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Remote Data Collection Driver Jobs in Columbia, MO

Service Measure LLC

Mapping Driver

Jefferson City, MO · Remote

$16 - $18/hr

Our field data collection teams are spread across Europe and North America, ready to accept new ... Must have a valid Driver Licence; * Good driving skills and clean driving record; * General car ...

Quiktrak

Field Inspector

Columbia, MO · Remote

$1.5K/mo

Over the years, we've grown into one of the largest providers of floorplan audits, data collection ... Valid Driver's License (Required) United States Applicants Only

EquipmentShare

Senior Financial Systems Analyst

Columbia, MO · Remote

$81K - $101K/yr

This position is fully remote. The Senior Financial Systems Analyst to support Procure-to-Pay (P2P ... Use Python, AI, or automation tools where appropriate to improve data validation, document review ...

Centene

Senior Manager, Medical Loss Ratio

Columbia, MO · On-site +1

... data sources through final filing outputs. * Oversees MLR performance monitoring and threshold management; interprets drivers, evaluates emerging risk, and sponsors mitigation strategies and ...

memployersmins

Staff Accountant (Remote)

Saint Louis, MO · Remote

$53K - $70K/yr

Analyze financial data and identify variances, trends, and discrepancies. * Support the preparation ... Valid driver's license Company Culture and Values At MEM Insurance, we are committed to our vision ...

All JobsData Collection Driver JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in Columbia, MO

Remote Data Collection Driver information

See Columbia, MO salary details

$15

$24

$30

How much do remote data collection driver jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote data collection driver in Columbia, MO is $24.08, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $24.71 per hour, depending on experience, location, and employer.

What is a remote data collection driver?

Remote Data Collection Drivers are professionals who operate vehicles equipped with specialized sensors or devices to gather data for various purposes, such as mapping, traffic analysis, or infrastructure assessment. Unlike traditional drivers, their primary responsibility is to follow predetermined routes while ensuring accurate data collection, often working independently and reporting findings digitally. This role may include using GPS equipment, cameras, or other technology to record information, and it often allows for flexible or remote scheduling. Remote Data Collection Drivers are typically employed by companies involved in geographic information systems (GIS), urban planning, or autonomous vehicle development.

What are the key skills and qualifications needed to thrive as a remote data collection driver?

To thrive as a Remote Data Collection Driver, you need a valid driver's license, a clean driving record, and strong navigation skills, often supported by familiarity with GPS and mapping technologies. Proficiency with mobile data collection devices, onboard cameras, and reporting software is typically required. Attention to detail, reliability, and strong time management help ensure accurate data collection and adherence to schedules. These skills are crucial for safely and efficiently gathering high-quality geographic or survey data to support organizational needs.

What are some common challenges faced by remote data collection drivers, and how can they be addressed?

Remote Data Collection Drivers often encounter challenges such as navigating unfamiliar routes, dealing with varied weather conditions, and ensuring data accuracy while on the move. To overcome these, drivers should familiarize themselves with route planning tools, maintain regular communication with their support team, and follow best practices for data verification. Staying organized and proactive helps ensure data is collected efficiently and safely, and most companies provide training and support to help drivers handle these challenges.

What is the difference between Remote Data Collection Driver vs Field Data Collector?

AspectRemote Data Collection DriverField Data Collector
CredentialsDriver's license, possibly a background checkSimilar credentials, often including a valid driver's license
Work EnvironmentPrimarily remote, traveling between locations, often using a vehicleOn-site at data collection points, often in various field locations
Employer & IndustryResearch firms, survey companies, market researchResearch organizations, government agencies, market research

The Remote Data Collection Driver and Field Data Collector roles share similarities in credentials and industry usage. The main difference lies in the work environment: Remote Data Collection Drivers primarily travel between locations using a vehicle, often working remotely, while Field Data Collectors typically work on-site at specific locations. Both roles are essential for gathering data in research and market analysis, but their daily tasks and settings differ significantly.

What are popular job titles related to Remote Data Collection Driver jobs in Columbia, MO?

For Remote Data Collection Driver jobs in Columbia, MO, the most frequently searched job titles are:

What job categories do people searching Remote Data Collection Driver jobs in Columbia, MO look for?

The top searched job categories for Remote Data Collection Driver jobs in Columbia, MO are:

What cities near Columbia, MO are hiring for Remote Data Collection Driver jobs?

Cities near Columbia, MO with the most Remote Data Collection Driver job openings:

Remote Data Collection Driver jobs near you
Infographic showing various Remote Data Collection Driver job openings in Columbia, MO as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $50,092 per year, or $24.1 per hour.

Data collector / Driver in Columbia, MO

TSMG

Columbia, MO • Remote

Full-time

Re-posted 10 days ago

Job description

Company description
 
Service Measure (SM) is a field data collection company founded in 2013 in New York. 
 
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
 
Project objective
 
The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
 
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. 
 
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
 
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.

Company description

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. 

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project objective
The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.

The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones.

The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.

The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will.
Requirements:
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Must have private monitored parking space for corporate vehicle;
  • Great communication and reporting skills;
  • Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
  • High level of responsibility;
  • Self-motivated and detail oriented; 
  • Must be able to successfully pass a background check (criminal and driving record).
Requirements
  • Must have a valid Driver License (driving experience, 1-2 yrs minimum)
  • Must have parking for a vehicle
  • Must be authorized to work in the US
  • Must pass the background check
  • Enjoys driving, with flexible schedule
  • Available for a minimum of 3 months
  • Responsible & Reliable
  • Good driving skills
  • Great communication skills
  • High level of responsibility
  • General car knowledge
  • Tech savvy (smartphone and basic apps)
  • Basic computer skills
  • Self-motivated and detailed oriented
 
We would be happy to get to know you and your skills better and see how we can support each other's growth.
 
Please apply and let's meet!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.