Data Annotation & Labeling Services
The training-data layer behind accurate AI
Modern machine learning is only as good as the labelled data it learns from. Data annotation — also known as data labeling — is the disciplined process of enriching raw images, video, text, audio and sensor data with accurate, machine-readable tags that teach models what to recognise, predict and generate.
As a specialist data annotation company, Corpshore AI pairs a large, trained human workforce with rigorous quality assurance and secure delivery. Whether you are bootstrapping a computer-vision model, fine-tuning an LLM, or evaluating a generative system, we turn messy, unstructured data into reliable training and evaluation sets — fast, consistently and at enterprise scale. Explore our full artificial intelligence services to see how annotation fits your AI roadmap.
Annotation across every data type
One partner for the full spectrum of AI training data — from 2D images to 3D point clouds and clinical imaging.
Image annotation
Bounding boxes, polygons, semantic segmentation and keypoints for object detection, classification and visual search across millions of images.
Video annotation
Frame-by-frame object tracking, event tagging and interpolation for autonomous driving, sports analytics, security and behaviour recognition.
Text & NLP
Named-entity recognition, intent, sentiment, relationship extraction and document classification to train search, chatbots and LLM pipelines.
Audio & speech
Transcription, speaker diarization, phoneme and utterance labelling, and audio-event tagging for ASR, voice assistants and call analytics.
LiDAR & 3D point cloud
3D cuboids, segmentation and sensor-fusion labelling of point-cloud data for autonomous vehicles, robotics and spatial mapping.
Medical imaging
DICOM-native annotation of X-ray, CT, MRI and pathology by clinically-guided annotators for diagnostic and research AI.
The labelling methods we deliver
From pixel-perfect geometry to language and preference labelling, our annotators are trained across the techniques that power detection, segmentation, NLP and generative-AI alignment.
Accuracy you can audit, security you can trust
Great training data is a process, not a one-off. Every Corpshore AI program is wrapped in a multi-tier quality assurance pipeline and enterprise-grade information security — so you get labels you can trust and data handling you can defend to your compliance team.
- Annotator certification and calibration on your guidelines
- Gold-standard honey-pot tasks seeded into live work
- Overlap, consensus and inter-annotator agreement scoring
- Dedicated second-pass reviewers and edge-case escalation
- Live dashboards for accuracy, throughput and SLAs
Compliance & data protection
Security scope is agreed per project and built into your statement of work — including secure facilities, VDI or on-prem access, and signed NDAs for every annotator.
15,000+ trained annotators, ready to ramp
Spin up dedicated, guideline-certified teams in days, not months. Our follow-the-sun delivery network flexes with your pipeline — absorbing spikes for model releases and scaling back between cycles — while managed team leads keep quality and throughput on target.
Domain-aware annotation for technical and regulated fields
Annotators trained in the context of your industry — because a lane line, a lesion and a ledger each demand different expertise.
Autonomous vehicles
Perception datasets — lanes, signs, pedestrians, vehicles — across camera, LiDAR and radar for ADAS and self-driving stacks.
Healthcare & life sciences
Clinically-supervised labelling for imaging diagnostics, pathology and patient-data structuring under HIPAA-ready controls.
Retail & e-commerce
Product tagging, attribute extraction, visual search and catalogue enrichment to power discovery and recommendations.
Agriculture & agtech
Crop, weed and pest detection from drone and field imagery to drive precision-agriculture and yield models.
Finance & insurance
Document extraction, KYC, fraud-signal labelling and sentiment on filings and communications for risk and automation.
Generative AI & LLMs
RLHF ranking, preference data, prompt and response rating, and red-teaming to align and evaluate foundation models.
Content moderation & data enrichment
Beyond labelling, our trained teams handle content moderation, policy enforcement and dataset enrichment — reviewing text, images and video against your guidelines and supporting RLHF and red-teaming to keep generative-AI systems safe, aligned and on-brand.
Explore the wider Corpshore AI stack
Data annotation, answered
What is data annotation and why does AI need it?
How do you ensure annotation quality at scale?
What data types and formats can Corpshore AI annotate?
What is your pricing model?
How is our data kept secure and compliant?
Start with a free annotation pilot
Send us a sample of your real data and success criteria. We will scope a paid pilot, prove quality and throughput, and give you a clear path to scale.
Request a free pilot