Welcome to EverybodyWiki ! Nuvola apps kgpg.png Log in or create an account to improve, watchlist or create an article like a company page or a bio (yours ?)...


From EverybodyWiki Bios & Wiki

Sequence is a micro-tasks crowdsourcing[1] company based in Birmingham (UK). It is specialised in providing human judgments for data related tasks particularly for the artificial intelligence industry.

The platform is a combination of technological product and remote workforce that help companies and data scientists to prepare their datasets to train their algorithms for machine learning. This online[2] solution connects requesters (artificial intelligence companies) and contributors (human workforce[3]) through an integrated project management platform.


Sequence.work was founded in 2018[4] by Mabel Tan, Andy Ngo, Luc Leray and Charles Morizot. Before creating Sequence.work, they worked together at Supahands, a crowdsourcing company based in Malaysia as the following positions.

Service offering[edit]

Image and video annotation for machine learning algorithms, Text Annotation & Transcription for OCR, Data Tagging and Categorisation, Data validation, Data enrichment and Data comparison.

A voir[edit]

  • Amazon Mechanical Turk
  • CrowdFlower
  • Playment


  1. Narula, Prayag. "Tech Companies Need To Stop Working The Crowd And Let The Crowd Work". Forbes. Retrieved 2018-04-26.
  2. "Sequence.work Traffic, Demographics and Competitors - Alexa". www.alexa.com. Retrieved 2018-04-26.
  3. Merrick, Amy. "Walmart's Future Workforce: Robots and Freelancers". The Atlantic. Retrieved 2018-04-26.
  4. "Sequence.work | Crunchbase". Crunchbase. Retrieved 2018-04-26.


This article "SEQUENCE.WORK" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:SEQUENCE.WORK. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.

Farm-Fresh comment add.png You have to Sign in or create an account to comment this article !<comment-streams/>