What Makes Hansem Global Different
-
A Proven Expert-Led Delivery Model That De-Risks Projects
- • Our projects are designed to succeed without relying on any single annotator’s individual skill.
- • Experienced in-house AM/PMs lead the entire lifecycle—from task design to delivery—and assign and guide resources by task type to minimize variance and execution risk at scale.
-
Global Operations Built for Large-Volume Programs
- • We stabilize high-volume delivery through global hubs and a deep talent pool aligned to key languages and domains.
- • With a 3,000+ specialist network and 24/7 project management, we protect quality even under aggressive timelines.
-
Data Reliability Backed by Rigorous Screening and ISO Standards
- • We select specialists with strong language interpretation and judgment skills, then maintain consistency through L1–L3 proficiency tiers and continuous monitoring.
- • ISO 27001–based security controls and a three-step quality process (QA–Review–LQA) ensure both accuracy and data protection.
AI Data Services Offerings
Text Labeling
Text is one of the most widely used data types for AI training. Hansem Global refines text data using a global linguist network that supports 235+ languages. We precisely identify and tag user intent, sentiment, context, and key entities so that AI models can accurately understand natural language.
High-quality training data strengthens NLP use cases such as chatbots, sentiment analysis, and information extraction—improving search accuracy and optimizing user interactions.
Precision tagging of intent, sentiment, context, and key entities
Audio Labeling
Spoken language varies by environment, intonation, dialect, and speaker characteristics. Our audio labeling service prepares speech data for voice AI training by transcribing audio with high accuracy and labeling metadata, including emotion, language, and dialect. We also identify non-speech sounds (e.g., glass breaking) to broaden recognition coverage.
This data is essential to advancing ASR and voice assistant solutions and is widely used in security and incident response systems.
High-accuracy transcription plus rich metadata labeling
Image Labeling
Image labeling provides essential training data for computer vision, facial recognition, and other visual AI models. We label objects, facial landmarks, and image-level classes with high precision, enabling models to detect and classify visual information reliably.
High-quality visual datasets are applied across autonomous driving, security monitoring, manufacturing quality inspection, and facial recognition solution development.
Pixel-precise labeling for object detection, classification, and facial landmark recognition.
Video Labeling
Video labeling converts dynamic, frame-by-frame visual information into training data for high-performance vision AI. We continuously track object motion and accurately label human/object actions and critical events.
This type of data is vital for models that must operate reliably in real-world conditions, especially for autonomous driving, action recognition, CCTV surveillance, and event detection systems.
event/action labeling to capture motion and real-world behavior.
...
...
AI Data Experts and Global Delivery
Hansem Global staffs projects with AI data trainers—not basic labelers—trained to handle intent and sentiment analysis.
-
Expert Staffing: We operate an L1–L3 multilingual tier system and assign the right talent based on task complexity.
-
Global Scale Operations: With 3,000+ specialists and 24/7 project management across hubs in Asia, the Americas, and Europe, we support large-volume multilingual programs reliably.
-
Trusted Workforce: We conduct strict background checks and security screening from the hiring stage, assigning only verified, high-caliber personnel to projects.
Technology Infrastructure and Security
We maintain a structured infrastructure that meets enterprise requirements for data security and quality management.
-
Enterprise-Grade Security: We apply ISO 27001–aligned controls required in regulated industries, including healthcare, legal, and finance. Upon request, we provide a closed working environment and execute an NDA as standard.
-
Scalable Quality Management: From data collection through labeling and validation, we manage the whole workflow in accordance with ISO-based processes. A three-step quality gate (QA–Review–LQA) and KPI-driven operations create a feedback loop that improves downstream model training performance.
-
Flexible Infrastructure: We can integrate with customer platforms and tailor the environment to maximize efficiency and end-to-end traceability.
See Our Services In Action
Dive into our collection of client success stories to see the real results we've achieved together.
Blog
Why Language Service Providers Are Critical to Multilingual AI Data Labeling Projects
Translation & Localization
Blog
Data Labeling for AI Projects: A Practical Guide to Joining Global Initiatives
Translation & Localization
