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Driver / Data Collector

Service MeasureSyracuse, NY
On-site Contract

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Experience Level

Entry Level

Qualifications

Qualifications:Valid driver’s license and clean driving record. Strong familiarity with the Syracuse area and its traffic trends. Ability to work independently and maintain high standards of quality in data collection. Excellent time management skills and reliability.

About the job

Join Our Team as a Driver / Data Collector

Service Measure (SM) is a leading field data collection company established in 2013 in New York. We specialize in gathering detailed information in scenarios where automation falls short. Our team captures a variety of data, including counting features, taking photographs, recording videos, and scanning areas to provide you with the insights necessary for making informed decisions. With a presence across Europe and North America, our field data collection teams are always ready to tackle new challenges.

Project Overview

Our current project focuses on capturing high-quality images of streets, key points of interest, and public spaces throughout the USA. Utilizing cars equipped with 360-degree cameras, we will document the surroundings and store this data for enhancing one of the world's most popular online mapping services. Data collectors will be assigned specific routes through public streets, particularly in commercial districts and historical locations. Due to unpredictable weather conditions, some areas may require multiple visits to ensure the best image quality. The project duration is anticipated to be between 3 to 6 months, covering various data collection areas.

The ideal candidate is enthusiastic about driving, possesses a strong knowledge of local traffic patterns, and demonstrates exceptional responsibility and reliability.

The expected work schedule is Monday to Friday, 40 hours per week, with potential weekend work due to weather-related delays.

About Service Measure

Service Measure (SM) is at the forefront of field data collection, delivering precise insights where automation is not feasible. Our dedicated teams are committed to excellence in data gathering across diverse geographic regions.

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