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Remote Data Collection Associate Jobs in Denver, CO

... data collection, and helping translate research plans into published outputs and high-impact ... This role is full-time and open to NYC-based or remote candidates. Our office is located in ...

Geospatial Technician

Denver, CO ยท 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 ...

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 ...

Oracle ERP Analyst III

Denver, CO ยท Remote

$115K - $120K/yr

Remote Start Date: ASAP Duration: Permanent Compensation Range: $115,000 - $120,000 Benefits ... Analyze workflows, data collection processes, and technical issues associated with assigned ...

Oracle ERP Analyst III

Denver, CO ยท Remote

$115K - $120K/yr

Remote Start Date: ASAP Duration: Permanent Compensation Range: $115,000 - $120,000 Benefits ... Analyze workflows, data collection processes, and technical issues associated with assigned ...

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 ...

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Remote Data Collection Associate information

See Denver, CO salary details

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

As of Sep 12, 2026, the average hourly pay for remote data collection associate in Denver, CO is $21.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.75 per hour, depending on experience, location, and employer.

What is a remote data collection associate?

A Remote Data Collection Associate is a professional responsible for gathering, organizing, and verifying data from various digital sources while working remotely. Their tasks often include conducting surveys, inputting information into databases, reviewing data for accuracy, and preparing reports for analysis. This role typically requires strong attention to detail, proficiency with data management tools, and the ability to work independently. Remote Data Collection Associates play a vital role in ensuring organizations have accurate and reliable data to inform decision-making.

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

To thrive as a Remote Data Collection Associate, you need strong attention to detail, data entry proficiency, and familiarity with research methodologies, often supported by a relevant degree or prior data handling experience. Experience using data collection tools such as survey platforms (e.g., SurveyMonkey, Qualtrics), spreadsheets, and CRM systems is typically required. Excellent communication, time management, and self-motivation are crucial soft skills for working independently and ensuring data accuracy. These abilities are essential for maintaining high-quality data, meeting deadlines, and supporting informed decision-making in remote environments.

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

Remote Data Collection Associates often encounter challenges such as ensuring data accuracy, managing time effectively without direct supervision, and communicating clearly with team members across different time zones. To address these challenges, it's helpful to establish a structured daily routine, use project management tools for tracking tasks, and participate in regular virtual check-ins with the team. Emphasizing attention to detail and proactively seeking clarification when needed can also help maintain high data quality and foster effective collaboration.

What are the most commonly searched types of Remote Data Collection jobs in Denver, CO?

The most popular types of Remote Data Collection jobs in Denver, CO are:

Project Manager - Aerial Geospatial Operations & Delivery

Denver, CO โ€ข Remote

$130K - $140K/yr

Full-time

Posted 10 days ago


Job description

Robotic Data is seeking an experienced Project Manager โ€“ 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:
  • Bachelorโ€™s degree or equivalent professional experience.
  • Minimum 5 yearsโ€™ project management experience or 10 yearsโ€™ related experience.
  • 8โ€“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.