Japanese is a highly context-dependent language, rich in omissions and ambiguity, which often becomes a major source of errors in machine processing.
Areas that are difficult to fully cover with in-house teams alone
Japanese-specific linguistic phenomena — such as subject omission, honorific and indirect expressions, polysemy, internet slang, and variations in proper nouns — have a significant impact on guideline design and annotation quality.
To achieve both speed and quality in model improvement, a continuous operational framework is required — one that combines a Japan-based execution team with seamless English communication and iterative optimization.
Japanese AI Data Annotation Services
We provide scalable, high-quality Japanese training data across text, speech, images, and video.
Text Annotation
✅ Intent classification, sentiment analysis, and topic categorization
✅ Evaluation of summarization, paraphrasing, and style transformation outputs
✅ Named entity recognition (NER) and relation extraction
✅ Toxicity detection, content moderation, and safety labeling
Japanese Speech Annotation
✅ Speech transcription with punctuation normalization and expression consistency
✅ Speaker diarization and utterance-level timestamping
✅ Noise, dialect, and disfluency tagging
✅ Audio quality and transcription readability QA
AI Image & Video Annotation
✅ Bounding boxes and segmentation annotation
✅ Attribute, scene, and action labeling
✅ Post-OCR correction and text region annotation
✅ Sample design and hard-case data collection
AI Validation & Proof-of-Concept (PoC) Support for the Japanese Market
✅ Evaluation framework design tailored to target user profiles
✅ Small-scale pilot planning and execution
✅ Insight extraction and hypothesis generation for iterative improvement
AI Operations & Services
Large Language Model (LLM) Output Evaluation
✅ Factuality, consistency, and usefulness evaluation framework design
✅ Japanese safety and guardrail evaluation
✅ Metric definition, scoring, and performance reporting
Human-in-the-Loop AI Operations
✅ Data filtering, deduplication, and cleansing
✅ Hard-case collection and retraining dataset construction
✅ Operational rule development and process documentation
Prompt & Response Evaluation and Validation
✅ Test case design and variation generation
✅ Regression testing and edge-case validation
✅ Quality gates and pass/fail decision workflows
AI Validation & PoC Support for the Japanese Market
✅ Evaluation framework design tailored to target user profiles
✅ Small-scale pilot planning and execution
✅ Insight extraction and hypothesis generation for continuous improvement
Quality Control & Operational Framework
We operate with full transparency across every stage — from requirement definition to continuous improvement — following a structured and reliable workflow.
Workflow
1. Requirement Definition: Clarifying Objectives, Quality Standards, and Project Scope
2. Guideline Development: Designing standards reflecting Japanese linguistic characteristics
3. Annotation Execution: Implementation by trained professional annotators
4. Quality Assurance & Double Review: Two-layer validation through measurement and expert review
5. Delivery & Continuous Improvement: Reporting, optimization proposals, and next-cycle planning
Pricing & Process
Pricing is provided on a custom quote basis according to project scope and requirements. We recommend starting with a paid pilot project for validation.
We respond to all inquiries within 24–48 hours.
Custom Quote
Pricing is calculated based on data type, volume, and quality requirements.
End-to-End Operational & Reporting Solution Design
Security requirements are taken into account.
