Qualification Labour: A Fair Wage Isn't Enough if Workers Need to Do 5,000 Low Paid Tasks to Qualify for Your Task

Abstract

Extensive work has argued in favour of paying crowd workers a wage that is at least equivalent to the U.S.~federal minimum wage. Meanwhile, research on collecting high quality annotations (e.g.~for Natural Language Processing) suggests using qualifications such as a minimum number of previously completed tasks. If most requesters who pay fairly use this kind of minimum qualification, then workers may be forced to complete a substantial amount of poorly paid work for other requesters before they can earn a fair wage. This paper (1) explores current conventions for the threshold, (2) discusses possible alternatives, and (3) presents a study of correlation between approved work and work quality.

Publication
The eighth AAAI Conference on Human Computation and Crowdsourcing
Jonathan K. Kummerfeld
Jonathan K. Kummerfeld
Postdoctoral Research Fellow

Postdoc working on Natural Language Processing.