ZipRecruiter

Log In

2

Remote Data Collection Driver Jobs in Laurel, MD

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Collection and Preparation : Establish protocols for collecting, cleaning, and preprocessing ...

Tuckernuck

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

This position can be based in our Washington, DC Headquarters office or remote. Core ... Ensure data collection respects customers' consent signals and complies with regional data ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... data collection, storage, and processing. * Monitoring & Maintenance: Ensure the integrity and ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... data collection, storage, and processing. * Monitoring & Maintenance: Ensure the integrity and ...

next page

Showing results 1-20

All JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in Laurel, MD

Remote Data Collection Driver information

See Laurel, MD salary details

$15

$25

$31

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

As of Jun 27, 2026, the average hourly pay for remote data collection driver in Laurel, MD is $25.09, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $25.72 per hour, depending on experience, location, and employer.

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 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 are Remote Data Collection Drivers?

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, and why are they important?

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 popular job titles related to Remote Data Collection Driver jobs in Laurel, MD? For Remote Data Collection Driver jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in Laurel, MD look for? The top searched job categories for Remote Data Collection Driver jobs in Laurel, MD are:
Remote Data Collection Driver jobs near you
Infographic showing various Remote Data Collection Driver job openings in Laurel, MD as of June 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 100% Remote job distribution, with an average salary of $52,191 per year, or $25.1 per hour.
Data Analytics Developer - Education & Employment (Remote Eligible)

Data Analytics Developer - Education & Employment (Remote Eligible)

Mathematica

Washington, DC • On-site, Remote

Other

Posted 21 days ago

Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We areseeking an intellectually curious Data Analytics Developer inany of our locations with experience in data management and statisticalprogramming for data analytic and research projects in the Education andEmployment area. The Data Analytics Developer will contribute to intensive datawrangling, advanced programming, administrative data collection and/or datamanagement tasks. They will also apply knowledge of programs, policy, and/ordata content, as well as econometric and statistical methods, when theyacquire, clean, manipulate, manage, and analyze data. These tasks will mostoften be accomplished using a combination of statistical programming packageslike R and Stata, as well as SQL and Python, on both cloud-hosted and moretraditional platforms. Individuals with an interest in confronting thechallenges of working with large, complex data sets, an interest in datamanipulation and analysis, and a desire to become a subject matter expert in educationand employment data are strongly encouraged to apply.

Responsibilities:

  • Write programs in R, Stata, or Python to extract, transform, and wrangle data; create variables for use in analysis.
  • Perform statistical analyses and prepare tables, graphs, and visualizations
  • Providing creative and best practice solutions for data processing optimization
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found

Apply