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Driver/Data Collector in Tucson, AZ

Service MeasureTucson, AZ
On-site Contract

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Experience Level

Entry Level

Qualifications

Qualifications:Strong knowledge of the Tucson area and traffic patterns. Proven reliability and responsibility in job duties. Enjoyment of driving and willingness to travel on assigned routes.

About the job

Join Our Team as a Driver/Data Collector!

At Service Measure (SM), we are pioneers in field data collection, established in 2013 in New York. Our dedicated teams are committed to gathering crucial data in areas where automation is not feasible. We meticulously capture features, photograph, video, and record audio, ensuring that you have every detail necessary to make informed decisions. With teams located across Europe and North America, we are always ready to tackle new challenges!

About the Project

Our mission is to enhance one of the most popular online maps in the world by collecting high-quality images of streets, landmarks, and public spaces throughout the USA. You will drive specially equipped vehicles with 360-degree cameras, capturing images of the surroundings and storing them for further analysis. Your routes will focus on commercial districts and historical sites, and may require multiple visits to ensure optimal image quality, especially in varying weather conditions. This project is expected to last between 3 to 6 months and will cover various data collection areas.

If you have a passion for driving, a solid understanding of the Tucson area and its traffic trends, and are highly responsible and dependable, we want you on our team!

Schedule

Work hours are Monday to Friday, 8 hours per day, totaling 40 hours per week. Please note that due to potential weather-related interruptions, weekend work may be required.

About Service Measure

Service Measure is a leader in field data collection, delivering precise data solutions since 2013. Our innovative team is dedicated to capturing high-quality data where automation is not feasible, supporting businesses in making data-driven decisions.

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