Data Annotation
Services
Data Annotation
Services
ELEVATE YOUR AI SOLUTIONS WITH EXPERT DATA ANNOTATION SERVICES
Data Annotation Outsourcing Services That Train Smarter AI
Great AI starts with great data. Fusion CX is a data annotation company that turns raw text, images, video, audio, and sensor data into the clean, human-labeled training data your models need to learn. From RLHF (Reinforcement Learning from Human Feedback) to physical AI training data for robots, our trained specialists label at scale, in 28+ languages, with 99%+ accuracy.
What Is Data Annotation?
Data annotation is the process of labeling and tagging raw data so machines can understand it. Human annotators markup datasets - drawing boxes around objects in an image, tagging the sentiment in a sentence, or transcribing speech in an audio clip — to create structured, high-quality training data. That labeled data teaches machine learning and AI models what to recognize, predict, and generate.
Put simply: models are only as smart as the data they learn from. Data annotation outsourcing lets you hand this labor-intensive work to a dedicated team, so your engineers can focus on building models instead of labeling data by hand.
Who We Serve
We support the full spectrum of teams building AI — from solo builders to enterprise ML organizations.
- Individual contributors and researchers who need reliable, affordable labeled data to train or fine-tune their own AI models.
- B2B and enterprise ML teams that require large-scale, secure, and repeatable annotation pipelines for production model development.
- AI product and robotics companies that need human-in-the-loop data collection, RLHF, and physical AI training data to ship real-world systems.
Behind every project, Fusion CX runs on Omind AI’s next-generation data annotation and AI training data platforms — Annotera.AI for multimodal data labeling and RLHF, and Roborax.AI for physical AI and robotics training data. Together they give you enterprise-grade tooling, workflow automation, and human-in-the-loop quality control in one connected pipeline.
Our Data Annotation Outsourcing Services
Our data labeling services cover every major data type, delivered by trained annotators — not anonymous crowd workers. Each project runs through a layered quality process, so what you get back is ready to train on.
Text Annotation
Named entity recognition, sentiment tagging, intent classification, and semantic labeling that power search, chatbots, and language models.
Image Annotation
Bounding boxes, polygons, semantic segmentation, and keypoint labeling for computer vision — from product catalogs to medical imaging.
Annotation
Frame-by-frame object tracking, event tagging, and multi-object labeling for autonomous systems, surveillance, and behavior analysis.
Audio & Speech Annotation
Transcription, speaker identification, sentiment, and intent labeling across accents and languages to train voice AI that actually understands people.
RLHF & Generative AI
Reinforcement Learning from Human Feedback, prompt and response ranking, red-teaming, and content moderation to align large language models with human judgment.
Physical AI Training Data
Robots and autonomous machines learn from the physical world — and that world is messy. Our physical AI training data services put skilled humans in the loop to capture, guide, and correct real-world behavior, so your robots learn faster and fail less.
We provide three core roles across the robotics product lifecycle:
Watchers
Trained monitors who observe robots and autonomous agents in action, flagging edge cases, unsafe moves, and moments where the model is unsure.
Resolvers
Experts who step in to correct those flagged cases and label the right outcome, turning every mistake into a fresh training example.
Teleoperation
Human operators who remotely guide robots through complex tasks, generating high-quality demonstration data that teaches the model how a task should be done.
The AI Training Data Lifecycle
As an end-to-end AI training company, we support your model across its entire life — not just the labeling step.
Here is how the pieces fit together:
Data Collection
Gathering and sourcing the raw text, images, video, audio, and sensor data your model needs, including real-world capture for physical AI.
Data Annotation
Labeling and structuring that raw data into clean, high-quality training sets.
Model Training
Feeding the labeled data into your models and refining outputs with RLHF and human review.
Model Deployment
Supporting the launch of your model into production with validated, tested data.
Monitor & Maintenance
Watching live model performance, catching drift, and retraining with fresh data so accuracy holds up over time.
Why Fusion CX for Data Annotation
Most annotation vendors do one thing: they label data. Fusion CX is different. We run live customer experience operations for global brands, which means we understand real human interactions at scale — and we put that understanding to work in our labeling.
Dedicated Teams, not Crowdsourcing
The same trained annotators work on your project, so quality and context stay consistent.
A closed-loop AI advantage
With 20,000+ agents across our global operations, Fusion CX both trains AI and deploys it — a live flywheel most annotation vendors simply cannot replicate.
Global Scale and 28+ Languages
Our multi-country delivery network handles high-volume, multilingual projects without sacrificing accuracy.
99%+ Accuracy through Layered QA
Annotator review, team-lead spot checks, and independent quality assurance catch errors before delivery.
For deep-dive, service-specific annotation work, explore our specialist annotation brand, Annotera — an Omind AI company, backed by Fusion CX.
Industries We Support
Our annotation and AI training data services power models across data-intensive industries:
Autonomous Vehicles and Robotics
Perception, navigation, and safety data.
Healthcare and Life Sciences
Medical imaging and clinical text, with privacy-first workflows.
Retail and E-commerce
Product catalogs, visual search, and review sentiment.
Banking and Financial Services
Fraud detection, document processing, and risk models.
Security and Surveillance
Object and event detection in video.
THE FUSION CX-FACTOR
20+ Years of
Experience
40+ Locations,
15 Countries
28+ Languages
Report and
Analysis
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FROM THE INSIGHTS
Healthcare Data Annotation 101: A Comprehensive Guide to Powering the Future of Medicine with Labeled Data
FAQs
FAQs
What industries do you cater to with your data annotation services?
We offer data annotation services customized for diverse industries, including retail and eCommerce, etc. Our expert team delivers top-quality training datasets to accelerate ML model development across these sectors.
What types of data can Fusion CX annotate?
We annotate text, images, video, audio, and sensor data. This includes named entity recognition, bounding boxes, semantic segmentation, transcription, RLHF, and physical AI training data for robotics.
What is RLHF and do you provide it?
RLHF (Reinforcement Learning from Human Feedback) is a training method where humans rank and rate model outputs to align AI behavior with human judgment. Yes — we provide RLHF, prompt and response ranking, and red-teaming for large language models.
How does Fusion CX ensure annotation quality?
Every project runs through a layered quality process: annotator self-review, team-lead spot checks, and independent QA. This is how we reach 99%+ accuracy across large, multilingual projects.
Can you support robotics and physical AI projects?
Yes. We offer watchers, resolvers, and teleoperation services to capture, guide, and correct real-world robot behavior — feeding corrected data straight back into model training.
Who can use your services?
Both individual contributors training their own AI models and B2B or enterprise teams building production ML systems. We scale from small pilot projects to high-volume enterprise pipelines.
