AI Data Services by AtGlobal
Collect, Annotate and Manage AI Training Data
AI Data Services
AtGlobal leverages over 23 years of translation expertise and in-market insight to deliver the data and data operations essential for AI enablement. From low-resource languages to major global languages, we provide end-to-end support for building, curating, and managing high-quality multilingual datasets—ready to fuel your models.
ISO 27001 (ISMS) | ISO 17100 (TSP) Certified
Are You Facing These Challenges in Multilingual Data Development?
Data
Collection
You want to deploy your AI globally, but cannot source high-quality training data in specific or low-resource languages.
Data
Quality
Your datasets contain inconsistencies, noise, and bias, leading to LLM hallucinations and poor alignment. You need clean, domain-specific data to improve model accuracy.
Quality
Assurance
Government or enterprise projects require strict data governance, quality assurance, acceptance criteria, and documented rights management.
Program
Management
In multi-stakeholder AI initiatives, annotation workflows and data operations management cannot keep pace with model development.
AtGlobal’s AI Data Services Solve These Challenges
We take ownership of program design, quality assurance, and project execution, creating the optimal environment for your AI initiatives to achieve measurable outcomes—faster.
01
Rapid Launch: Expertise in Multilingual & Low-Resource Languages
From data discovery and cleansing to delivering AI-ready datasets in optimized formats, we design and execute end-to-end data pipelines.
For low-resource languages—often challenged by orthographic variation and encoding issues—we apply language-aware strategies to rapidly build high-quality corpora that can be immediately leveraged for model training and fine-tuning.
02
Quality & Governance by Design
We go beyond simple data aggregation.
We establish clear QC metrics, structured review workflows, error analysis, and corrective feedback loops to ensure measurable data quality.
Our deliverables meet the rigorous acceptance standards required by governments and global enterprises, providing full traceability and defensible documentation of why and how data was selected and prepared.
03
Operational Hub for AI Acceleration
In consortium-style or multi-vendor AI programs, we function as the operational hub—coordinating annotation teams, managing timelines, and ensuring dataset consistency.
By fully managing complex data workflows and labeling operations, we enable your AI engineering team to focus exclusively on core model development.
Our AI Data Services
We package every stage that directly impacts model training and evaluation performance. Engage us for individual components or full-cycle data programs.
Data Acquisition & Preparation
Build AI-ready, training- and evaluation-grade data assets that can be seamlessly integrated into your models and applications.
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Annotation & Labeling
Deliver scalable, high-quality ground truth data that powers reliable model training and objective evaluation.
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Evaluation Data & Model Assessment
Enable objective, measurable quality evaluation of AI models, prompts, and systems through structured benchmarks and human review.
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Data Acquisition & Preparation
Objective: Build AI-ready, evaluation-ready data assets that can be seamlessly integrated into models and applications.
Services Include:
Data Discovery & Requirements Definition
Clarifying objectives, languages, domains, and restricted content areas
Data Collection, Integration & Rights Management
Ingesting client-provided data, supporting public data sourcing strategy, web crawling, and packaged data licensing and rights clearance
Data Augmentation & Synthetic Data Generation
Expanding limited datasets and improving coverage using LLM-powered synthetic data generation
Preprocessing & Data Cleansing
Normalization, deduplication, noise removal, train/validation/test splits, and metadata enrichment
Sensitive Data Controls
Anonymization strategies and PII masking policies
Secure Data Infrastructure Enablement
Data cataloging, access controls, and audit logging to ensure secure data operations
Deliverables:
Optimized datasets (JSONL, CSV, Parquet, etc.), data dictionaries (schemas and quality metrics), and processing specification logs
Sample KPIs:
Duplication rate, missing value rate, PII contamination rate, domain/language coverage, reproducibility
Annotation & Labeling
Objective: Deliver scalable, high-quality ground truth data for model training and evaluation.
Services Include:
Taxonomy & Label Schema Design
Category definitions, edge-case policy design
Multimodal Annotation
Text, image, and audio annotation programs
Multi-Tier Review Workflows (Four-Eyes Principle)
Annotator → Reviewer → Adjudicator
Guideline & Style Guide Management
Multilingual terminology control, brand tone, honorifics, restricted language policies
Deliverables:
Labeled datasets, operational annotation guidelines, and quality reports including Inter-Annotator Agreement (IAA)
Sample KPIs:
IAA (Cohen’s kappa, etc.), rework rate, review rejection rate, on-time delivery performance
Evaluation Data & LLM Quality Assurance
Objective: Enable objective, measurable evaluation of AI models, prompts, and systems.
Services Include:
Benchmark & Test Set Development
Use-case-based and difficulty-tiered benchmarks, including red-teaming perspectives
Rubric Design
Scoring criteria for accuracy, instruction adherence, grounding, tone, and safety
Human Evaluation Programs
Expert and native-speaker scoring, commentary, and structured feedback
Deliverables:
Evaluation datasets, scoring rubrics, evaluation reports (scores with justification), and structured error taxonomies
Sample KPIs:
Evaluation reproducibility, evaluator agreement rates, critical defect detection rates
Why AtGlobal
AtGlobal combines over two decades of language services expertise with a global network spanning 60+ countries and regions.
01
Global Delivery Model with In-Market Expertise
Japanese-speaking project managers provide centralized coordination while collaborating with native specialists deeply familiar with local culture, legal systems, and administrative terminology.
We deliver contextualized, nuance-aware data quality essential for AI evaluation—beyond literal translation or machine output.
02
Scalable Global Resource Network
Our established linguistic network enables large-scale data sourcing and annotator recruitment—even in markets where structured data ecosystems barely exist.
We flexibly accommodate sudden volume increases and complex multilingual requirements.
03
Certified Security & Quality Standards
We implement rigorous information security measures to protect confidential and personal data, and uphold the highest level of quality management processes in full compliance with internationally recognized translation service standards.
ISO 27001（ISMS）
ISO 17100（TSP）
If you are facing challenges in multilingual data preparation, annotation, or LLM evaluation, we welcome your consultation.
No inquiry is too small. AtGlobal will design the optimal data foundation to help your AI move beyond experimentation—toward real-world performance and scalable success.
