Crowd Solutions Architect
Toloka is a crowdsourcing platform that unites millions of people around the world who collect and process data to deliver superior data solutions to customers globally.

Crowdsourcing is used in fields like machine learning, research, testing, technical support, and moderation. Our crowd-labeled data is essential for IT companies, marketplaces, banks, manufacturing and retail organizations, and our customers from other industries.

We're looking for Crowd Solution Architects to work on Toloka's global projects. You will build and automate a data production pipelines to deliver millions of high-quality labels daily.

Our ideal candidate is fluent in English, has excellent organizational skills, and is technically savvy. You'll learn the principles of crowdsourcing and become a highly valued expert in this fast growing market.

Tasks that await you

  • Prepare, test, and maintain data collection and handling processes
  • Evaluate the speed and quality of data collection
  • Conduct experiments and research, analyze results, and draw conclusions
  • Communicate with customers and crowd performers to solve their issues
  • Work with customers and partners from different parts of the world (US, Europe, Asia)

We expect that you

  • Fluent spoken and written English
  • Capable of processing large amounts of data
  • Proficient in Python, Java, or Groovy to write scripts
  • Communication skills for cooperating with software developers
  • Able to manage multiple projects at the same time
  • Negotiation skills: can control discussions, reach agreements, and record the results
  • Proactive in learning

It'd be a plus if you

  • Crowdsourcing experience
  • Familiar with machine learning concepts
  • Proven experience with HTML, CSS, and JavaScript
  • Capable of working on a team, prioritizing, and meeting deadlines
  • Flexible mindset for working in an atmosphere of rapid development, where requirements are constantly changing
Thank you for your apply!

We will contact you within a week.

Mon Feb 12 2024 19:00:36 GMT+0300 (Moscow Standard Time)