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Remote Data Collection Jobs in Aurora, CO (NOW HIRING)

RES

Geospatial Technician

Denver, CO · On-site +1

$24.05 - $30.06/hr

The Geospatial Technician supports collection, processing, analysis and interpretation of geospatial data and remote sensing data. The Geospatial Technician travels to projects as a drone pilot and ...

JLL

Data Analytics, Technical Director

Denver, CO · Remote

This is a remote position with up to 25% domestic travel. This role leads team management and ... Works with leadership to streamline the entire process, from data collection to upload into the ...

Woolpert

Remote Sensing Technician

Denver, CO · On-site +1

Position Overview Woolpert is hiring a Remote Sensing Technician to join our dynamic Geospatial ... Ensuring proper collection of data for accuracy and quality. * Experience with bathymetric or ...

Eliassen Group

Product/Data Analyst

Greenwood Village, CO · Remote

$50 - $60/hr

Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks a Product/Data Analyst to ... Partner with engineering, data, and product teams to ensure accurate data collection and reporting.

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How much do remote data collection jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data collection in Aurora, CO is $25.71, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $26.39 per hour, depending on experience, location, and employer.

What is remote data collection?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What does a typical workday look like for remote data collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What are the key skills and qualifications needed to thrive in remote data collection?

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What are popular job titles related to Remote Data Collection jobs in Aurora, CO?

For Remote Data Collection jobs in Aurora, CO, the most frequently searched job titles are:

What job categories do people searching Remote Data Collection jobs in Aurora, CO look for?

The top searched job categories for Remote Data Collection jobs in Aurora, CO are:

What cities near Aurora, CO are hiring for Remote Data Collection jobs?

Cities near Aurora, CO with the most Remote Data Collection job openings:

Remote Data Collection jobs near you
Infographic showing various Remote Data Collection job openings in Aurora, CO as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $53,478 per year, or $25.7 per hour.

Project Manager - Aerial Geospatial Operations & Delivery

Robotic Data (FKA Voxelmaps)

Denver, CO • Remote

$130K - $140K/yr

Full-time

Posted 3 days ago

New

Job description

Robotic Data is seeking an experienced Project Manager – Aerial Geospatial Operations and Delivery to lead end-to-end aerial data collection and geospatial delivery programs. This role owns project execution from planning and airborne collection through processing, QA/QC, delivery, and client acceptance.

The successful candidate will bridge technical collection teams, delivery operations, and clients while ensuring projects remain on schedule, within budget, and aligned to operational and quality objectives.
Responsibilities:
  • Lead full lifecycle management of aerial geospatial programs from planning through final delivery.
  • Own aerial collection operations including scheduling, flight coordination, collection readiness, and field execution either directly or via the Robotic Data partner network.
  • Manage delivery teams responsible for imagery, LiDAR, photogrammetry, GIS, and mapping outputs.
  • Develop and maintain project plans, schedules, budgets, and resource forecasts.
  • Utilize Smartsheet to manage dependencies, dashboards, schedules, reporting, and governance.
  • Coordinate cross-functional teams across operations, processing, engineering, and client delivery for multiple Partners.
  • Track project financials including forecasting, invoicing, margin performance, and collections.
  • Implement project KPIs and executive reporting.
  • Drive QA/QC processes and client acceptance.
  • Identify operational risks and implement mitigation plans.
  • Support proposals, estimates, and business development activities.
  • Travel up to 10% as required.
Required Skills:
  • Bachelor’s degree or equivalent professional experience.
  • Minimum 5 years’ project management experience or 10 years’ related experience.
  • 8–10+ years of geospatial, aerial mapping, or remote sensing experience.
  • Deep understanding of aerial mapping, remote sensing, LiDAR, imagery, GIS, and photogrammetry workflows.
  • Experience in managing field operations and geospatial delivery teams.
  • Strong financial, organizational, and stakeholder management skills.
  • Smartsheet experience required.
  • Excellent communication and leadership capability.
Preferred Qualifications:
  • PMP preferred.
  • ASPRS CP, CMS, or GISP certification preferred.
  • Experience supporting machine learning and large-scale mapping initiatives.
  • Experience working across distributed global teams.
Job Details:
  • Timeline: For immediate hire
  • Job Type: Full-time employee
  • Work Model: Remote
  • Schedule: Monday to Friday (availability across time zones required)
  • Salary: $130,000 to $140,000
  • Benefits: As required by law
  • Experience Required: 5+ years Project Management
DO NOT CONTACT THE HIRING MANAGER DIRECTLY, YOU MUST FOLLOW THE APPLICATIONS PROCESS
About Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.
EEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.

Disclaimer: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.

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