Crowdsourcing is an increasingly popular method for organizational and occupational health research. Amazon's Mechanical Turk (MTurk) is at the forefront of this trend, but few studies have examined the labor market characteristics of MTurk workers (Turkers) or results of organizational and occupational health data as compared to published benchmarks. To address these gaps, we review the current MTurk literature and present the results of a multi-wave study of Turker labor characteristics and organizational and occupational health variable relationships. We found Turkers to be broadly distributed across the labor market, indicating MTurk is a viable option for both generalizable and understudied samples, as well as a source for targeted occupational sectors. Additionally, we found effect size magnitudes to be comparable to published benchmarks, and data displayed high levels of test-retest reliability and stability of relationships across time. Our results support the use of MTurk as a viable source for organizational and occupational health research assuming general methodological concerns and validity threats are addressed (see Cheung et al. Journal of Business and Psychology 1-15, 2016).Keywords Crowdsourcing . Mechanical Turk . Occupational health research . Organizational research . Survey research Amazon's Mechanical Turk (MTurk) is a virtual labor marketplace where "requesters" create Human Intelligence Tasks (HITs) for "workers" to complete for monetary compensation. There are two primary actors on MTurk -requesters (requesters create HITs) and workers (workers complete HITs). Requesters are analogous to employers in an organizational context or researchers in a research context, while workers are Occup Health Sci (2018) 2:83-98 https://doi