Frequently Asked Questions

Yes, our data labeling platform provides labeling tools and an elite data labeling workforce in 30+ languages. We believe that finding high-quality labelers at scale with the skills needed for your particular tasks is one of the most challenging aspects of data labeling. So unlike other data labeling companies, we don’t outsource our workforce – we fully manage it ourselves, which means higher quality and lower costs.

Yes, we provide rich labeling tools in addition to our high-quality, large-scale workforce. Our WYSIWYG editor allows anyone – even non-technical members of your team – to easily create data labeling templates to show to labelers. These fully customizable data labeling templates allow you to define instructions, present your data to labelers, and create as many multiple-choice, checkbox, and free response questions as you want. You can also create bounding boxes, named entity recognition tagging, relationship tagging, conversational chatbot dialogues, and more.

As many as you want. There are no limits. You can combine image questions with text questions with free response questions with open-ended research. Some of our customers run “tasks” that can individually take hours, like writing long article summaries to train summarization algorithms, researching misinformation for content moderation, or coding Python programs to train neural synthesis programs.

Yes, our API allows you to programmatically create, monitor, and retrieve projects, and is interchangeable with our WYSIWYG frontends.

Yes, we also offer a fully managed service for companies and research labs with more complex needs. We’ll help you write labeling guidelines, build custom data labeling teams, recruit for any skills you need, design custom quality controls, help you manage volume and quality SLAs, and provide a dedicated project manager and 24/7 support.

Reach out to team@surgehq.ai for more details.

Yes, we’re always happy to help you create great labeling guidelines.

We have a powerful suite of quality controls, including gold standards, outlier detection, AI-assisted labeling, custom data labeling teams, multiple labelers, dynamic matching, and more. Reach out to support@surgehq.ai for more details.

Yes, we can also help you gather data from scratch, including audio collection, video collection, photography collection, and more. Reach out to support@surgehq.ai for more details.

Yes, you can build as many custom data labeling teams as you’d like, and use them or combine them in your projects.

Yes, our platform provides robust chat and messaging controls.

Yes, you can give labelers an exam they must pass before they can work on your projects. Surgers who perform particularly well can also be added to a custom data labeling team.

Yes, many of our customers run projects where they require results to be returned in seconds or minutes. If you have low-latency SLAs, reach out to support@surgehq.ai to discuss more.

We support 30+ languages, including: English, Spanish, French, German, Japanese, Portuguese, Arabic, Korean, Mandarin, Turkish, and Amharic.

If you need extra language support, reach out to support@surgehq.ai.

Unlike typical data labeling companies and BPOs that outsource their data labeling to low-skilled labelers in third world countries who have minimal command of English or other languages, we build our workforce out of highly skilled and educated native speakers.

For example, our Surgers come from all walks of life – whether they’re stay at home parents, teachers looking to earn extra money after school, Ivy League students paying their way through college, or software engineers interested in advancing AI.

Our personalization engine matches Surgers with the skills your data labeling projects need. This means that not only do we use native English speakers for your English labeling projects (as crazy as this sounds, this is rare in the data labeling world), native Spanish speakers for your Spanish labeling projects, and so on – but we also use Surgers with accounting and finance backgrounds for your financial categorization projects, actual Twitter users for your tweet labeling projects, gamers for projects labeling gaming messages, software engineers and CS grads for training coding AI assistants, and so on.

If you need special skills and backgrounds, just ask!

We support any labeling task you imagine, from simple to complex.

For example, on the simple end, you can run image categorization projects, text categorization projects, tweet labeling projects, etc.

For example, on the complex end, you can run hate speech labeling projects with 50+ pages of guidelines, search evaluation projects, misinformation research projects, projects that require labelers with advanced CS and STEM degrees, projects to evaluate the quality of large language models, etc.