April 28, 2022, 1:11 a.m. | Guangyang Han, Sufang Li, Runmin Wang, Chunming Wu

cs.LG updates on arXiv.org arxiv.org

Crowdsourcing is an online outsourcing mode which can solve the current
machine learning algorithm's urge need for massive labeled data. Requester
posts tasks on crowdsourcing platforms, which employ online workers over the
Internet to complete tasks, then aggregate and return results to requester. How
to model the interaction between different types of workers and tasks is a hot
spot. In this paper, we try to model workers as four types based on their
ability: expert, normal worker, sloppy worker and …

arxiv crowdsourcing workers

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Data Engineer - Takealot Group (Takealot.com | Superbalist.com | Mr D Food)

@ takealot.com | Cape Town