Data Labeling  for ML, part 3
Over 6 months ago, we started a series of stories on data labeling for ML, learning about the experience gained by engineers and entrepreneurs behind the leading data labeling solutions, Toloka, Snorkel, LabelBox, and more. 

We would like to check a few things with you via a simple survey. It will take about 5 minutes.

The first 300 respondents will receive a cheat sheet with 25+ materials on building AI business on data and a $50 promo code to kickstart their data labeling project! Happy Holidays! We appreciate your help.

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Email *
1. You are: *
Required
2. Industry you work in: *
Required
3. Rate your knowledge of the data labeling industry six months ago (on a scale from 1 to 5). *
4. Rate your knowledge of the data labeling industry now (on a scale from 1 to 5). *
5. Which data labeling solutions have you ever heard of?
6. Have you discovered any new data labeling solutions during the past 6 months? If yes, please list them.
7. Please choose THREE the most important factors that you seek in a data labeling solution *
Required
8. Would you trust the following solutions with data privacy & security? *
Yes
No
Haven’t had a chance to explore this solution
Toloka
Appen
CloudFactory
Scale AI
Amazon MTurk
SuperAnnotate
Playment
Snorkel
Sama
Labelbox
Kili
9. Please pick just 3 of the following attributes (high quality, results in record time, true scalability, cost-effectiveness, lots of relevant case studies, great client profile, data security, long industry experience, significant contributions to science and research, seamless integration into your ML pipelines) for the solutions below. If you don’t know anything about a solution, pick "N/A". *
N/A
high quality
results in record time
true scalability
cost-effectiveness
lots of case studies
great client profile
data security
long industry experience
contributions to science and research
seamless integration
Toloka
Appen
CloudFactory
Scale AI
Amazon MTurk
SuperAnnotate
Playment
Snorkel
Sama
Labelbox
Kili
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