of Companies that Can Handle Data Annotation and Labeling Flexibly
Your ongoing project requires frequent changes to data annotation and labeling requirements, but you can’t find an outsourcing company that can adapt accordingly.
Lack of Labeled Data
You’re planning to develop a new AI system, but a lack of labeled data is causing delays.
That’s Where Nextremer Comes in.
With extensive experience in data annotation and labeling services,
paired with advanced AI development, we can help solve your outsourcing concerns
related to data annotation and labeling in Japanese.
01
Strengthening Quality Assurance through Joint Research with a Designated National University
At Nextremer, we are conducting joint research with the University of Tsukuba to improve the reliability of data annotation and labeling work, which directly impacts the quality of the labeled data used to develop AI. Our research focuses on standardizing quality assurance methods for data annotation and labeling tasks, developing guidelines, and verifying reproducibility by integrating the academic insights framework with real-world operations. We maximize the success rate of our clients’ AI development by continuously updating this reliable data creation system.
02
A Framework Built for International Collaboration
Our team includes English-speaking staff and has extensive experience working with international clients. We can handle English-language specifications, provide interpretation during meetings, and deliver regular progress updates—ensuring smooth communication and project execution across borders.
03
Support for Raw Data Collection in Japan
High-accuracy AI requires raw data. Our service can also supports the collection of raw data in Japan when needed, in various formats, including images, video, text, audio, sensor data, and 3D point clouds.
04
Full Support from the Planning Phase
Our service brings together a full team of AI development experts to provide end-to end support, from initial planning to data annotation and labeling in Japanese. We also offer consultations on machine learning algorithms, system development, and maintenance.
05
Flexible Adaptation to Requirement Changes during the Project
When training models with labeled data, it's common for the initial data requirements to change during development, such as the need for changes to data annotation and labeling specifications or adding new data. Based on our years of experience, our service is designed to accommodate these changes and additions flexibly throughout the project.
Supported Types of Data Annotation
and Labeling in Japanese
Our service covers a wide range of data formats,
including images, video, text, audio, sensor data, and 3D point clouds.

Image Data
- Object Detection
- Semantic Segmentation
- Image Classification
- Pose Estimation
- Facial Expression Recognition

Video Data
- Action Recognition
- Object Tracking
- Video Classification

Text Data
- Morphological Analysis
- Named Entity Recognition (NER)
- Text Classification

Audio Data
- Speech Transcription
- Anomaly Detection
- Audio Classification
Step 1
Define Your Requirements
Our AI system development staff will carefully listen to your project outline and work with you to define your goals, the required data volume, the delivery timeline and other project requirements.
Step 2
Quotation
We prepare an estimate for data annotation and labeling in Japanese based primarily on three factors: task complexity, required data volume, and the environment for creating labeled data. We also consider additional elements, such as the need for raw data collection in Japan and the project timeline.
Step 3
Contract
You will select your preferred plan based on a comprehensive evaluation of the data annotation and labeling samples, requirement definition, and quotation details, and we will conclude a partnership agreement.
Step 4
Raw Japanese data collection (Optional)
After reviewing our sample of data annotation and labeling in Japanese, the project requirements document, and the quote, you can choose a plan that suits your needs and sign a business contract with us.
Step 5
Data annotation and labeling in Japanese
We create labeled data from existing or newly collected raw data. As with the collection process, we periodically check the quality of the labeled data with you.
Step 6
Delivery
The contract ends once the labeled data has been delivered, but optional contract renewals are available. Depending on the plan, we offer additional support for deploying AI systems.
As a company specialized in AI development,
we take great pride in the quality control of the labeled data we deliver.
We are also fully committed to information security and confidentiality to ensure that your data stays safe.
If you are facing challenges in creating labeled data or developing a high-quality AI system,
please get in touch with us using the form below for a consultation.
Our Clients











