close
Contact Us
OUR SERVICES

AI Data Services for Cleaner Training Data and Better Model Performance

New Media AI helps businesses prepare, label, review, and validate the data behind their AI systems. We support AI data workflows with trained teams who can annotate text, images, video, and structured data, check label quality, apply taxonomy rules, and catch inconsistencies before they affect model performance.

Why Human Review Matters in AI Data Workflows

Automation can speed up labeling, but it does not solve ambiguity, unclear categories, weak instructions, or edge cases. Human review helps improve consistency, reduce rework, and build more dependable training data.

What Our AI Data Services Include

Our human-in-the-loop teams handle workflow parts AI shouldn't do alone. We review AI outputs, validate decisions, check policies, manage escalations, and handle context-based exceptions. 
CAPABILITIES
01 Data Annotation
02 Data Labeling
03 Classification & Tagging
04 Dataset Validation
05 Quality Control
06 Dataset Preparation Support
01
Data Annotation

For text, images, video, and other content types

02
Data Labeling

Using your taxonomy, category rules, and quality standards

03
Classification & Tagging

For search, relevance, intent, and content type

04
Dataset Validation

To catch missing labels, weak logic, and inconsistent outputs

05
Quality Control

Secondary review and QA checks

06
Dataset Preparation Support

For AI training, evaluation, and model improvement

What This Looks Like in Practice 

Labeling product, marketplace, or platform content for categorization
Reviewing chatbot and LLM training examples for accuracy and consistency
Tagging text, user content, or support conversations based on taxonomy rules
Reviewing image and video assets for labels, objects, or compliance markers
Validating existing datasets before they are used for training or evaluation

Business Benefits

Streamline human-in-the-loop workflows across trust, safety, and AI-assisted operations.
Higher Data Quality
Cleaner datasets and fewer labeling errors
Consistent at Scale
Better consistency across large-volume tasks
Stronger QA Coverage
Stronger QA coverage before training or evaluation
Faster Issue Detection
Faster issue detection in edge cases
Better Model Outcomes
A more reliable foundation for model improvement

How We Support Your Workflow

New Media AI can work with custom guidelines, taxonomies, label definitions, review rules, escalation paths, and QA scorecards. We adapt to your structure instead of forcing a generic process.
FAQ

Frequently Asked Questions

What are AI data services?
AI data services include collecting, labeling, annotating, validating, reviewing, and quality-checking the data used to train or improve AI systems.
What is the difference between data annotation and human review?
Data annotation creates the labels. Human review checks whether those labels are accurate, consistent, complete, and aligned with your rules.
Can New Media AI support custom data guidelines?
Yes. We can work with your taxonomy, instructions, review logic, QA process, and project-specific labeling rules

Improve the Data Behind Your AI

Let’s build a cleaner, more reliable AI data workflow with the right mix of process, human review, and scalable support.
Talk to Us
Contact

Contact Us

We work with businesses that need dependable human oversight for AI operations, content moderation, data labeling, and customer support. Tell us what you're working on and we'll help you figure out the right approach.
Office
1710/35 Spring Street, Melbourne, VIC 3000 Australia

    A good company is comprised of good employees. NMS-AU encourages our workforce regardless of rank or tenure to give constructive ideas for operations improvement, workplace morale and business development.
    Menu
    close
    © 2024 New Media Services | All Rights Reserved
    Privacy and Policy