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Remote Data Collection Driver Jobs in Willowbrook, IL

Promoted2

Remote Insurance Agent

Chicago, IL · Remote

$60K - $110K/yr

By applying, you consent to the collection and use of your personal information for recruitment ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Promoted2

Remote Insurance Agent

Chicago, IL · Remote

$60K - $110K/yr

By applying, you consent to the collection and use of your personal information for recruitment ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Grainger Businesses

Senior Data Scientist

Chicago, IL · On-site +1

$103K - $172K/yr

... and the ranges for remote candidates are $95,900 - $159,800 . This role is eligible for an ... and identifying the drivers of digital performance You will * Build tools to automate and ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ... For information about ZipRecruiter's collection and processing of job applicant personal data for ...

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ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ... For information about ZipRecruiter's collection and processing of job applicant personal data for ...

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Five to Nine

Operations Coordinator

Chicago, IL · On-site +1

We're remote, scaling quickly, and were funded by Google and Slack. WHO OUR CLIENTS ARE: Our ... Manage timely data collection to update operations metrics to achieve productivity targets, reduce ...

Hansoninc

Cultural Resource Specialist

Lisle, IL · On-site +1

$60K - $80K/yr

Perform field investigations, data collection, and documentation in accordance with professional ... Valid driver's license and ability to travel for field assignments. Preferred Qualifications

Hansoninc

Cultural Resource Specialist

Chicago, IL · On-site +1

$60K - $80K/yr

Perform field investigations, data collection, and documentation in accordance with professional ... Valid driver's license and ability to travel for field assignments. Preferred Qualifications

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ... For information about ZipRecruiter's collection and processing of job applicant personal data for ...

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ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ... For information about ZipRecruiter's collection and processing of job applicant personal data for ...

New

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ... For information about ZipRecruiter's collection and processing of job applicant personal data for ...

New

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ... For information about ZipRecruiter's collection and processing of job applicant personal data for ...

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All JobsData Collection Driver JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in Willowbrook, IL

Remote Data Collection Driver information

See Willowbrook, IL salary details

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

As of Aug 14, 2026, the average hourly pay for remote data collection driver in Willowbrook, IL is $25.03, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $25.67 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 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 cities near Willowbrook, IL are hiring for Remote Data Collection Driver jobs?

Cities near Willowbrook, IL with the most Remote Data Collection Driver job openings:

Remote Data Collection Driver jobs near you

Assistant Physicist

Argonne National Laboratory

Lemont, IL • On-site, Remote

Full-time

Re-posted 3 days ago

Job description

The X-ray Imaging Group (https://www.aps.anl.gov/Imaging) of the X-ray Science Division (XSD) operates the full-field x-ray imaging beamlines at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) and pursues collaborative research across materials, energy, environmental, geo-, and life sciences using micro- and nano-tomography and high-speed imaging.

With the APS Upgrade driving a substantial increase in data rates and experimental complexity, the group is investing in AI/ML-driven software, automation, and autonomous experimentation, including a planned fully autonomous, AI-driven tomography beamline - to keep pace with user demand and unlock new science. This work is carried out in close coordination with the APS Computational science and AI (CAI) (https://cai.xray.aps.anl.gov/) group and other APS AI efforts and activities spanning data, computing, and machine learning across the facility. The appointee will benefit from access to world-leading experimental and computational resources at Argonne, including the upgraded APS and the exascale Aurora supercomputer.

We seek highly motivated candidates with strong expertise in AI/ML and in the development of AI tools for scientific operations to join the X-ray Imaging Group. The successful candidate will lead the design and deployment of AI-powered software that supports user operations, automates data acquisition and analysis, and enables closed-loop, autonomous experiments across the group's beamlines.

Position Responsibilities:

  • Design, develop, and deploy AI/ML tools for x-ray imaging operations including reconstruction, super-resolution, spatiotemporal fusion, denoising, segmentation, and feature extraction - and integrate them into the beamline software stack.

  • Build closed-loop experimental workflows in which AI agents use streaming data and real-time reconstruction and analysis to steer measurement decisions, and contribute to the development of a fully autonomous, AI-driven tomography beamline as a flagship project for the group.

  • Collaborate with the APS Computation and AI (CAI) group and engage with other APS AI efforts and activities to align Imaging Group tools with facility-wide AI/ML infrastructure, data services, and computing resources, and to contribute to shared frameworks for autonomous experimentation.

  • Develop automated pipelines for acquisition, quality control, and downstream analysis that translate beamline-scientist expertise and currently manual operational steps into robust, reusable software.

  • Build and maintain pipelines for robust metadata capture and the systematic generation of curated, standardized datasets to support continual AI/ML model training and validation.

  • Provide on-site support for user operations and data collection across the X-ray Imaging Group beamlines, working directly with beamline staff and users during experiments.

  • Contribute to the longer-term extension of AI-enabled automation and autonomy across Imaging Group modalities, including micro- and nano-tomography and high-speed imaging.

  • Prepare experiments and instruments for remote and AI-driven operation.

  • Present research results through publications, conferences, and scientific meetings.

  • May be required to perform other duties as assigned.

Position Requirements

  • Ph.D. in computer science, electrical engineering, computational physics, computational materials science, applied mathematics, or a closely related field.

  • Demonstrated expertise in AI/ML applied to imaging or scientific data, including hands-on experience developing and deploying deep-learning models (e.g., CNNs, vision transformers, diffusion models, or related architectures).

  • Strong scientific software development skills in Python and modern deep-learning frameworks (e.g., PyTorch, TensorFlow), including experience with distributed training on high-performance computing resources.

  • Experience with high-performance computing (HPC) and/or cloud environments.

  • Experience with version control (e.g., Git) and collaborative software development practices.

  • Experience working with experimental imaging data, ideally at a synchrotron, electron microscopy, medical imaging, or comparable facility.

  • Ability to work effectively both independently and in a collaborative, team-based research environment.

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

  • Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.

Preferred Knowledge, Skills, and Experience

  • Experience developing AI/ML methods specifically for x-ray imaging, tomography, or high-speed imaging applications.

  • Experience designing or contributing to automated, remote, or closed-loop ("self-driving") experimental workflows, including real-time data reduction, on-the-fly reconstruction, and AI-based experimental steering.

  • Experience collaborating with facility-level computing, data, or AI groups to deploy software into production scientific environments.

  • Experience handling high-rate, large-volume imaging datasets and developing high-throughput reconstruction or analysis pipelines.

  • Experience contributing to open-source scientific software projects.

  • Familiarity with metadata standards, data management, and curation practices that support reproducible science and ML training datasets.

  • Familiarity with beamline data acquisition systems, detectors, or controls software, sufficient to integrate AI tools into operational workflows.

Job Family

Research Development (RD)

Job Profile

Physics 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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