Find Quality Annotators at Scale
Screen thousands of candidates for domain expertise and attention to detail. Build reliable annotation teams faster than ever.
Book a DemoWhy Data Annotation Teams Choose Sourzer
Domain Expertise Testing
Verify candidates' knowledge and expertise in your domain before they touch your data. Testing this manually doesn't scale.
Attention to Detail
AI evaluates how carefully candidates review and respond to key indicators, helping you identify those who will be meticulous with your data quality.
Bulk Screening
Screen thousands of annotator candidates simultaneously. Sourzer processes them around the clock so you never have a bottleneck.
Quality Prediction
Identify candidates who are likely to produce high-quality annotations before you bring them onboard — reducing churn and rework.
From applicant to qualified annotator
Knowledge Assessment
Test domain knowledge with customized questions. Verify expertise before assignment — saving time and protecting data quality.
Comprehension Testing
Evaluate how well candidates understand instructions and follow complex guidelines — critical skills for any annotation task.
Scalable Vetting
Screen annotator pools of any size. Remove the bottleneck of manual reviews and onboard qualified talent at the pace you need.
Hear It Straight From Our Users
Here's what recruiters have to say about their experience — from faster sourcing to better candidate engagement.
“We went from manually screening 200 annotators per week to processing 2,000. The quality of our annotation team has never been higher.”
David Park
Head of Data Operations, LabelTech AI
“The domain expertise testing caught issues we would have missed until annotators were already working on sensitive data.”
Priya Sharma
VP of Quality, DataWorks Inc.
“Sourzer helped us build an annotation team of 500 qualified workers in under 3 weeks. Previously that took us 3 months.”
Carlos Rivera
Director of Annotation, AI Scale Corp
Yes. You can define custom knowledge assessments, comprehension tests, and evaluation rubrics specific to your annotation guidelines. The AI evaluates each candidate against your exact criteria.
Our AI conducts conversational assessments tailored to your specific domain — whether that's medical imaging, legal document review, or autonomous driving data. Candidates demonstrate real understanding, not just keyword matches.
There's no practical limit. Our platform has processed pools of 10,000+ annotator candidates for major data labeling companies. Screening runs 24/7 with results available in real-time.