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AI & Automation · AI Data Labeling Services
AI data labeling — training data that performs.
AI data labeling company delivering ML training data annotation services — hire data annotation specialists for image, text, video, and RLHF labeling that provides the high-quality training datasets your production ML models need.
ML training data annotation services
Computer vision training data services
NLP & text annotation company
RLHF dataset creation services
Hire data annotation specialists
Data quality assurance
99%+
Annotation accuracy
Multi-pass quality assurance for production ML training data.
50+
Annotators available
Scalable labeling workforce for projects of any size.
4+
Data modalities
Image, text, video, and audio labeling for diverse ML use cases.
100K+
Samples labeled
Human feedback data for fine-tuning and aligning large language models.
Why MetaDesign
Hire data annotation specialists for production ML.
AI data labeling company — image, text, video, RLHF — accurate training data at scale.
01
Quality-First Approach
AI data labeling company with multi-pass annotation, inter-annotator agreement metrics, gold-standard validation, and continuous quality monitoring — not crowd-sourced guesswork.
02
Multi-Modal Labeling
Computer vision training data services covering image classification, object detection, semantic segmentation, NER, sentiment analysis, audio transcription, and video annotation.
03
ML-Aware Annotations
Hire data annotation specialists who understand ML model requirements — class balance, edge cases, and labeling consistency that directly improves model accuracy.
Computer Vision
Computer vision training data services delivering bounding boxes, polygons, semantic segmentation, and keypoints for object detection and image classification.
NLP Training Data
NLP & text annotation company providing named entity recognition, sentiment labeling, intent classification, and text categorisation for NLU models.
LLM Fine-Tuning
RLHF dataset creation services delivering preference rankings and instruction-following pairs for fine-tuning GPT, Claude, and Gemini.
Autonomous Systems
Hire data annotation specialists for LiDAR point cloud annotation, lane marking, and 3D object detection for autonomous driving and robotics.
Our approach
Five stages, paired end-to-end.
Predictable delivery. No black-box sprints.
01
Define
Labeling taxonomy, annotation guidelines, and quality criteria.
02
Setup
Tool configuration, annotator training, and pilot batch.
03
Label
Production annotation with multi-pass QA and consistency checks.
04
Validate
Inter-annotator agreement, gold-standard validation, and accuracy reporting.
05
Deliver
Export in model-ready formats (COCO, YOLO, Pascal VOC, JSONL).
Customer value
Six places it pays back in the first sprint.
Real outcomes our clients report within the first engagement cycle.
Faster time-to-market
Production-ready teams that ship from week one — no ramp-up lag.
Reduced technical risk
Architecture reviews, code audits, and security scans baked into every sprint.
Measurable velocity
Cycle time, PR throughput, and defect density tracked from day one.
Cost predictability
Fixed-price or capped T&M — no surprise invoices, ever.
Continuous improvement
Retros, post-mortems, and process refinement every sprint.
Knowledge transfer
Your team grows. Documentation, pair programming, and workshops included.
Technology
Tools our ai data labeling developers ship with.
We use what works. No vendor lock-in.
Label StudioCVATLabelboxScale AICOCO FormatYOLO FormatPascal VOCJSONLPythonOpenCVspaCyProdigyAWS S3GCSAzure BlobCustom Pipeline
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models
Three ways to work with our AI Data Labeling Services team.
Scale up, scale down — zero procurement headaches.
Fixed-scope project
Start-to-finish delivery with total cost, timeline, and scope agreed upfront. Best for well-defined builds and launches.
BEST FORNew product launches
Dedicated team
A ring-fenced squad — PM, tech lead, engineers, QA — fully managed by us, embedded in your workflow.
BEST FORLong-running platforms
Staff augmentation
Plug senior engineers into your existing team and tools. You manage priorities, we deliver results.
BEST FORCapacity gaps & sprints
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
As an AI data labeling company, we annotate images (bounding boxes, segmentation, keypoints), text (NER, sentiment, classification), video (frame-by-frame annotation), audio (transcription, speaker diarisation), and LLM training data (RLHF, instruction pairs).
Our ML training data annotation services include multi-pass labeling, inter-annotator agreement metrics, gold-standard validation sets, continuous quality monitoring, and dedicated QA reviewers. We target 99%+ accuracy on all projects.
Yes. Our RLHF dataset creation services deliver human preference rankings, instruction-following pairs, and safety annotations for RLHF training. Hire data annotation specialists trained on specific LLM alignment guidelines.
Our computer vision training data services deliver in COCO JSON, YOLO TXT, Pascal VOC XML, JSONL, CSV, and custom formats — whatever format your ML pipeline expects.
Our data annotation specialists are trained on extensive edge-case guidelines and utilize multi-stage peer review and consensus mechanisms to ensure accuracy when labeling highly ambiguous or complex images.
We utilize industry-leading annotation platforms like CVAT, Labelbox, and Snorkel, combined with custom scripts to deliver highly precise bounding boxes, polygons, and semantic segmentation masks.
Yes, as a specialized AI data labeling company, we maintain a vast network of vetted annotation specialists and can rapidly scale our workforce to handle massive, time-sensitive dataset creation projects.
We operate within strict clean-room environments, enforce comprehensive NDAs, disable local storage, and utilize secure, cloud-based annotation tools to guarantee the absolute confidentiality of your proprietary data.
Our process involves highly skilled domain experts who carefully rank and rewrite LLM outputs based on strict alignment criteria (helpfulness, honesty, harmlessness) to create superior RLHF training datasets.
Yes, we provide specialized multi-lingual data annotation services leveraging native speakers to accurately label text for sentiment analysis, entity extraction, and conversational intent across dozens of languages.
Get high-quality training data for your ML models.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.