DATA LABELING SERVICES

High-Quality Data Labeling For Enterprise AI

AHT Tech build fast, accurate data labeling pipelines for your AI models. By combining expert annotators with automated quality checks, we deliver the clean, precise datasets your algorithms need to perform at their best.

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OUR SERVICES

Turn Raw Unstructured Assets into Production-Ready Datasets

Our interconnected annotation pipelines transform complex visual, text, and audio assets into clean, structured data designed specifically for advanced machine learning and LLM workflows.

Audio & Speech Annotation

Turn speech and audio datasets into structured training data through transcription, speaker identification, timestamping, classification, and other audio annotation tasks. Annotation guidelines can be adapted to different languages, accents, domains, and recording conditions.

Audio Transcription Speaker Diarization Timestamp Annotation Audio Classification

Text Annotation & NLP Data Labeling

Structure unstructured text for NLP and language-model applications through entity annotation, intent classification, sentiment labeling, text categorization, and other task-specific schemas. Projects can be configured for multilingual datasets and domain-specific terminology.

Named Entity Recognition (NER) Intent & Sentiment Tagging Multilingual Categorization

Computer Vision (Image & Video)

Prepare visual datasets for computer vision models with structured annotations across images and video. We support object detection, classification, segmentation, tracking, and other annotation tasks based on your model requirements.

2D/3D Bounding Boxes Polygon Annotation Semantic Segmentation Keypoint Annotation Object Tracking

LLM Data Annotation & Human Feedback

Create human-reviewed datasets for LLM training, evaluation, and alignment. Our teams can support prompt-response evaluation, response ranking, preference data collection, safety classification, and other human-feedback workflows defined around your model objectives.

Prompt–Response Evaluation Preference Ranking Safety & Toxicity Filtering Human Feedback
Audio & Speech Annotation
NLP & Text Processing
Computer Vision (Image & Video)
LLM Fine-Tuning & RLHF
OUR INDUSTRY SOLUTIONS

Domain-Specific Data Labeling Across Industries

As an AI-first enterprise software partner, AHT Tech leverage specialized workflows tailored to your unique industry demands.

We annotate high-resolution 2D/3D camera and LiDAR data with precise bounding boxes and semantic segmentation to train safe self-driving systems and advanced driver-assistance features.

We label product catalogs, inventory records, invoices, purchase documents, and other operational datasets to support document automation, product matching, catalog normalization, demand planning, and supply-chain AI applications.

We annotate transaction records, financial documents, customer communications, and other domain datasets for fraud detection, document intelligence, risk-model training, and financial NLP applications.

We support annotation of medical images, clinical text, and other healthcare datasets according to project-specific labeling protocols for applications such as medical imaging analysis, clinical NLP, and healthcare AI research.

Our team structures student learning logs, audio recordings, and handwritten coursework to help you build smart tutoring tools and adaptive, personalized learning platforms.

We annotate images, video, sensor-related records, and industrial datasets for applications such as visual quality inspection, defect detection, equipment monitoring, workplace safety, and predictive maintenance models.

We annotate transaction records, financial documents, customer communications, and other domain datasets for fraud detection, document intelligence, risk-model training, and financial NLP applications.

We label product images, catalog attributes, search queries, customer feedback, and other commerce data to support product discovery, visual search, recommendation, catalog enrichment, and customer-experience models.

OUR TECHNOLOGY STACKS

The Tools Behind Our Recommendation

Our Worldwide Customers

Case studies

iDeal iDea Transforms with Odoo: A Game-Changing Solution

iDeal iDea for Medical Equipment Technology Co., based in Saudi Arabia, is a dedicated company that distributes medical equipment and accessories. Their primary goal is to offer their customers optimal solutions at competitive prices, revolutionizing the traditional online purchasing experience and ultimately reducing costs for end customers. They have successfully integrated Odoo, an open-source ERP system, into their operations to achieve this. This implementation has significantly enhanced workflow efficiency and overall business performance.

Scale Tech Accessories Innovator Mous with Acumatica Cloud ERP

Mous is top-rated with premium products based on a laser to innovate and expand. Founded in 2014, Mous designed a durable but elegant phone case for iPhone. After a record-breaking $2.5 million crowdfunding campaign, Mous launched to market the high-end phone case in 2017. Mous realized that well-designed phone cases were necessary, so they accelerated to elevate customer marketing. Although Sales increased dramatically, the financial system needed to adapt to scale quickly as it added top-notch technology. Mous considered some solutions before and decided to choose Acumatica. The Acumatica ERP provides a flexible, all-in-one business application that seamlessly connects its multiple eCommerce stores and easily scales as the company grows.

How Twiscode Keeps East Indonesia's Best App Developer With Lark

Twiscode is an app development company based in Indonesia that specializes in building cutting-edge mobile and web applications. The company's expertise in developing applications that are tailored to their clients' needs has made it one of the leading developers in East Indonesia. Twiscode collaborates with Lark with a desire to boost efficiency and productivity.  

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STEP-BY-STEP PROCESS

Our Data Labeling & Quality Assurance Workflow

From annotation guidelines and pilot labeling to quality review and dataset delivery, our workflow is designed to produce consistent, traceable training data at scale.

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STEP 1

Annotation Guidelines & Pilot

We start by building your custom labeling rulebook and defining edge cases. Then, we run a small test batch to make sure our team perfectly matches your quality standards before full production starts.

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STEP 2

Production Labeling

Your raw files, whether images, videos, text, or audio, are safely loaded into our platform. Specialized teams then step in to precisely tag your files using the exact visual, text, or speech tools your project needs.

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STEP 3

Multi-Layer Quality Assurance

Every piece of labeled data goes through a strict review loop. We combine automated software checks with human reviews and senior auditor spot-checks to catch and fix errors instantly.

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STEP 4

Dataset Validation & Delivery

Approved annotations are validated against the required schema and delivered in agreed formats such as JSON, JSONL, CSV, XML, COCO, or other project-specific formats, together with relevant labeling metadata where required.

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STEP 5

Ongoing Support

We offer continuous after launch support, labeling new real-world data and tricky edge cases to keep your model sharp.

Protecting Your Data Is Our Top Priority

SOC 2 Type II Certified

Our systems undergo an annual independent audit covering all five trust services criteria. Full report under an NDA within one business day.

GDPR

Full compliance with DPAs, EU/UK data residency, right to erasure, and strict Standard Contractual Clauses for safe international transfers.

HIPAA

BAA provided for all healthcare clients; PHI is never used for model training, and secure on-premise deployment is available.

ISO 27001:2022

ISMS certified to current standard. Annual surveillance audits. Full ISMS documentation available for enterprise procurement review.

EU AI Act 2026

Built-in model transparency, conformity assessment support, human oversight, bias detection, and operator obligation tracking.

PCI-DSS

Cardholder data is never stored on our infrastructure and is processed entirely within your own PCI-compliant environment.

ABOUT AHT TECH

Why Partner With AHT Tech?

Global businesses trust AHT Tech for more than just technical support - they rely on us as top strategic partners to navigate complexity and drive efficient transformation.

AI-First Innovation

By integrating AI-first solutions into our core offerings, from predictive analytics to AI-driven eCommerce agents, AHT Tech ensure your infrastructure is smarter, faster, and ready for the next generation of digital commerce.

Deep Domain Expertise

With 19+ years of engineering, we bring specialized mastery to every project, our deep industry knowledge turns technical hurdles into competitive advantages.

Dedicated Global Support

Our global support model ensures your operations never sleep. We act as a seamless extension of your team, providing proactive monitoring and technical stewardship that guarantees your systems remain resilient and mission-ready.

Results-driven Performance Metrics

Every solution we engineer is anchored in measurable ROI and performance KPIs. By aligning our technical roadmap with your business outcomes, we ensure that digital transformation results in tangible growth and operational precision.

Ready to Launch?

Let's Build the Future of Your Business with Our Data Labeling Services Today

The first step toward innovation is a simple conversation. We’re ready when you are.

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FAQ

Frequently Asked Question

What are data labeling services?

Data labeling services transform raw images, video, text, audio, and other data into structured annotations that can be used to train, evaluate, and improve AI and machine learning models.

What types of data can AHT Tech label?

AHT Tech supports image, video, text, audio, document, and multimodal data labeling for computer vision, NLP, speech AI, LLM, and other machine learning applications.

How do you maintain data labeling quality?

Quality workflows can combine project-specific annotation guidelines, automated validation, human review, specialist checks, and edge-case resolution based on the requirements of each dataset.

Do you support LLM data annotation?

Yes. LLM data annotation can include prompt-response evaluation, preference ranking, safety classification, text labeling, and other human-feedback datasets for model training and evaluation.