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Most current micro task crowd sourcing platforms do not exploit the individual expertise of workers, which becomes extremely relevant for knowledge-intensive micro tasks in human computation scenarios. In this paper, we discuss work in progress on worker profiling within micro task platforms to increase both the quality of the work and the satisfaction of the users. We analyse the issue of profiling workers and propose the introduction of a crowd worker CV as a comprehensive means to describe a worker's expertise and interests. We discuss several important dimensions that should be included in such a CV and analyse their benefits.