Data Annotation for Trust and Safety AI
Train AI moderation and content safety models with labeled data for UGC classification, AI policy enforcement, and GenAI evaluation.
REQUEST PILOTTrusted by
200+ customers
Providing Trust and Safety Solutions for
Content Moderation and Policy Teams
Policy drift makes last quarter’s labels stale
Subtle harm classes have low inter-annotator agreement
Synthetic and AI-generated media bypass legacy classifiers
Platform Integrity and Compliance
Evaluator disagreement on subjective categories
Multilingual policy nuance lost in scaled review pools
Appeals and edge-case backlogs grow under DSA & OSA
Generative AI Safety and Alignment
Red-team prompts need consistent harm-tier labeling
RLHF preference data for LLM drifts without calibration
LLM safety classifiers miss novel generative harm patterns
Featured Client Story
Overview
For Guardrails AI, an AI safety software company, Label Your Data provided text training data for open-source safety filters for LLM agents. See how our team helped detect hallucinations and block unapproved financial advice in enterprise AI apps.
Results
sentences labeled
factual claims extracted
client-supplied texts analyzed
Trust and Safety AI Use Cases We Support
Train AI content safety and moderation models with consistent labels across multimodal content.
Annotate user-generated content (UGC) at platform scale with regional context.
Process sensitive content with trained specialists and structured wellness protocols.
Build evaluation and alignment datasets for safety classifiers and frontier models.
Structure platform content for brand safety AI, moderation, advertising, and analytics workflows.
Train AI content safety and moderation models with consistent labels across multimodal content.
Annotate user-generated content (UGC) at platform scale with regional context.
Process sensitive content with trained specialists and structured wellness protocols.
Build evaluation and alignment datasets for safety classifiers and frontier models.
Structure platform content for brand safety AI, moderation, advertising, and analytics workflows.
How We Work
Discovery
call
Book a call or fill out a contact form to discuss your needs with our team.
Pilot
project
Send sample data and receive annotations at no cost to evaluate quality.
Custom
proposal
Get a tailored plan with scope, timelines, and transparent pricing.
Data
annotation
Scale up with dedicated, vetted teams and multistep QA workflows.
Delivery
and iteration
Receive export-ready data and iterate as your policy and model evolve.
Estimate Your Costs
For other use cases
send us your request to receive a custom calculation
Send your sample data to get the precise cost FREE
Why Trust and Safety Teams Choose Label Your Data
Data Annotation for Complex Environments
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Structured Quality from Pilot to Production
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Flexible and Scalable Operations
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
An Integrated Delivery Partner
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Projects Led by Annotation Experts
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
Scale Trust and Safety Solutions
with Consistent Labeled Data
talk to our experts
Reviews
What Our Clients Say
Label Your Data has successfully collected data from public sources, annotated missing skeletons, and validated pre-annotations for almost 15,000 images. Although their instructions are sometimes unclear, the team has received praise for their flexibility and speed. They also communicate via email.
Jack Prescott
Software Engineer, Nex
Label Your Data has delivered high-quality data labels, which have received positive client feedback. Their team produces outputs on time and solves challenges without upselling. They also communicate effectively through virtual meetings.
Ben Niehaus
CTO, SpexAI GmbH
Label Your Data's support has been crucial in developing the client's computer vision perception algorithms. They lead a simple and effective collaboration by responding quickly to concerns and questions and delivering everything on time.
Piotr Swierczynski
Director of Engineering, NODAR
Label Your Data provided the client with high-quality annotations and added to the number of annotations in the client's portfolio. The team was consistently available for questions or updates that needed to be added to the data set. The client was impressed with the team's communication skills.
Josha Bharadwa
Software Architect, Searidge Technologies
Label Your Data continues to work diligently for the client. They consistently provide training data for different document types and languages. Furthermore, they are excellent communicators and collaborators, and their ability to serve high-quality services is outstanding.
Luca van Skyhawk
VP of Customer Success, Hypatos GmbH
After engaging with Label Your Data, the client has seen a reduction in error rate and success with model accuracy running on production. The team delivered on time and was communicative in their approach. The client was impressed with the steps Label Your Data took to ensure accurate QA testing.
Radouane Kaddari
Machine Learning Engineer, Peter Park
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After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.
Maxime Debarbat
Senior ML Engineer (GenAI)
Trusted by ML Professionals
FAQs
How do you handle graphic content like CSAM or violent extremism?
We use trained moderation specialists working in secure environments, with structured rotation, content-exposure limits, and access to wellness support. Sensitive workflows are scoped separately from general moderation queues, and we align with industry guidance on moderator wellbeing.
How do you support DSA and Online Safety Act reporting?
We label content using the same harm categories that platforms have to report on under EU and UK regulation. The EU Digital Services Act requires regular transparency reports on content removal; the UK Online Safety Act requires risk assessments showing how platforms detect illegal content. Annotated data structured to these categories feeds those reports without remapping.
Can you support GenAI red-teaming and RLHF data annotation safety?
Yes. We support structured prompt-response pair labeling, harm-tier classification of generative outputs, and human-preference data collection for RLHF and related alignment workflows. This is structured data work, not generic prompt writing.
How is your approach different from other AI moderation vendors?
Generic moderation service providers optimize for hourly throughput. We are an AI data partner: our work feeds classifiers, evaluation suites, and RLHF pipelines, so consistency, inter-annotator agreement, and edge-case handling matter more than raw queue speed. Our delivery model is human-first with embedded QA.