Human-Labeled Data for AI & ML Teams
Your AI is only as
smart
as the data
behind it.
Bad training data doesn't just slow your AI — it poisons every model that learns from it. We deliver human-labeled data at scale, built to the precision standards your AI actually needs.
10+
YEARS IN OPERATION
1,600+
ACTIVE PROFESSIONALS
200+
CLIENTS SERVED
5000
JOBS FOR FILIPINOS BY 2030
THE REAL PROBLEM
Most AI teams are training
on data they haven’t verified.
Crowdsourced annotations are cheap for a reason. They introduce errors that compound as your model trains — and by the time you notice, you've wasted months and budget.
Inconsistent Labels
Crowdsourced platforms pay per task. Speed beats accuracy every time. Your model learns the wrong patterns — and you don't find out until production.
Endless Rework Cycles
Low-quality annotations force your ML engineers to audit, reject, and re-queue batches — burning the time of your most expensive team members.
Models That Don't Generalize
A model trained on noisy data hits a ceiling early. It performs well in demos and fails in the real world — right when it matters most.
WHY TELEWORK PH
The difference is in
how we train the trainers.
We don't pull from a generic crowdsourcing pool. Every annotator is screened, trained for your domain, and held to measurable quality benchmarks before they touch a single label.
01
Dedicated, Domain-Trained Teams
Your project gets a dedicated pod — not a random crowd. Annotators are trained on your guidelines and stay with your project from start to finish, so quality compounds over time.
02
Multi-Layer Quality Control
Every batch goes through task-level review, team-lead audit, and manager sign-off before delivery. We target 98%+ inter-annotator agreement — measurable, not just promised.
03
Full Transparency at Every Step
You get task completion reports, error rate breakdowns, and weekly reviews. No black box. You see exactly what your team is doing and where quality stands at any moment.
04
Scalable Without Quality Trade-offs
Our talent pool spans 1,600+ trained professionals. When you need to scale fast, we add from a pre-vetted bench — not from a cold-start recruitment process.
05
Direct Access to Your Annotators
Unlike black-box platforms, you communicate directly with your annotation team. When requirements shift, your team adapts — no re-submitting tickets to a faceless queue.
06
Long-Term Reliability
10+ years across US and Australian markets. We understand compliance, NDAs, and IP protection — and we deliver at enterprise volume without cutting corners.
SIDE-BY-SIDE
How we do it differently.
The same annotation can cost the same price — but the long-term cost of rework, failed models, and delayed launches is where the real difference shows.
| FEATURE | Crowdsourcing Platforms | Generic Offshore Teams | Telework PH | Annotator Consistency | Rotates randomly per task | Variable — depends on turnover | Dedicated pod per project |
|---|---|---|---|
| Domain Training | Basic platform tutorial only | Sometimes available on request | Custom onboarding + guidelines |
| Quality Review | Algorithmic consensus only | Basic QA, limited layers | 3-layer human review process |
| Rework Rate | 15%-30% rejects common | 10%-20% depending on task | Target under 2% reject rate |
| Reporting | Limited dashboard metrics | Weekly summary reports | Real-time dashboard + weekly review |
| Scalability | High volume, low consistency | Moderate — hiring-dependent | 1,600+ pre-vetted on demand |
| IP & NDA Coverage | Platform-level only | Varies | Fully covered, project-by-project |
WHAT WE ANNOTATE
Four data types.
One accountable team.
Whether you're training a computer vision model, a voice assistant, or an NLP classifier — we cover the full range with the same quality standards across every type.
Image Annotation
Bounding boxes, semantic segmentation, polygon annotation, keypoint labeling, and classification — built for computer vision, robotics, and medical imaging.
Voice Annotation
Transcription, speaker diarization, intent labeling, and sentiment tagging for voice-based AI — built for accuracy in English and Filipino language environments.
Audio Annotation
Sound event detection, music tagging, noise classification, and timestamps for audio AI — including automotive, smart devices, and media content models.
Text Annotation
Named entity recognition, intent classification, document categorization, PII redaction, and sentiment labeling for NLP at the volume and consistency large language models demand.
THE PROCESS
From sample to
production-ready in days.
We remove the onboarding friction. You don't need to write annotation playbooks from scratch — we build them together with your ML team.
01
01
Discovery Call
We scope your annotation requirements, data volume, and quality benchmarks. You walk away with a clear cost and timeline estimate — same day.
02
02
Team Setup & Training
We assign a dedicated pod and train them on your labeling guidelines, edge cases, and domain context. No annotation begins until the team passes your quality bar.
03
03
Pilot Batch
We deliver a 500–1,000 item sample for your review before full production. You validate quality — then we scale.
04
04
Production & Review
Full delivery with weekly reporting, quality dashboards, and dedicated account management. You always know where your data stands.
WHO WE SERVE
Built for teams that
ship AI at scale.
We work with AI product companies, research labs, enterprise ML teams, and startups — across industries where data accuracy is non-negotiable.
Autonomous Vehicles
LiDAR, road object detection, lane segmentation
Healthcare & Medical AI
Medical imaging, clinical NLP, radiology annotation
E-commerce & Retail
Product tagging, visual search, recommendation systems
Security & Surveillance
Object tracking, anomaly detection, behavior analysis
Conversational AI
Chatbot training, intent labeling, dialogue classification
Fintech & Compliance
Document review, fraud detection, regulatory NLP
WHY LEADERS CHOOSE US
10 years of building
trust through delivery.
We don't compete on price. We compete on what happens when you deploy a model trained on our data versus everyone else's.
98%+ Accuracy Target
We define a measurable accuracy threshold with every client before production begins. If we miss it, we fix it — at our cost, not yours.
Data Security & NDA
All annotators sign NDAs and operate under strict data security protocols. We handle proprietary datasets with full chain-of- custody documentation.
Fast Deployment
Our pre-vetted bench means we staff and train a dedicated pod in days — not weeks. You don't lose sprint cycles waiting for us to get started.
Custom Ontology Support
We build and document your label taxonomy from scratch if needed. Your guidelines are version-controlled and audited with every batch.
Filipino Excellence
Our annotators are university-educated, English-proficient professionals who are deeply invested in the quality and consistency of their work.
Volume Without Quality Drops
From 10,000 to 10 million annotations — our QA process scales with volume. We add reviewers proportionally so error rates stay flat as throughput grows.
COMMON QUESTIONS
Answers before you book the call.
NO COMMITMENT REQUIRED TO START
See the quality
before you commit.
Get a free sample dataset annotated to your spec — 500 items, your guidelines,
reviewed by our quality team. See exactly what consistent, verified annotation
looks like before we talk pricing.