Data labeling
Content moderation services and trust and safety data labeling
Policy-based review of images, video, text and marketplace listings, with clear escalation paths, and the labeled data you need to train safety classifiers.
- Pilot phase
- Two or more review layers
- You own every label
Consistent decisions, made by supported people.
Moderation is only as good as the consistency of its decisions. Two reviewers looking at the same borderline post should reach the same outcome, and that comes from clear policy, worked examples and regular calibration.
We staff moderation work with wellbeing in mind: opt-in assignment for disturbing content, exposure limits, rotation, breaks and access to counselling support.
Used for
- Marketplaces and classifieds
- Social and community platforms
- Training-data filtering
- Safety classifier training
- Brand-safety review
Industries: Retail & e-commerce · Generative AI & LLMs
What our content moderation covers
Combine any of these in one workflow and one guideline.
Live queue review
Approve, reject or escalate items against your policy, within agreed response times.
Marketplace listings
Prohibited items, misleading listings, counterfeit and fraud signals.
Safety classifier data
Labeled examples for toxicity, nudity, violence and spam models.
Policy testing
Edge-case sets that reveal gaps in your written policy.
Dataset cleanup
Filtering harmful or low-quality items out of training data.
Appeals review
Second-look decisions on user appeals.
Formats and tools
Delivery formats
- CSV
- JSONL
- Your moderation queue
Tools we work in
- Your moderation platform
- Label Studio
- Custom tools
Pricing
Image classification and moderation labels from $0.020 per item; live queue review is priced per reviewer hour.
How we keep it accurate
Every project runs on the same four-check QA process. See how our QA works.
Policy calibration
Weekly calibration on hard cases keeps decisions aligned across the team.
Escalation routes
Clear paths for legal, safety and ambiguous cases, agreed with you up front.
Wellbeing by design
Opt-in staffing, exposure limits and counselling for sensitive queues.
How a project runs
Scope and guidelines
We review a sample, agree classes, edge cases and acceptance criteria, and sign your NDA.
Certified team
Annotators pass a gold-set test before they are cleared for production.
Production and reporting
Batches with QA reports, in your format, on an agreed schedule.
Content moderation questions
Can you moderate in Swahili?
Yes. We review English, Swahili and code-switched content; other languages depend on reviewer availability.
How do you protect moderators?
Disturbing work is opt-in, with exposure limits, rotation, mandatory breaks and access to counselling support.
Do you provide 24/7 coverage?
Extended and night shifts can be scoped into your agreement depending on volume.
Can you help write our policy?
We can test your policy against real edge cases and suggest clarifications, but final policy decisions stay with you.
Send a sample. See the labeling quality first.
Share a few files and a line about your goals. A project lead replies within one business day with an approach, a timeline and a price.