This evergreen posting builds a pipeline of candidates for future Field Data Collector opportunities. The Field Data Collector conducts interviews in person, often in respondents’ homes, and gathers information supporting research on healthcare, education, workforce development, and other topics that shape public policy. The role involves working independently in the field, meeting people from diverse backgrounds, and accurately documenting information. Candidates conversationally bilingual in English and Spanish are strongly encouraged to apply. Applications will be reviewed as hiring needs arise, and qualified candidates may be contacted about future opportunities. This is intermittent field work with a flexible, part-time schedule of 20–25 hours per week, including weekday, evening, and weekend shifts. Field work may include making cold contacts by phone and in person, and conducting interviews by phone or in person at respondents’ homes, jobs, or other public places. Candidates must live within 100 miles of the location shown in the posting and have a valid driver’s license, automobile insurance, and reliable transportation. Pay is $19.00–$28.41 per hour, based on experience and geographic location. After completing certification, bilingual employees receive an additional $1.00 for each hour worked. Intermittent staff are eligible for a 403(b) retirement plan, paid sick leave, paid holidays, paid orientation and training, free counseling and referrals through NORC’s Employee Assistance Program, and discount programs such as travel and electronics. NORC at the University of Chicago is an objective, non-partisan research institution that produces data and analysis for programmatic, business, and policy decisions. Established in 1941, NORC conducts research, develops and applies methods and tools, and advances scientific integrity and collaboration. NORC is an equal opportunity employer and evaluates qualified applicants without regard to protected characteristics.
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Job Type
Part-time
Education Level
High school or GED