OpenTrain AI
Data Labeling Solutions / Text Annotation

Hire Expert Text Annotators for Any Tool

Post a job and hire text annotators for classification, NER, sentiment, and content moderation in any platform. 70+ languages and experts in healthcare, finance, legal, and more. 100,000+ pre-vetted Data Labelers.

127,000+ vetted AI data experts
Why Choose Us

Why Top AI Teams Choose OpenTrain for Text Annotation

Annotators to QA Leads

Annotators, moderators, and QA reviewers for any project

Use Any Tool

Work inside any labeling platform or internal environment

Any Domain or Language

Healthcare, finance, legal, and more across 70+ languages

Integrations

Hire for Any Text Labeling Platform or Internal Tool

View All Integrations

Have your own tooling? Our talent works directly in your platform.

127,000+

Pre-Vetted Experts

180+

Countries

110+

Languages

How It Works

How OpenTrain Works for Text Annotation

Step 01

Post a Text Annotation Job & Receive Pre-Vetted Applicants

Describe your project and the skills you need. Receive proposals from text annotators, content moderators, and QA reviewers with proven experience in your domain.

Step 02

Hire and Add to Any Labeling Platform

Review candidates, make your hires, and invite them to any annotation tool or your internal environment.

Step 03

Communicate and Pay in One Place

Share guidelines and taxonomies, message your team, and handle global payments from a single dashboard.

Start Building Your Text Annotation Team Today

Post your first job and connect with text annotators, content moderators, and QA reviewers who work inside any labeling platform or your own internal environment.

Self-Service

Post Your Text Annotation Job

Describe your requirements and receive a curated shortlist of domain experts matched to your project. 15% flat fee, no hidden markups.

Most popular
Managed Service

Full-Service, End-to-End

  • Recruiting & live vetting
  • Onboarding & training
  • Daily management & QA
  • Dedicated program lead
Global Talent Network

Consistent Labels Across Millions of Documents

NER drift and taxonomy inconsistency kill model performance at scale. Our text annotators maintain 95% inter-annotator agreement across large batches — because they're trained on your taxonomy before they start.

127,000+
Text Annotators
110+
NLP Task Types
95%
Avg. Agreement Score
FAQ

FAQs about Hiring for Text Annotation

Quick answers to common questions about text annotation projects and Data Labeler hiring on OpenTrain.