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Remote Data Collection Driver Jobs in Rochester, NY

Senior Environmental Engineer 1

Rochester, NY ยท On-site +1

$101K - $138K/yr

A remote position may be considered for the ideal candidate. DUTIES/RESPONSIBILITIES In this ... Perform routine data collection and optimization activities for remediation systems. * Conduct ...

FP&A and Reporting Lead

Fairport, NY ยท On-site +1

$81K - $101K/yr

Partner with global and regional finance teams to ensure assumptions are realistic, data-driven ... drivers. Commercial Finance * Drive pricing strategy, portfolio mix optimization, and customer ...

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Remote Data Collection Driver information

See Rochester, NY salary details

$15

$24

$31

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

As of Jun 23, 2026, the average hourly pay for remote data collection driver in Rochester, NY is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $25.62 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 the most commonly searched types of Data Collection Driver jobs in Rochester, NY? The most popular types of Data Collection Driver jobs in Rochester, NY are:
What are popular job titles related to Remote Data Collection Driver jobs in Rochester, NY? For Remote Data Collection Driver jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in Rochester, NY look for? The top searched job categories for Remote Data Collection Driver jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Data Collection Driver jobs? Cities near Rochester, NY with the most Remote Data Collection Driver job openings:

AgTech Field Technician (May-August) - Batavia

Vivid Machines

Rochester, NY โ€ข On-site, Remote

$22/hr

Full-time

Posted 22 days ago


Job description

Join Vivid Machines, a trailblazing venture-backed startup revolutionizing fruit farming with cutting-edge computer vision and AI.


From the farm to the packing line, Vivid's real-time insights help fruit producers grow more with less, making food more sustainable, affordable, and predictable. Our technology is already supporting the growers behind the fruit you see at Costco, Walmart, and Wegmans.


We're looking for an AgTech Field Technician that will support customers by collecting fruit growth data, and helping growers understand and use insights to improve operations.


This role involves traveling to farm locations in Lyndonville and Williamson, along with remote work reviewing and analyzing data. This position is from May 1 - August 30th 2026.


Join our extraordinary team.


We value excellence, integrity, curiosity, passion, open-mindedness, and decisive action. We iterate quickly, deliver with purpose, and work with people who bring their unique strengths to the team.


If you love supporting customers, the pace of a scaling startup, and want to make a global impact, we'd love to meet you.

How you'll make an impact.

As an AgTech Field technician, you will work closely with our customers to provide the best possible experience by carrying out a data collection plan and helping in-field with the deployment of the Vivid X system and collection of fruit growth data. You will help interpret the results for growers, and support with information on how they may use the data to improve their operations.

You will also work closely with our data annotation and engineering teams to provide feedback and direction on what you discover in the field, and how we may make improvements to data collection, annotation, and our overall sensor and computer vision system.

If you're curious, and enjoy a combination of hands-on fieldwork, customer relationship development, team collaboration, project planning, and analysis, this role is for you!

What you'll be doing:


  • First things first: you will get full training on our tools and technology, then have shadowing sessions with the team.
  • Once you are up to speed, you will have 5 main responsibilities:
  1. Carry out field trials to test our technology at various apple growth stages, analyze outcomes, and provide feedback on how to improve outcomes.
  2. Work in-field to capture images of relevant plant physiology throughout the growing season with our sensor and manually capture count and size data for comparison. You will work with our technology team to oversee the analysis and interpretation of results collected in the field.
  3. Be our in-house expert on plant physiology and disease issues, and participate in internal and external meetings and communications, and create a hub of resources and information.
  4. Work with our data and technology team to help advise on product requirements and reports on customer needs, problems, interests, and potential for new products and services.
  5. Annotating data frames collected from the field to help train the Vivid X system

Starting in May, you will be trained in the field and in the office on how to use the technology. You will be working 8-hour days, 5 days a week. You'll need a driver's license and vehicle for your time in the field, which we expect to be the majority of the time (great for outdoor enthusiasts!) depending on the weather. Your infield work will be on farms, your office days will be remote.

What you need to bring:


  • A deep respect for farmers and farming, and a passion for agronomy and agriculture technology.
  • An understanding of plant physiology, and related pests, diseases, and the impact of nutrient deficiencies
  • An excellent understanding of Excel
  • Curiosity about the latest developments in artificial intelligence and hardware technology, and how they can be applied to solve big problems in agriculture
  • A willingness to roll up your sleeves and try things - whether it's driving an ATV, testing mechanical components, troubleshooting technology, or working with a grower to learn more about fruit production.
  • You're comfortable working in an environment where things move fast, and you can roll up your sleeves and get things done! You've got this!
  • You love to work outside and are highly motivated and target driven
  • A valid driver's license and access to a vehicle

People from all backgrounds can succeed at Vivid Machines. We believe differences and diversity help build excellent businesses.

Why do you want to work at Vivid Machines?

  • You will be offered a competitive compensation package
  • You will learn about cutting-edge technology including artificial intelligence, and how it can be applied to solve problems and develop products
  • You can help build an amazing product in a company that plans to change the world

Where to go from here?


We want to ensure it's a good fit on both sides, so you get a job you love, and we offer you a place you're proud to work at. Please apply through the job link on this page.

Vivid Machines is an equal opportunity employer committed to providing a working environment that embraces and values inclusion and diversity.